Dr. Ambedkar Institute of Technology in Bengaluru. The document discusses analog to digital converters (ADCs), which convert continuous analog voltages to discrete digital codes. It describes several types of ADC architectures, including flash ADCs, pipeline ADCs, successive approximation ADCs, and oversampled ADCs. For flash ADCs, it provides details on their design and operation, accuracy issues related to resistor matching and comparator offsets, and discusses two-step flash ADCs which reduce component count. Operational amplifiers used in the amplification stage also impact accuracy.
1. Low-pass filters allow low frequencies to pass through but attenuate frequencies higher than the cutoff frequency. They are implemented using a resistor and capacitor in conjunction with an op-amp amplifier.
2. A first-order low-pass filter has a single RC pair and rolls off at -20dB per decade above the cutoff frequency. Higher-order filters use multiple RC stages to achieve steeper roll-offs such as -40dB per decade for a second-order filter.
3. The cutoff frequency is the frequency at which the gain is 3dB below the maximum and is inversely proportional to the product of the resistor and capacitor values in each stage.
The document discusses different types of comparators and their applications. It begins by explaining how a comparator works by comparing an input signal voltage to a reference voltage. It then describes two types of comparators - non-inverting and inverting - based on which input terminal receives the signal. Several applications of comparators are listed including zero crossing detectors, window comparators, and Schmitt triggers. The document goes on to explain these applications in more detail and discusses other comparator topics such as hysteresis and integrated circuit comparators.
The document discusses analog to digital conversion. It begins by explaining the difference between analog and digital signals. It then provides examples of applications that require analog to digital conversion like microphones and thermocouples. The document discusses the two main steps in analog to digital conversion - quantization, which breaks down the analog value into discrete states, and encoding, which assigns a digital value to each state. It also discusses factors that affect accuracy like resolution and sampling rate. Finally, it describes several types of analog to digital converters like flash ADCs, sigma-delta ADCs, dual slope ADCs, and successive approximation ADCs.
This Presentation is related to multistage amplifiers. different topics related to multistage amplifiers like two stage amplifiers. Two stage RC coupled amplifiers, cascading techniques, CE-CB cascod amplifiers, darlington pair, fet analysis
The successive approximation register (SAR) analog-to-digital converter (ADC) uses a binary search algorithm to iteratively approximate the digital output value for an analog input signal. For each bit, it outputs a value from the digital-to-analog converter (DAC) based on the previous bits, compares this to the input, and sets the current bit accordingly. This process is repeated for all bits until the full digital output value is determined. SAR ADCs are well suited for applications requiring 8-16 bit resolution at sampling rates under 10 megasamples per second, as they have low power consumption and a small physical size but trade off in maximum sampling speed.
This presentation summarizes an operational amplifier based function generator that can produce sine, square, triangular, and sawtooth waveforms. It describes the working of the square wave generator using an op-amp and capacitor to charge and discharge, producing a switching output. A triangular wave is generated by charging and discharging a capacitor with a constant current. This triangular wave can then be shaped into a sine wave using a diode clipping circuit. The function generator can output different frequencies and amplitudes and is used to test electronic equipment.
The document discusses various impairments that can affect error vector magnitude (EVM) testing, including thermal noise, phase noise, spurious signals, amplitude and phase non-linearities, filtering effects, DC offsets, and IQ mismatches. It emphasizes that designing an accurate EVM test bench requires a low internal EVM and minimizing these impairments through calibration. Presto Engineering is an experienced test house for evaluating EVM, especially at millimeter wave frequencies.
1. Low-pass filters allow low frequencies to pass through but attenuate frequencies higher than the cutoff frequency. They are implemented using a resistor and capacitor in conjunction with an op-amp amplifier.
2. A first-order low-pass filter has a single RC pair and rolls off at -20dB per decade above the cutoff frequency. Higher-order filters use multiple RC stages to achieve steeper roll-offs such as -40dB per decade for a second-order filter.
3. The cutoff frequency is the frequency at which the gain is 3dB below the maximum and is inversely proportional to the product of the resistor and capacitor values in each stage.
The document discusses different types of comparators and their applications. It begins by explaining how a comparator works by comparing an input signal voltage to a reference voltage. It then describes two types of comparators - non-inverting and inverting - based on which input terminal receives the signal. Several applications of comparators are listed including zero crossing detectors, window comparators, and Schmitt triggers. The document goes on to explain these applications in more detail and discusses other comparator topics such as hysteresis and integrated circuit comparators.
The document discusses analog to digital conversion. It begins by explaining the difference between analog and digital signals. It then provides examples of applications that require analog to digital conversion like microphones and thermocouples. The document discusses the two main steps in analog to digital conversion - quantization, which breaks down the analog value into discrete states, and encoding, which assigns a digital value to each state. It also discusses factors that affect accuracy like resolution and sampling rate. Finally, it describes several types of analog to digital converters like flash ADCs, sigma-delta ADCs, dual slope ADCs, and successive approximation ADCs.
This Presentation is related to multistage amplifiers. different topics related to multistage amplifiers like two stage amplifiers. Two stage RC coupled amplifiers, cascading techniques, CE-CB cascod amplifiers, darlington pair, fet analysis
The successive approximation register (SAR) analog-to-digital converter (ADC) uses a binary search algorithm to iteratively approximate the digital output value for an analog input signal. For each bit, it outputs a value from the digital-to-analog converter (DAC) based on the previous bits, compares this to the input, and sets the current bit accordingly. This process is repeated for all bits until the full digital output value is determined. SAR ADCs are well suited for applications requiring 8-16 bit resolution at sampling rates under 10 megasamples per second, as they have low power consumption and a small physical size but trade off in maximum sampling speed.
This presentation summarizes an operational amplifier based function generator that can produce sine, square, triangular, and sawtooth waveforms. It describes the working of the square wave generator using an op-amp and capacitor to charge and discharge, producing a switching output. A triangular wave is generated by charging and discharging a capacitor with a constant current. This triangular wave can then be shaped into a sine wave using a diode clipping circuit. The function generator can output different frequencies and amplitudes and is used to test electronic equipment.
The document discusses various impairments that can affect error vector magnitude (EVM) testing, including thermal noise, phase noise, spurious signals, amplitude and phase non-linearities, filtering effects, DC offsets, and IQ mismatches. It emphasizes that designing an accurate EVM test bench requires a low internal EVM and minimizing these impairments through calibration. Presto Engineering is an experienced test house for evaluating EVM, especially at millimeter wave frequencies.
The document discusses operational amplifiers (op-amps) and their use in integrator and differentiator circuits. It defines an op-amp as an integrated circuit that amplifies input signals through high gain. An integrator circuit uses an op-amp with a capacitor in feedback, resulting in an output voltage that is inversely proportional to time. A differentiator circuit contains a capacitor in the signal path, producing an output equal to the derivative of the input voltage. Practical implementations of these circuits are also described, along with their applications in areas like analog computing and signal processing.
This document provides an overview of different digital logic families. It begins by introducing logic gates and integrated circuits. It then classifies logic families as either bipolar or unipolar, and lists examples of each. Key specifications of digital ICs are defined, including propagation delay, fan-in/fan-out, input/output logic levels, and noise margin. Transistor-transistor logic (TTL) and complementary metal-oxide-semiconductor (CMOS) circuits are described. The TTL NAND gate uses multiple emitter transistors while the CMOS NAND gate uses both P-channel and N-channel MOSFETs. Emitter-coupled logic (ECL) provides the fastest
This document discusses the successive approximation analog-to-digital converter (ADC) circuit. It works by using a digital-to-analog converter (DAC) to make successive approximations of the input voltage over multiple trials. During each trial, one bit is determined by comparing the input to the DAC output. This process is repeated until all bits are determined, allowing the input voltage to be represented as a digital value. The document notes that successive approximation ADCs can provide high speed conversion at medium accuracy levels in a cost-effective design. However, higher resolution circuits will be slower.
The document describes an experiment on electronic circuits and simulation lab involving voltage shunt feedback amplifiers. It includes the aim, components, circuit diagrams, theory, design process, procedure, tabular column and expected results for analyzing the amplifier's characteristics both with and without feedback, including mid band gain, bandwidth, input and output impedance. Key aspects like frequency response will be measured and compared between the feedback and non-feedback configurations.
This document discusses the design and characteristics of CMOS voltage comparators. It begins by defining the basic requirement of a comparator to compare an analog input voltage to a reference voltage and output a binary signal. It then covers comparator static characteristics like gain, offset voltage, resolution and noise. Dynamic characteristics of propagation delay and slew rate are also discussed. Different comparator circuit topologies like open-loop, regenerative and high-speed designs are presented. The document provides small-signal models of common comparator circuits and examines the effects of hysteresis. It concludes by presenting the typical architecture of high-speed comparators using preamplifier and latch stages to minimize propagation delay.
Neutralization is a technique used to cancel feedback in bipolar junction transistors (BJTs) and field-effect transistors (FETs) that can cause instability over certain frequency ranges. This is done by introducing an additional feedback signal of equal amplitude but opposite phase to cancel the original feedback. In a neutralized transistor circuit, a negative capacitor is typically used to introduce this additional feedback signal. The Hazeltine neutralization method uses a variable capacitor connected from the bottom of an RF amplifier coil to the transistor base to neutralize the feedback from the collector-base capacitance. A modified version called Neutrodyne neutralization connects the capacitor to the secondary coil of the next stage for improved stability and insensitivity to supply voltage variations.
This document provides information about analog to digital conversion and digital to analog conversion. It discusses different types of converters including flash ADCs, successive approximation ADCs, dual slope ADCs, R-2R ladder DACs, and weighted resistor DACs. It also covers analog and digital signals, the conversion processes, and applications of ADCs and DACs in areas like data acquisition and fiber optic communication.
Digital modulation techniques allow for more efficient transmission of digital data by varying certain properties of the carrier signal, such as amplitude, frequency, or phase, based on the digital bit stream. There are tradeoffs between bandwidth efficiency, power efficiency, and implementation complexity for different modulation schemes. Common digital modulation techniques include amplitude-shift keying (ASK), frequency-shift keying (FSK), phase-shift keying (PSK), and quadrature amplitude modulation (QAM), with higher-order schemes transmitting more than one bit per symbol. Performance metrics like bit error rate (BER) are used to evaluate and compare modulation techniques.
1) The document discusses analog-to-digital converters (ADCs), including their basic function of converting continuous analog signals to discrete digital numbers.
2) It describes several types of ADCs - flash, successive approximation, dual slope, and delta-sigma - along with their relative speeds and costs.
3) The document then focuses on the ATD10B8C ADC present on the MC9S12C32 microcontroller, outlining its key features, registers, and how to set it up and use it to take single-channel or multi-channel conversions.
This document discusses different types of filters. It describes high-pass filters, which pass high frequencies and block low frequencies. It also describes low-pass filters, which do the opposite by passing low frequencies and blocking high frequencies. The document provides examples of passive and active low-pass filter circuits and discusses their applications in areas like telephone lines, acoustics, and radio transmitters. The objective is to study the characteristics of passive low-pass filters and measure their cut-off frequency.
This document discusses the Z-transform, which converts a discrete-time signal into a complex frequency domain representation. Some key points:
- The Z-transform provides a technique for analyzing and designing discrete time signals and systems, representing them in the complex Z-plane. It has advantages over other transforms like allowing stability analysis.
- The region of convergence (ROC) is the set of Z-plane values where the Z-transform is finite. ROCs cannot contain poles and must be connected. Causal sequences have an exterior ROC, anti-causal an interior one.
- Z-transforms characterize discrete time signals and linear time-invariant systems completely. Properties include how ROCs restrict poles, and transformations
This document discusses digital to analog converters (DACs). It explains that a DAC converts digital numbers into analog voltages or currents. The key components of a DAC are its digital input, analog output, and conversion process. Common DAC types include binary weighted resistor DACs and R-2R ladder DACs, which use resistors and switches to implement the conversion. Important DAC specifications are also outlined such as reference voltage, resolution, speed, settling time, and linearity. Common applications of DACs include function generators, digital oscilloscopes, and converting digital video signals to analog formats for display.
This document discusses feedback amplifiers and their classifications. It describes four types of amplifiers: voltage amplifiers, current amplifiers, transconductance amplifiers, and transresistance amplifiers. It explains their characteristics and how they are defined based on input and output resistances. The document also introduces the concept of feedback, describing the basic components of a feedback loop including the signal source, feedback network, and sampling network. Feedback modifies the characteristics of an amplifier by combining a portion of the output signal with the external input signal.
This document discusses the design of FIR filters using window functions. It begins by explaining that windows are used to modify the impulse response of filters to reduce ripples and achieve a smooth transition from passband to stopband. It then provides examples of common window functions, including rectangular, Hanning, Hamming, and Blackman windows. It concludes by showing the design of a low-pass FIR filter using a Hamming window to meet specific specifications for cutoff frequency and transition width.
A signal generator produces standardized electronic signals that can be modulated in amplitude, frequency, or other properties. It is used to test electronic devices and components. A standard signal generator generates stable, controllable voltages that can be amplitude or frequency modulated. It is commonly used to test radios and transmitters. A function generator produces common waveform types like sine, square, triangle, and sawtooth waves over a wide frequency range for testing purposes.
This document discusses the generation of frequency modulation (FM) using direct and indirect methods. The direct method uses a reactance modulator like a varactor diode or FET placed across an LC oscillator tank circuit to vary the capacitance or inductance in proportion to the modulating voltage. The indirect method generates FM through phase modulation using a crystal oscillator and phase modulator, then detecting the phase changes to create FM. Vector diagrams are also presented to illustrate phase modulation. Effects of frequency changing like multiplication and mixing on FM signals are explained.
Delta modulation is a modulation technique that transmits only one bit per sample of an analog signal. It works by comparing the present sample value to the previous one and transmitting a bit to indicate if the value increased or decreased. This results in a stepped approximation of the original signal. Only a single bit is needed per sample, allowing delta modulation to have a lower signaling rate and bandwidth than PCM. However, it suffers from slope overload distortion if the input signal changes too quickly for the fixed step size. It also produces granular noise for small input variations due to the large step size. Despite these issues, delta modulation is used for voice transmission systems due to its simple implementation and emphasis on timely delivery over quality.
Fir filter design using Frequency sampling methodSarang Joshi
The document discusses the design of a finite impulse response (FIR) filter using the frequency sampling technique. It describes how to determine the impulse response of an FIR filter of length 7 to meet specific frequency response specifications. Frequency samples are taken at points and the desired response is defined. The discrete-time Fourier transform (DTFT) and inverse DTFT are used to calculate the impulse response coefficients that produce the desired filter frequency response. Equations for the impulse response h(n) are provided.
Dr. Harsha R presents information on analog to digital converters (ADCs). ADCs are necessary because while the world is analog, digital devices require binary data. The document discusses four main types of ADC architectures: flash ADCs, pipeline ADCs, successive approximation ADCs, and oversampled ADCs. It focuses on flash ADCs, explaining their high-speed parallel design using comparators, resistors, and decoders. However, flash ADCs also have large size and power usage that limits resolution. The document then introduces two-step flash ADCs that reduce component count at the cost of multi-step conversions. Accuracy depends on matching components like resistors as well as comparator offsets.
This document discusses D/A and A/D converters. It covers two types of D/A converters - R-2R DAC and weighted resistor DAC. It also covers two types of A/D converters - successive approximation ADC and dual slope ADC. For dual slope ADC, it describes the operation which involves integrating the input voltage over a fixed time and then integrating a reference voltage to bring the output back to zero. For successive approximation ADC, it describes the process of successively dividing the voltage range in half by changing bits from MSB to LSB until the analog and digital values match.
The document discusses operational amplifiers (op-amps) and their use in integrator and differentiator circuits. It defines an op-amp as an integrated circuit that amplifies input signals through high gain. An integrator circuit uses an op-amp with a capacitor in feedback, resulting in an output voltage that is inversely proportional to time. A differentiator circuit contains a capacitor in the signal path, producing an output equal to the derivative of the input voltage. Practical implementations of these circuits are also described, along with their applications in areas like analog computing and signal processing.
This document provides an overview of different digital logic families. It begins by introducing logic gates and integrated circuits. It then classifies logic families as either bipolar or unipolar, and lists examples of each. Key specifications of digital ICs are defined, including propagation delay, fan-in/fan-out, input/output logic levels, and noise margin. Transistor-transistor logic (TTL) and complementary metal-oxide-semiconductor (CMOS) circuits are described. The TTL NAND gate uses multiple emitter transistors while the CMOS NAND gate uses both P-channel and N-channel MOSFETs. Emitter-coupled logic (ECL) provides the fastest
This document discusses the successive approximation analog-to-digital converter (ADC) circuit. It works by using a digital-to-analog converter (DAC) to make successive approximations of the input voltage over multiple trials. During each trial, one bit is determined by comparing the input to the DAC output. This process is repeated until all bits are determined, allowing the input voltage to be represented as a digital value. The document notes that successive approximation ADCs can provide high speed conversion at medium accuracy levels in a cost-effective design. However, higher resolution circuits will be slower.
The document describes an experiment on electronic circuits and simulation lab involving voltage shunt feedback amplifiers. It includes the aim, components, circuit diagrams, theory, design process, procedure, tabular column and expected results for analyzing the amplifier's characteristics both with and without feedback, including mid band gain, bandwidth, input and output impedance. Key aspects like frequency response will be measured and compared between the feedback and non-feedback configurations.
This document discusses the design and characteristics of CMOS voltage comparators. It begins by defining the basic requirement of a comparator to compare an analog input voltage to a reference voltage and output a binary signal. It then covers comparator static characteristics like gain, offset voltage, resolution and noise. Dynamic characteristics of propagation delay and slew rate are also discussed. Different comparator circuit topologies like open-loop, regenerative and high-speed designs are presented. The document provides small-signal models of common comparator circuits and examines the effects of hysteresis. It concludes by presenting the typical architecture of high-speed comparators using preamplifier and latch stages to minimize propagation delay.
Neutralization is a technique used to cancel feedback in bipolar junction transistors (BJTs) and field-effect transistors (FETs) that can cause instability over certain frequency ranges. This is done by introducing an additional feedback signal of equal amplitude but opposite phase to cancel the original feedback. In a neutralized transistor circuit, a negative capacitor is typically used to introduce this additional feedback signal. The Hazeltine neutralization method uses a variable capacitor connected from the bottom of an RF amplifier coil to the transistor base to neutralize the feedback from the collector-base capacitance. A modified version called Neutrodyne neutralization connects the capacitor to the secondary coil of the next stage for improved stability and insensitivity to supply voltage variations.
This document provides information about analog to digital conversion and digital to analog conversion. It discusses different types of converters including flash ADCs, successive approximation ADCs, dual slope ADCs, R-2R ladder DACs, and weighted resistor DACs. It also covers analog and digital signals, the conversion processes, and applications of ADCs and DACs in areas like data acquisition and fiber optic communication.
Digital modulation techniques allow for more efficient transmission of digital data by varying certain properties of the carrier signal, such as amplitude, frequency, or phase, based on the digital bit stream. There are tradeoffs between bandwidth efficiency, power efficiency, and implementation complexity for different modulation schemes. Common digital modulation techniques include amplitude-shift keying (ASK), frequency-shift keying (FSK), phase-shift keying (PSK), and quadrature amplitude modulation (QAM), with higher-order schemes transmitting more than one bit per symbol. Performance metrics like bit error rate (BER) are used to evaluate and compare modulation techniques.
1) The document discusses analog-to-digital converters (ADCs), including their basic function of converting continuous analog signals to discrete digital numbers.
2) It describes several types of ADCs - flash, successive approximation, dual slope, and delta-sigma - along with their relative speeds and costs.
3) The document then focuses on the ATD10B8C ADC present on the MC9S12C32 microcontroller, outlining its key features, registers, and how to set it up and use it to take single-channel or multi-channel conversions.
This document discusses different types of filters. It describes high-pass filters, which pass high frequencies and block low frequencies. It also describes low-pass filters, which do the opposite by passing low frequencies and blocking high frequencies. The document provides examples of passive and active low-pass filter circuits and discusses their applications in areas like telephone lines, acoustics, and radio transmitters. The objective is to study the characteristics of passive low-pass filters and measure their cut-off frequency.
This document discusses the Z-transform, which converts a discrete-time signal into a complex frequency domain representation. Some key points:
- The Z-transform provides a technique for analyzing and designing discrete time signals and systems, representing them in the complex Z-plane. It has advantages over other transforms like allowing stability analysis.
- The region of convergence (ROC) is the set of Z-plane values where the Z-transform is finite. ROCs cannot contain poles and must be connected. Causal sequences have an exterior ROC, anti-causal an interior one.
- Z-transforms characterize discrete time signals and linear time-invariant systems completely. Properties include how ROCs restrict poles, and transformations
This document discusses digital to analog converters (DACs). It explains that a DAC converts digital numbers into analog voltages or currents. The key components of a DAC are its digital input, analog output, and conversion process. Common DAC types include binary weighted resistor DACs and R-2R ladder DACs, which use resistors and switches to implement the conversion. Important DAC specifications are also outlined such as reference voltage, resolution, speed, settling time, and linearity. Common applications of DACs include function generators, digital oscilloscopes, and converting digital video signals to analog formats for display.
This document discusses feedback amplifiers and their classifications. It describes four types of amplifiers: voltage amplifiers, current amplifiers, transconductance amplifiers, and transresistance amplifiers. It explains their characteristics and how they are defined based on input and output resistances. The document also introduces the concept of feedback, describing the basic components of a feedback loop including the signal source, feedback network, and sampling network. Feedback modifies the characteristics of an amplifier by combining a portion of the output signal with the external input signal.
This document discusses the design of FIR filters using window functions. It begins by explaining that windows are used to modify the impulse response of filters to reduce ripples and achieve a smooth transition from passband to stopband. It then provides examples of common window functions, including rectangular, Hanning, Hamming, and Blackman windows. It concludes by showing the design of a low-pass FIR filter using a Hamming window to meet specific specifications for cutoff frequency and transition width.
A signal generator produces standardized electronic signals that can be modulated in amplitude, frequency, or other properties. It is used to test electronic devices and components. A standard signal generator generates stable, controllable voltages that can be amplitude or frequency modulated. It is commonly used to test radios and transmitters. A function generator produces common waveform types like sine, square, triangle, and sawtooth waves over a wide frequency range for testing purposes.
This document discusses the generation of frequency modulation (FM) using direct and indirect methods. The direct method uses a reactance modulator like a varactor diode or FET placed across an LC oscillator tank circuit to vary the capacitance or inductance in proportion to the modulating voltage. The indirect method generates FM through phase modulation using a crystal oscillator and phase modulator, then detecting the phase changes to create FM. Vector diagrams are also presented to illustrate phase modulation. Effects of frequency changing like multiplication and mixing on FM signals are explained.
Delta modulation is a modulation technique that transmits only one bit per sample of an analog signal. It works by comparing the present sample value to the previous one and transmitting a bit to indicate if the value increased or decreased. This results in a stepped approximation of the original signal. Only a single bit is needed per sample, allowing delta modulation to have a lower signaling rate and bandwidth than PCM. However, it suffers from slope overload distortion if the input signal changes too quickly for the fixed step size. It also produces granular noise for small input variations due to the large step size. Despite these issues, delta modulation is used for voice transmission systems due to its simple implementation and emphasis on timely delivery over quality.
Fir filter design using Frequency sampling methodSarang Joshi
The document discusses the design of a finite impulse response (FIR) filter using the frequency sampling technique. It describes how to determine the impulse response of an FIR filter of length 7 to meet specific frequency response specifications. Frequency samples are taken at points and the desired response is defined. The discrete-time Fourier transform (DTFT) and inverse DTFT are used to calculate the impulse response coefficients that produce the desired filter frequency response. Equations for the impulse response h(n) are provided.
Dr. Harsha R presents information on analog to digital converters (ADCs). ADCs are necessary because while the world is analog, digital devices require binary data. The document discusses four main types of ADC architectures: flash ADCs, pipeline ADCs, successive approximation ADCs, and oversampled ADCs. It focuses on flash ADCs, explaining their high-speed parallel design using comparators, resistors, and decoders. However, flash ADCs also have large size and power usage that limits resolution. The document then introduces two-step flash ADCs that reduce component count at the cost of multi-step conversions. Accuracy depends on matching components like resistors as well as comparator offsets.
This document discusses D/A and A/D converters. It covers two types of D/A converters - R-2R DAC and weighted resistor DAC. It also covers two types of A/D converters - successive approximation ADC and dual slope ADC. For dual slope ADC, it describes the operation which involves integrating the input voltage over a fixed time and then integrating a reference voltage to bring the output back to zero. For successive approximation ADC, it describes the process of successively dividing the voltage range in half by changing bits from MSB to LSB until the analog and digital values match.
Digital to analog converters (DACs) and analog to digital converters (ADCs) allow the conversion between analog and digital signals. DACs take a digital input and output a proportional analog voltage. Common DAC types include binary weighted resistor DACs and R-2R ladder DACs. ADCs take an analog input and output a digital code representing that voltage. Common ADC types are successive approximation ADCs, dual slope integrator ADCs, and counter/staircase ramp ADCs. Data converters are essential for digital signal processing and the interfacing of analog and digital systems.
This document discusses analog to digital conversion (ADC). It explains that an analog signal is continuous while a digital signal is discrete. An ADC converts an analog signal to a digital signal using two main steps: 1) quantization which breaks down the analog value into discrete states and 2) encoding which assigns a binary number to each state. There are three main types of ADCs: flash ADCs which are very fast but expensive; dual slope ADCs which are slower but cheaper; and successive approximation ADCs which provide a balance between speed and cost. The document provides details on how each type of ADC works.
An analog to digital converter (ADC) converts a continuous analog signal to a discrete digital signal. The main steps are sampling and holding the input signal, then quantizing and encoding it into a digital output with a number of discrete levels determined by the number of bits of the ADC. Common types of ADCs include successive approximation, dual slope, pipeline, delta-sigma, and flash ADCs. A digital to analog converter (DAC) performs the opposite conversion, taking a digital input and producing an analog output signal. DACs can use a system of weighted resistors or an R-2R ladder network to perform the conversion. ADCs and DACs are widely used in applications like digital signal processing, scientific instruments, and
Unit IV DA & AD Convertors and Phase Locked LoopDr.Raja R
Analog-to-digital, digital-to-analog, sample and hold circuits; voltage controlled oscillator, phase locked loop – operating principles, applications of PLL.
This document discusses data converter fundamentals including ideal and practical analog-to-digital (A/D) and digital-to-analog (D/A) converters. It describes the basic concepts of converting between analog and digital signals, types of A/D converters including flash, successive approximation, and counter converters. It also discusses performance limitations, quantization noise, and interfacing temperature sensors.
This document provides information on analog to digital converters (ADCs) and digital to analog converters (DACs). It discusses several types of ADCs including flash, counter, successive approximation, single slope, and dual slope ADCs. It also covers digital to analog conversion techniques like weighted resistor DACs, R-2R ladder DACs, and specifications for DACs and ADCs. Block diagrams and operating principles are presented for different converter types.
This document discusses the dual slope analog-to-digital converter (ADC). It begins by defining an ADC and listing common types. It then describes the dual slope ADC in more detail. The dual slope ADC works by integrating an unknown input voltage for a fixed time, then integrating a reference voltage of opposite polarity until the integrator output returns to zero. The digital output is based on the reference voltage, integration times, and clock measurements. The dual slope ADC has advantages like noise reduction but is slower than other ADCs and requires precise external components for high accuracy. Its applications include temperature measurement and digital voltmeters.
The document discusses different types of analog to digital converters (ADCs). It describes 6 main types - counter/ramp ADC, tracking ADC, successive approximation ADC, flash ADC, delta-sigma ADC, and dual slope integrating ADC. For each type it provides a brief overview of the operating principle and block diagram. It also discusses important ADC specifications and parameters such as resolution, quantization error, dynamic range, signal to noise ratio, aperture delay etc.
The document discusses digital to analog (DAC/D/A) and analog to digital (ADC/A/D) conversion. It describes how DACs convert binary digital signals into analog voltages using techniques like weighted resistor networks and R-2R ladder circuits. ADCs convert analog voltages to digital codes, with common types being counter-based, dual-slope integrating, flash, and successive approximation converters. Successive approximation ADCs are widely used in laboratories due to their reasonable cost and conversion speeds of around 10-20ms.
An approach to design Flash Analog to Digital Converter for High Speed and Lo...VLSICS Design
This paper proposes the Flash ADC design using Quantized Differential Comparator and fat tree encoder. This approach explores the use of a systematically incorporated input offset voltage in a differential amplifier for quantizing the reference voltages necessary for Flash ADC architectures, therefore eliminating the need for a passive resistor array for the purpose. This approach allows very small voltage comparison and complete elimination of resistor ladder circuit. The thermometer code-to-binary code encoder has become the bottleneck of the ultra-high speed flash ADCs. In this paper, the fat tree thermometer code to-binary code encoder is used for the ultra high speed flash ADCs. The simulation and the implementation results shows that the fat tree encoder performs the commonly used ROM encoder in terms of speed and power for the 6 bit CMOS flash ADC case. The speed is improved by almost a factor of 2 when using the fat tree encoder, which in fact demonstrates the fat tree encoder and it is an effective solution for the bottleneck problem in ultra-high speed ADCs.The design has been carried out for the 0.18um technology using CADENCE tool.
The document discusses interfacing analog to digital converters (ADCs), digital to analog converters (DACs), and sensors with PIC18F microcontrollers. It describes the basics of AD conversion including transducers. It then discusses characteristics, registers, and programming of the PIC18F ADC. It also covers DAC concepts and interfacing a DAC0888. Finally, it discusses temperature sensors and interfacing LM34 and LM35 sensors to measure temperature.
This document describes a proposed technique for a 10-bit high-speed successive approximation register (SAR) analog-to-digital converter (ADC). The technique uses a hybrid architecture that partitions the input range into 256 quantization cells using an 8-bit flash ADC, then assigns a 10-bit binary code to each cell. Only 2 comparisons are needed for 10-bit conversion using a successive approximation approach. The proposed ADC architecture is described and experimental results showing differential and integral nonlinearities within specifications are presented, validating the technique.
This document provides a tutorial on simplified digital to analog converters (DACs) and analog to digital converters (ADCs). It describes several DAC implementations including a weighted resistor DAC, an alternative DAC using voltage-controlled switches, and an R-2R ladder DAC. It also covers several ADC methods including a basic counting ADC, a successive approximation register (SAR) ADC, and a flash ADC. Circuit diagrams and simulations are provided to illustrate the operation of each type of converter.
The document describes several types of analog-to-digital converters (ADCs): dual slope, flash, successive approximation, and sigma-delta. It explains the basic functioning of each type, including their key components and steps in the conversion process. For each ADC type, it provides a brief summary of their pros and cons in terms of speed, accuracy, cost, and resolution. The document serves to introduce the fundamental concepts and tradeoffs of different ADC architectures.
digital anlage c converter for digital .pptAbdullahOmar64
This document discusses digital to analog conversion (DAC) and analog to digital conversion (ADC). It explains that DAC converts a digital signal from a computer into an analog voltage. This can be done using a resistor ladder network or R-2R ladder. ADC converts a real-world analog voltage into a digital number that a computer can process. Common ADC types include counter, dual-slope integrating, flash, and successive approximation. Successive approximation ADCs are widely used as they provide good speed and accuracy at a reasonable cost.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
1. Dr. AMBEDKAR INSTITUTE OF TECHNOLOGY
BY: HARSHA.R
ASSISTANT PROFESSOR
ECE DEPARTMENT,DR AMBEDKAR INSTITUTE OF
TECHNOLOGY,BENGALURU
Mob:9620640486
ANALOG MIXED MODE VLSI
ANALOG TO DIGITAL CONVERTER
UNIT III,ECE
1
2. What is an ADC (Analog to Digital Converter)?
• An analog to digital converter is a circuit that converts a continuous
voltage value (analog) to a binary value (digital) that can be understood by
a digital device which could then be used for digital computation.
• These ADC circuits can be found as an individual ADC ICs by themselves
or embedded into a microcontroller. They’re called ADCs for short.
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
2
3. Why analog to digital converters?
Modern day electronics is purely digital – gone are the good old days of analog computers.
Unfortunately for digital systems, the world we live in is still analog.
For example a temperature sensor like the LM35 outputs a voltage dependent on the
temperature, in the case of that specific device 10mV per degree rise in temperature. If
we directly connect this to a digital input, it will register either as a high or a low
depending on the input thresholds, which is completely useless.
Instead we use an ADC to convert the analog voltage input to a series of bits that can be
directly connected to the data bus of the microprocessor and used for computation.
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
3
4. TYPES OF ADC ARCHITECTURES:
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
4
1. FLASH ADC
2. PIPELINE ADC
3. SUCCESSIVE APPROXIMATION ADC
4. OVER SAMPLED ADC
5. 1. Flash ADC
• Flash or parallel converters have the highest speed
of conversion than compared to any type of
ADC.
• As seen in Fig, they use one comparator per
quantization level (2 𝑁- 1) and 2 𝑁 resistors (a
resistor-string DAC).
• The reference voltage is divided into 2N values,
each of which is fed into a comparator.
• The input voltage is compared with each
reference value and results in a thermometer
code at the output of the comparators.
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
5
6. Contd..
• A thermometer code exhibits all zeros for each
resistor level if the value of 𝑣 𝑚 is less than the value
on the resistor string, and ones if 𝑣𝐼 𝑁 is greater
than or equal to voltage on the resistor string.
• A simple 2 𝑁 − 1: 𝑁 digital thermometer decoder
circuit converts the compared data into an N-bit
digital word.
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
6
8. Design a 3-bit Flash converter, listing the values of the voltages at each resistor tap, draw the transfer
curve for Vin =0 to 5V. Assume Vref = 5v. Construct a table listing the values of the thermometer code
and the output of the decoder for Vin =1.5V,3v, 4.5V.
• Solution :
The 3-bit flash can be seen in figure 1.
The values of all the resistors are equal, therefore the voltage of each resister tap Vi is given by
Vi=Vref(i/8) (ideal) -------(1)
Where I is the number of resistor in the string for i=1 to 7.
By using the equation from (1) and substituting the value of i we obtain
V1=0.625V
V2=1.25V
V3=1.875V
V4=2.5V
V5=3.125V
V6=3.75V
V7=4.375V
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
8
Figure 1: Transfer curve for the 3-bit flash converter
9. • When Vin first becomes equal or greater than each of these values an transition will
occur in the transfer curve, which can be seen in figure 1.
• The quantization levels and there corresponding thermometer codes is shown in
table 1
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
9
10. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
10
Figure 2: 3-bit flash ADC
Table1:code transition for the Flash ADC
flash ADC
11. Advantages of Flash ADC
1. The advantage of this converter is the speed with which one
conversion can take place. Each clock pulse generates an output digital
word.
2. The advantage of having high speed, however, is counter
balanced by the doubling of area with each bit of increased resolution. For
example, an 8-bit converter requires 255 comparators, but a 9-bit ADC
requires 511!
3. Flash converters have traditionally been limited to 8-bit resolution with
conversion speeds of 10-40 Ms/s using CMOS technology.
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
11
12. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
12
Disadvantages of Flash ADC
1. The disadvantages of the Flash ADC are the area and power
requirements of the 2 𝑁- 1comparators.
2. The speed is limited by the switching of the comparators
and the digital logic.
13. ***Accuracy Issues for the FlashADC***
– Accuracy depends on the matching of the resistor string and the input
offset voltage of the comparators
– an ideal comparator should switch at the point in which the two inputs,
𝑣+ and 𝑣− , are the same potential. However, the offset voltage, Vos
prohibits this from occurring as the comparator output switches states
as follows:
𝑉0 = 1
𝑉0 = 0
𝑤ℎ𝑒𝑛
𝑤ℎ𝑒𝑛
𝑉+ ≥ 𝑉− + Vos
𝑉+ < 𝑉− + Vos
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
13
14. • We know from N bit resistor string DAC the value of the voltage
at the 𝑖𝑡ℎ tap is
Where 𝑉𝑖, 𝑖 𝑑 𝑒 𝑎 𝑙 = voltage at the 𝑖𝑡ℎ tap if all the resistors had an ideal value of R,
Δ𝑅𝑘is value of resistance error due to mismatch,
• Then switching point of 𝑖𝑡ℎcomparator becomes
𝑉𝑠 𝑤,𝑖 = 𝑉𝑖+ 𝑉𝑜𝑠, 𝑖
Where 𝑉𝑜s,𝑖 is input offset voltage of 𝑖𝑡ℎ comparator
• Then INL is given by
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
14
15. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
15
• The worst-case INL will occur at the middle of the string (i = 2 𝑁−1), as
described for R-2R DAC. Including the offset voltage, the maximum INL
will be
16. • DNL
– Using the definition of DNL,
But 𝑉𝑠𝑤,𝑖 = 𝑉𝑖+ 𝑉𝑜𝑠,𝑖 thus We can be write DNL as
• The maximum DNL will occur, assuming Δ𝑅𝑖 is at its
maximum, and 𝑉𝑜𝑠,𝑖 at its maximum positive value, and 𝑉𝑜𝑠,𝑖is
at its maximum negative voltage Thus
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
16
(Similar to resister string DAC)
17. The two-step Flash ADC.
• Another type of Flash converter is called the two-step Flash converter or the parallel,
feed-forward ADC.
• The basic block diagram of a two-step converter is seen in Fig. above.
• The converter is separated into two complete Flash ADCs with feed-forward circuitry.
• The first converter generates a rough estimate of the value of the input, and the second
converter performs a fine conversion.
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
17
18. 2(2 𝑁/2-1 )
For example, an 8-bit Flash converter requires 255 comparators, while the
two-step Flash requires only 30.
• The trade-off is that the conversion process takes two steps instead of one,
with the speed limited by the bandwidth and settling time required by the
residue amplifier and the summer.
• Conversion process is as follows :
1. After the input is sampled, the most significant bits (MSBs) are converted by the first
Flash ADC.
2. The result is then converted back to an analog voltage with the DAC and subtracted with
the original input.
3. The result of the subtraction, known as the residue, is then multiplied by 2 𝑁/2 and input
into the second ADC. The multiplication not only allows the two ADCs to be identical,
but also increases the quantum level of the signal input into the second ADC.
4. The second ADC produces the least significant bits through a Flash conversion.
HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
18
The advantages of this architecture are that the number of comparators is greatly
reduced from that of the Flash converter from 2 𝑁 − 1 comparators to
comparators. −
19. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
19
• Figure below illustrates the two-step nature of the converter. The first
conversion identifies the segment in which the analog voltage resides.
This is also known asa coarse conversion of the MSBs.
• The results of the coarse conversion are then multiplied by 2 𝑁/2 so that the
segment within which 𝑉𝐼𝑁resides will be scaled to the same reference as the
first conversion. The second conversion is known as the fine conversion and
will generate the final LSBs using the same Flash approach.
20. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
20
Example :
Assume that the two-step ADC shown in Fig. 29.26 has four bits of resolution.
Make a table listing the MSBs, Vi' Vz, V3 , and the LSBs for V1N = 2, 4, 9, and 15
V assuming that VREF = 16 V.
Solution :
Since VREF was conveniently made 16 V, each LSB will be 1 V. If V1N =2 V, the
output of the first 2-bit Flash converter will be 00 since VREF = 16 V and each
resistor drops 4 V. The output of the 2-bit DAC, Vi' will therefore be 0,
resulting in Vz =2 V. The multiplication of Vz by the 4 results in V3 =8 V.
Remember that each 2-bit Flash converter resembles that of Fig. 29.21. The
thermometer code from the second Flash converter will be 0011, which results in
10 as the LSBs.
21. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
21
Now how to obtain v1,v2,v3, for this lets refer to the 2 step flash ADC diagram
as shown below. Initially Vin is 2V, after the S/H process the MSB AND LSB is divided as you can see
in the above table. Now to obtain V1 we have to use the flash ADC formula which is Vi= Vref x i/2^n.
here n is 4 for this problem.
00 corresponds to 0 weightage in binary therefore V1 is 0
This V1 (0) is the subtracted with Vin which will be 0-2 =2V
V2 will be multiplied by 2^N/2 here N is 4.. 2x2^4/2=8V
If we take Vin as 9V then MSB is 10 which corresponds to V1=16x8/16=8
Similarly for V15 V1= 16x12/16=12
22. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
22
Accuracy Issues Related to the Two-Step Flash Converters
The overall accuracy of the converter is dependent on the first ADC. The second Flash
must have only the accuracy of a stand-alone Flash converter. This means that if an 8-bit
two-step Flash converter contains two 4-bit Flash converters, the second Flash needs only
to have the resolution of a 4-bit Flash, which is not difficult to achieve.
However, the first 4-bit Flash must have the accuracy of an 8-bit Flash, meaning that the
worst-case INL and DNL for the first bit Flash must be less than ±V2 LSB for an 8-bit
ADC. Thus, the resistor matching and comparators contained in the first ADC must
possess the accuracy of the overall converter. Refer Flash ADC for derivations on INL and
DNL . The DAC must also be accurate to within the resolution of the ADC.
23. HARSHA R, ECE. ANALOG TO DIGITAL
CONVERTER. Dr AIT,BENGALURU
23
Accuracy Issues Related to the Operational Amplifiers
• With the addition of the summer and the amplifier, other sources of accuracy errors are present in this converter.
• The summer and the amplifier must add and amplify the signal to within ±V2 LSB of the ideal value. It is quite
difficult to implement standard operational amplifiers within high-resolution data converters because of these
accuracy requirements.
• The non ideal characteristics of the op-amp are well known and in many cases alone limit the accuracy of the data
converter. In this case, the amplifier is required to multiply the residue signal by some factor of two.
• Although this may not seem difficult at first glance, a closer examination will reveal a dependency on the open-
loop gain. Suppose that the amplifier was being used in a 12-bit, two-step data converter. Remember that in order
for a data converter to be N-bit accurate, the INL and DNL need to be kept below ±V2 LSB and one-half of an
LSB can be defined as
• Since the output of the amplifier gets quantized to 6 bits, the amplifier would need to be 6-bit accurate,
resulting in an accuracy of