Ana vs digi
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This document discusses analog versus digital systems and the digital revolution. It notes that analog values are continuous while digital values are discrete. It gives examples of analog clocks and temperature measurements versus digital clocks. The document then discusses how many devices have been converted from analog to digital, including record albums to CDs, VHS tapes to DVDs, and analog TV to digital TV. Finally, it explains how systems like CD players use both analog and digital components, taking digital data from the CD and converting it to an analog audio signal for playback.
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Analog vs digital
This document discusses analog versus digital systems and the digital revolution. It notes that analog values are continuous while digital values are discrete. It gives examples of analog clocks and temperature measurements versus digital clocks. The document then discusses how many devices have been converted from analog to digital, including record albums to CDs, VHS tapes to DVDs, and analog TV to digital TV. Finally, it briefly explains how CD players work by taking the digital data from the CD and converting it to an analog audio signal for playback through speakers.
Encoding & decoding
Explains basics of digital electronics and basics of communication as well as analog Data,
Digital Data
Analog-to-Digital Conversion Process
Analog-to-digital conversion is an electronic process that converts a continuously variable analog signal into a multi-level digital signal without altering its essential content. It takes a voltage that can theoretically take on an infinite number of values as input and outputs a digital binary code of ones and zeros that computers can understand and process. The conversion process changes an analog signal into computer-readable digital data.
Adc & dac
Analogue signals vary smoothly over time, like sound waves produced by speaking. Computers are digital devices that process data as numbers, so analogue signals must be converted. An analogue to digital converter (ADC) is needed to convert analogue input signals, like from a microphone, into digital data for a computer. A digital to analogue converter (DAC) is required to take digital output from a computer and convert it back into analogue signals for devices like speakers or headphones.
simple ADC Interfacing
Interfacing of ADC is explained in this ppt. Micro controller used here is ATMEGA 16 and language used is embedded C.
Digital to-analog and analog-to-digital converter by Md Nazmul Islam
This document discusses digital-to-analog and analog-to-digital converters. It begins by defining analog and digital signals, with analog being directly measurable quantities and digital having only two states, 0 and 1. It then asks why converters between the two signal types are needed. It proceeds to describe different types of digital-to-analog converters including weighted resistance and R-2R ladder converters. It also covers analog-to-digital converters including successive approximation, single and dual slope integration, and flash converters. In closing, it thanks the reader.
COHEAT @ Rehau workshop March 2017
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Digital vs Analog
The document summarizes a study conducted by students at Johnson & Wales University on how other students at the university record their assignments. The study found that while students bring various technological devices to class, they still prefer using paper planners to record assignments. The study hypothesized that students' preference for analog options over technology designed for scheduling relates to their ability to trust existing scheduling technologies. The study involved surveying both full-time and continuing education students about their behaviors, attitudes, and demographics regarding different scheduling methods. The results found that most students still prefer paper planners, so creating a digital calendar may not be beneficial. The study recommends repeating the survey with different student populations and developing a line of paper agendas to sell.
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Analog vs digital
This document discusses analog versus digital systems and the digital revolution. It notes that analog values are continuous while digital values are discrete. It gives examples of analog clocks and temperature measurements versus digital clocks. The document then discusses how many devices have been converted from analog to digital, including record albums to CDs, VHS tapes to DVDs, and analog TV to digital TV. Finally, it briefly explains how CD players work by taking the digital data from the CD and converting it to an analog audio signal for playback through speakers.
Encoding & decoding
Explains basics of digital electronics and basics of communication as well as analog Data,
Digital Data
Analog-to-Digital Conversion Process
Analog-to-digital conversion is an electronic process that converts a continuously variable analog signal into a multi-level digital signal without altering its essential content. It takes a voltage that can theoretically take on an infinite number of values as input and outputs a digital binary code of ones and zeros that computers can understand and process. The conversion process changes an analog signal into computer-readable digital data.
Adc & dac
Analogue signals vary smoothly over time, like sound waves produced by speaking. Computers are digital devices that process data as numbers, so analogue signals must be converted. An analogue to digital converter (ADC) is needed to convert analogue input signals, like from a microphone, into digital data for a computer. A digital to analogue converter (DAC) is required to take digital output from a computer and convert it back into analogue signals for devices like speakers or headphones.
simple ADC Interfacing
Interfacing of ADC is explained in this ppt. Micro controller used here is ATMEGA 16 and language used is embedded C.
Digital to-analog and analog-to-digital converter by Md Nazmul Islam
This document discusses digital-to-analog and analog-to-digital converters. It begins by defining analog and digital signals, with analog being directly measurable quantities and digital having only two states, 0 and 1. It then asks why converters between the two signal types are needed. It proceeds to describe different types of digital-to-analog converters including weighted resistance and R-2R ladder converters. It also covers analog-to-digital converters including successive approximation, single and dual slope integration, and flash converters. In closing, it thanks the reader.
COHEAT @ Rehau workshop March 2017
This document summarizes a case study of a smart heat network serving 50 homes. It discusses traditional versus smart instrumentation and control approaches. A smart network uses networked components and real-time predictive control to optimize system performance based on occupancy schedules, weather forecasts, and hot water demand. This allows the network to deliver the required heating and hot water while minimizing operating costs and losses.
Digital vs Analog
The document summarizes a study conducted by students at Johnson & Wales University on how other students at the university record their assignments. The study found that while students bring various technological devices to class, they still prefer using paper planners to record assignments. The study hypothesized that students' preference for analog options over technology designed for scheduling relates to their ability to trust existing scheduling technologies. The study involved surveying both full-time and continuing education students about their behaviors, attitudes, and demographics regarding different scheduling methods. The results found that most students still prefer paper planners, so creating a digital calendar may not be beneficial. The study recommends repeating the survey with different student populations and developing a line of paper agendas to sell.
Chapter 1.pptx
This document provides an introduction to digital logic design concepts. It defines analog and digital quantities, explaining that digital systems represent information using discrete binary values of 1s and 0s. The advantages of digital systems are ease of design, accuracy, programmability and reliability. Common digital components like logic gates, flip-flops, and integrated circuits are described. Fundamental logic functions such as arithmetic, comparison, encoding/decoding are also introduced.
IS 151 Lecture 1
This document provides information about a course on digital circuitry, including required materials, assessment details, and contact information for the instructor. It discusses the textbook, simulation software, and additional recommended resources. Coursework will be 40% of the grade and an exam will make up the remaining 60%. Students should contact their class representative for any questions.
ADC & DAC
Simple description about the analog and digital signals
and a description about analog to digital conversion &
digital to analog conversion..............
Analog to Digital Conversion Basics
The document discusses analog to digital conversion. It defines analog and digital signals and explains the conversion process.
1) Analog signals are continuously variable, while digital signals represent information as discrete numbers.
2) An analog-to-digital converter (ADC) samples an analog signal by taking regular snapshots and assigning the closest digital value.
3) A digital-to-analog converter (DAC) reconstructs the analog signal from the digital values for playback. Increasing the sampling rate and precision reduces errors between the original and reconstructed signals.
IS 151 Lecture 1 (2015)
The first lecture for the Digital Circuitry course (IS 151) presented in 2015 at the University of Dar-es-Salaam
IS 151 (2013) Lecture 1
This document provides an overview of the IS 151 Digital Circuitry course, including materials, assessment, and contact information. It discusses the differences between analog and digital quantities, how analog signals can be converted to discrete digital signals through sampling. It also covers binary representation of data, logic levels for representing 1s and 0s, and some example exercises distinguishing analog and digital systems.
Lecture 1 introduction
This document introduces the course COE 202: Digital Logic Design. It discusses the objectives of the course, which include digital systems, digitization of analog signals, and the effect of noise on digital representations. It explains that while the world is analog, digital systems are simpler and more efficient for processing signals. As such, analog signals are converted to digital form using analog-to-digital converters. Computers then represent this digital data using a binary number system of 0s and 1s at distinct voltage levels to improve reliability in the presence of noise.
Signals basics
A signal can be defined as a pattern of variation that carries information over time. Signals can be continuous analog signals defined by mathematical functions, or discrete digital signals represented by discrete samples. Analog signals are more accurate but digital signals are easier to store and analyze. Conversion between analog and digital signals involves sampling the analog signal at discrete time intervals and quantizing the amplitude into discrete levels. Signals can be analyzed in the time domain, looking at amplitude variation over time, or the frequency domain, looking at how many times different events occur over the total observation period.
Computer hardware
This document provides an overview of analog and digital computers and signals. It discusses that analog signals have continuous values while digital signals have discrete values of 0 and 1. Analog computers can perform calculations using components like resistors and capacitors, while digital computers use binary numbers. The document also covers analog to digital conversion and digital to analog conversion, which allow interconversion between analog and digital formats. It provides examples of analog and digital data and signals in different systems.
digital-electronics lecture Ch 1and 2 -1.pptx
The document provides an introduction to digital systems and numerical representations. It discusses:
- Analog vs. digital representations and conversions between them using ADCs and DACs.
- Different number systems including binary, decimal, octal and hexadecimal. Methods to convert between these systems are described.
- Digital electronics uses discrete voltage levels (0V and 5V) to represent binary digits (0 and 1). Timing diagrams show the relationship between digital signals over time.
Encoding and Decoding
Encoding involves converting data into another format for transmission, while decoding is the reverse process. There are two main types of data: analog and digital. Analog data uses continuous physical quantities like voltages, while digital data represents information as digits or numbers. There are four possibilities for encoding and decoding: analog data to analog signal, digital data to analog signal, digital data to digital signal, and analog data to digital signal. Digital signals are represented as a series of 0s and 1s and allow for error correction, while analog signals transmit exact waves that cannot be reconstructed if corrupted.
Adc &dac ppt
An ADC converts an analog signal to a digital signal, while a DAC performs the opposite conversion from digital to analog. ADCs and DACs are needed because signals can be more easily stored and transmitted digitally, but many systems require analog signals. Common uses of DACs include generating audio signals from digital music files. ADCs and DACs allow the analog world to interface with the digital world handled by processors and computers.
Data acquisition system
The document discusses an Instant Fire Detection and Suppression System (IFDSS) that is used indigenously to detect and suppress fires inside tank crews. It describes the IFDSS's detection logic and three-phase process of detecting a fire within 50 ms, applying logic and control, and fully suppressing the fire within 150 ms. It also provides information about data acquisition systems, including their components, processes, block diagrams, signal conditioning, analog inputs, and considerations for designing a data acquisition system.
Digital Technology
Digital technology converts analog signals into binary numeric codes made up of 1s and 0s. It uses bits (binary digits) grouped into bytes to store and transmit digital data. CDs and DVDs store digital data in the form of microscopic pits and bumps on the disc's surface that are read by lasers and interpreted as 1s and 0s. Digital cameras capture light using image sensors composed of photosensitive cells that convert light into electrons and record images as pixel values that are assembled into digital photographs represented as strings of binary code.
Digital Electronic and it application
Digital electronics handles discrete digital signals rather than continuous analog signals. The document discusses the history of digital electronics from vacuum tubes to transistors to integrated circuits. It describes logic gates as basic building blocks and CMOS as the basic building block of today's ICs. Applications of digital electronics include secure data transmission and encryption. The future of digital electronics is promising due to advantages like smaller size, lower power consumption, and ability to add new functions through software.
Identifying and Overcoming Noise in Data Acquisition
Have you ever captured noisy data to your PC, having to then use software to "massage" the data to try and yield useful results?
Join us for this 1-hour, complimentary webcast and learn the basic sources of electrical noise in data-acquisition systems including power line, aliasing, common mode, and quantization noise. You will learn how to easily identify, isolate, and remove these noise sources to ensure measurement data is accurate and reliable.
From these webinar slides, you will learn how to easily identify and isolate these noise sources and the basic steps to remove them. These noise sources include:
Quantization noise
A/D internal noise
Power line noise
Aliasing noise
Common mode noise
Radiated noise (EMI)
Identifying Noise in DAQ
Measuring electrical signals with data acquisition systems is not always as simple as wiring the signal source leads to the measurement equipment. Data integrity is dependent on the transmission of clean electrical signals from the signal source and a reliable DAQ system.
In this 1-hour, complimentary webcast, you will learn the basic sources of electrical noise in data-acquisition systems. You will also learn how to easily identify and isolate this noise sources and the basic steps to remove these noise sources. These noise sources include:
• Quantization noise
• A/D internal noise
• Power line noise
• Aliasing noise
• Common mode noise
• Radiated noise (EMI)
DSP intro 1.pptx
The document discusses digital signal processing (DSP). It begins by defining analog and digital signals, noting that analog signals are continuous while digital signals are discrete. It then outlines the basic components of a DSP system, including an analog-to-digital converter (ADC) to digitize the input signal, a digital signal processor to perform operations on the digital signal, and a digital-to-analog converter (DAC) to reconstruct the analog output signal. Finally, it lists some advantages and limitations of DSP systems compared to analog systems, and provides examples of DSP applications.
lecture 1+2.pdf
This document discusses signal processing and digital signal processing. It defines a signal as something that conveys information, like a person's voice. A system manipulates signals to perform functions. Signal processing converts signals into forms suitable for further processing. Digital signal processing offers advantages like flexibility, accuracy, and lower power consumption compared to analog processing. It has applications in areas like telephones, imaging, filtering, and medical equipment. A typical digital signal processing system involves analog to digital conversion, digital processing, and digital to analog conversion. The Nyquist sampling theorem states that a signal must be sampled at least twice as fast as its highest frequency to perfectly reconstruct it.
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This document provides an introduction to digital logic design concepts. It defines analog and digital quantities, explaining that digital systems represent information using discrete binary values of 1s and 0s. The advantages of digital systems are ease of design, accuracy, programmability and reliability. Common digital components like logic gates, flip-flops, and integrated circuits are described. Fundamental logic functions such as arithmetic, comparison, encoding/decoding are also introduced.
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This document provides information about a course on digital circuitry, including required materials, assessment details, and contact information for the instructor. It discusses the textbook, simulation software, and additional recommended resources. Coursework will be 40% of the grade and an exam will make up the remaining 60%. Students should contact their class representative for any questions.
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and a description about analog to digital conversion &
digital to analog conversion..............
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The document discusses analog to digital conversion. It defines analog and digital signals and explains the conversion process.
1) Analog signals are continuously variable, while digital signals represent information as discrete numbers.
2) An analog-to-digital converter (ADC) samples an analog signal by taking regular snapshots and assigning the closest digital value.
3) A digital-to-analog converter (DAC) reconstructs the analog signal from the digital values for playback. Increasing the sampling rate and precision reduces errors between the original and reconstructed signals.
IS 151 Lecture 1 (2015)
The first lecture for the Digital Circuitry course (IS 151) presented in 2015 at the University of Dar-es-Salaam
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This document provides an overview of the IS 151 Digital Circuitry course, including materials, assessment, and contact information. It discusses the differences between analog and digital quantities, how analog signals can be converted to discrete digital signals through sampling. It also covers binary representation of data, logic levels for representing 1s and 0s, and some example exercises distinguishing analog and digital systems.
Lecture 1 introduction
This document introduces the course COE 202: Digital Logic Design. It discusses the objectives of the course, which include digital systems, digitization of analog signals, and the effect of noise on digital representations. It explains that while the world is analog, digital systems are simpler and more efficient for processing signals. As such, analog signals are converted to digital form using analog-to-digital converters. Computers then represent this digital data using a binary number system of 0s and 1s at distinct voltage levels to improve reliability in the presence of noise.
Signals basics
A signal can be defined as a pattern of variation that carries information over time. Signals can be continuous analog signals defined by mathematical functions, or discrete digital signals represented by discrete samples. Analog signals are more accurate but digital signals are easier to store and analyze. Conversion between analog and digital signals involves sampling the analog signal at discrete time intervals and quantizing the amplitude into discrete levels. Signals can be analyzed in the time domain, looking at amplitude variation over time, or the frequency domain, looking at how many times different events occur over the total observation period.
Computer hardware
This document provides an overview of analog and digital computers and signals. It discusses that analog signals have continuous values while digital signals have discrete values of 0 and 1. Analog computers can perform calculations using components like resistors and capacitors, while digital computers use binary numbers. The document also covers analog to digital conversion and digital to analog conversion, which allow interconversion between analog and digital formats. It provides examples of analog and digital data and signals in different systems.
digital-electronics lecture Ch 1and 2 -1.pptx
The document provides an introduction to digital systems and numerical representations. It discusses:
- Analog vs. digital representations and conversions between them using ADCs and DACs.
- Different number systems including binary, decimal, octal and hexadecimal. Methods to convert between these systems are described.
- Digital electronics uses discrete voltage levels (0V and 5V) to represent binary digits (0 and 1). Timing diagrams show the relationship between digital signals over time.
Encoding and Decoding
Encoding involves converting data into another format for transmission, while decoding is the reverse process. There are two main types of data: analog and digital. Analog data uses continuous physical quantities like voltages, while digital data represents information as digits or numbers. There are four possibilities for encoding and decoding: analog data to analog signal, digital data to analog signal, digital data to digital signal, and analog data to digital signal. Digital signals are represented as a series of 0s and 1s and allow for error correction, while analog signals transmit exact waves that cannot be reconstructed if corrupted.
Adc &dac ppt
An ADC converts an analog signal to a digital signal, while a DAC performs the opposite conversion from digital to analog. ADCs and DACs are needed because signals can be more easily stored and transmitted digitally, but many systems require analog signals. Common uses of DACs include generating audio signals from digital music files. ADCs and DACs allow the analog world to interface with the digital world handled by processors and computers.
Data acquisition system
The document discusses an Instant Fire Detection and Suppression System (IFDSS) that is used indigenously to detect and suppress fires inside tank crews. It describes the IFDSS's detection logic and three-phase process of detecting a fire within 50 ms, applying logic and control, and fully suppressing the fire within 150 ms. It also provides information about data acquisition systems, including their components, processes, block diagrams, signal conditioning, analog inputs, and considerations for designing a data acquisition system.
Digital Technology
Digital technology converts analog signals into binary numeric codes made up of 1s and 0s. It uses bits (binary digits) grouped into bytes to store and transmit digital data. CDs and DVDs store digital data in the form of microscopic pits and bumps on the disc's surface that are read by lasers and interpreted as 1s and 0s. Digital cameras capture light using image sensors composed of photosensitive cells that convert light into electrons and record images as pixel values that are assembled into digital photographs represented as strings of binary code.
Digital Electronic and it application
Digital electronics handles discrete digital signals rather than continuous analog signals. The document discusses the history of digital electronics from vacuum tubes to transistors to integrated circuits. It describes logic gates as basic building blocks and CMOS as the basic building block of today's ICs. Applications of digital electronics include secure data transmission and encryption. The future of digital electronics is promising due to advantages like smaller size, lower power consumption, and ability to add new functions through software.
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Have you ever captured noisy data to your PC, having to then use software to "massage" the data to try and yield useful results?
Join us for this 1-hour, complimentary webcast and learn the basic sources of electrical noise in data-acquisition systems including power line, aliasing, common mode, and quantization noise. You will learn how to easily identify, isolate, and remove these noise sources to ensure measurement data is accurate and reliable.
From these webinar slides, you will learn how to easily identify and isolate these noise sources and the basic steps to remove them. These noise sources include:
Quantization noise
A/D internal noise
Power line noise
Aliasing noise
Common mode noise
Radiated noise (EMI)
Identifying Noise in DAQ
Measuring electrical signals with data acquisition systems is not always as simple as wiring the signal source leads to the measurement equipment. Data integrity is dependent on the transmission of clean electrical signals from the signal source and a reliable DAQ system.
In this 1-hour, complimentary webcast, you will learn the basic sources of electrical noise in data-acquisition systems. You will also learn how to easily identify and isolate this noise sources and the basic steps to remove these noise sources. These noise sources include:
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• Radiated noise (EMI)
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This document discusses signal processing and digital signal processing. It defines a signal as something that conveys information, like a person's voice. A system manipulates signals to perform functions. Signal processing converts signals into forms suitable for further processing. Digital signal processing offers advantages like flexibility, accuracy, and lower power consumption compared to analog processing. It has applications in areas like telephones, imaging, filtering, and medical equipment. A typical digital signal processing system involves analog to digital conversion, digital processing, and digital to analog conversion. The Nyquist sampling theorem states that a signal must be sampled at least twice as fast as its highest frequency to perfectly reconstruct it.
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Chapter 2
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Chapter 3
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Ana vs digi
- 1. EEE - 311 Digital Electronics MD.NAHID SARKER ID : 131-33-1283
- 3. Analog versus Digital Analog = continuous Digital = discrete Example: • An analog clock, whose hands move smoothly and continuously. • A digital clock, whose digits jump from one value to the next.
- 4. 1 100 A . M . 95 90 85 80 75 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 5 6 7 8 9 10 11 12 P. M . Temperature (°F) 70 Time of day Most natural quantities (such as temperature, pressure, light intensity, …) are analog quantities that vary continuously. Digital systems can process, store, and transmit data more efficiently but can only assign discrete values to each point
- 5. The Digital Revolution Recently, many types of devices have been converted from analog to digital. Example: In all of these digital devices, info is stored and transmitted as long strings of 1s and 0s. Analog Digital Record album CD VHS tape DVD Analog television Digital TV
- 6. Digital data CD drive 10110011101 Analog reproduction of music audio signal Speaker Sound waves Digital-to-analog converter Linear amplifier Many systems use a mix of analog and digital electronics to take advantage of each technology. A typical CD player accepts digital data from the CD drive and converts it to an analog signal for amplification
- 7. THANK YOU For Listening My PRESENTATION