1) The document discusses using frequency response techniques to design cascade compensators to improve steady-state error, transient response, or both.
2) It provides procedures for using lag compensation to improve steady-state error and lead compensation to improve transient response by increasing phase margin.
3) The last section notes that lag-lead compensation can be used to first improve steady-state error with lag compensation, and then meet a phase margin specification with lead compensation.
1) The document discusses modeling systems using state-space representations, which can represent nonlinear, time-varying systems using matrices of state variables, equations, and inputs/outputs.
2) Key aspects of state-space models are selecting state variables, writing the system as first-order differential equations of the states, and relating states to inputs and outputs with matrix equations.
3) Examples show how to develop state-space models from electrical networks and mechanical systems by selecting energy-storage elements or positions/velocities as states.
The document discusses time response analysis of control systems using poles and zeros. It describes how to determine the natural and forced responses of first and second order systems from their transfer functions. For second order systems, it explains the different response types based on the damping ratio and discusses how to calculate key response parameters like rise time and overshoot percentage. It also addresses approximating higher order systems and the effects of additional poles and zeros on system response.
The document discusses root locus techniques, which provide a graphical representation of how the closed-loop poles of a system change with variations in system parameters like gain. It covers how to sketch root loci based on properties like starting/ending points and asymptotes. Design techniques are presented for using the root locus to meet transient response specifications by selecting gain values that place pole locations for good damping. Higher-order systems can be approximated as second-order to design gain for desired overshoot, settling time, etc.
The document discusses modeling systems using transfer functions in the frequency domain. It provides an overview of the Laplace transform and how it can be used to derive a transfer function from a system's differential equation. Specifically, it reviews properties of the Laplace transform like tables, theorems and the partial fraction expansion technique. It also discusses how to find the transfer function of a general linear time-invariant system represented by a differential equation. The transfer function is defined as the ratio of the Laplace transform of the output to the Laplace transform of the input.
The document discusses stability analysis and steady-state error analysis for control systems. It defines stability for linear time-invariant systems using natural response and bounded-input bounded-output. It describes how to determine stability using the Routh-Hurwitz criterion, eigenvalues of the system matrix, and pole locations. It also discusses how to evaluate and find sources of steady-state error, and steady-state error for unity feedback systems and non-unity feedback systems.
The document discusses several methods for representing and analyzing systems composed of multiple subsystems, including:
1) Reducing block diagrams of cascaded and parallel subsystems into a single transfer function.
2) Representing feedback systems using open-loop transfer functions and loop gains.
3) Converting between state-space and signal-flow graph representations.
4) Expressing systems in different state-space forms like phase variable, cascade, and parallel forms.
The document discusses several key concepts in state space control system design including:
1) Pole placement controller design using state feedback to meet transient response specifications.
2) Observer design for systems where not all states are measurable to estimate unmeasured states.
3) Techniques for designing steady-state error characteristics using state space representations.
Frequency response techniques allow analysis of systems in the frequency domain. Key applications include modeling transfer functions from data, designing compensators, analyzing stability, and investigating transient and steady-state response. Frequency response is obtained by plotting the magnitude and phase of a system's transfer function evaluated at various frequencies. Bode plots provide asymptotic approximations of frequency response on logarithmic scales and are useful for analysis and design.
1) The document discusses modeling systems using state-space representations, which can represent nonlinear, time-varying systems using matrices of state variables, equations, and inputs/outputs.
2) Key aspects of state-space models are selecting state variables, writing the system as first-order differential equations of the states, and relating states to inputs and outputs with matrix equations.
3) Examples show how to develop state-space models from electrical networks and mechanical systems by selecting energy-storage elements or positions/velocities as states.
The document discusses time response analysis of control systems using poles and zeros. It describes how to determine the natural and forced responses of first and second order systems from their transfer functions. For second order systems, it explains the different response types based on the damping ratio and discusses how to calculate key response parameters like rise time and overshoot percentage. It also addresses approximating higher order systems and the effects of additional poles and zeros on system response.
The document discusses root locus techniques, which provide a graphical representation of how the closed-loop poles of a system change with variations in system parameters like gain. It covers how to sketch root loci based on properties like starting/ending points and asymptotes. Design techniques are presented for using the root locus to meet transient response specifications by selecting gain values that place pole locations for good damping. Higher-order systems can be approximated as second-order to design gain for desired overshoot, settling time, etc.
The document discusses modeling systems using transfer functions in the frequency domain. It provides an overview of the Laplace transform and how it can be used to derive a transfer function from a system's differential equation. Specifically, it reviews properties of the Laplace transform like tables, theorems and the partial fraction expansion technique. It also discusses how to find the transfer function of a general linear time-invariant system represented by a differential equation. The transfer function is defined as the ratio of the Laplace transform of the output to the Laplace transform of the input.
The document discusses stability analysis and steady-state error analysis for control systems. It defines stability for linear time-invariant systems using natural response and bounded-input bounded-output. It describes how to determine stability using the Routh-Hurwitz criterion, eigenvalues of the system matrix, and pole locations. It also discusses how to evaluate and find sources of steady-state error, and steady-state error for unity feedback systems and non-unity feedback systems.
The document discusses several methods for representing and analyzing systems composed of multiple subsystems, including:
1) Reducing block diagrams of cascaded and parallel subsystems into a single transfer function.
2) Representing feedback systems using open-loop transfer functions and loop gains.
3) Converting between state-space and signal-flow graph representations.
4) Expressing systems in different state-space forms like phase variable, cascade, and parallel forms.
The document discusses several key concepts in state space control system design including:
1) Pole placement controller design using state feedback to meet transient response specifications.
2) Observer design for systems where not all states are measurable to estimate unmeasured states.
3) Techniques for designing steady-state error characteristics using state space representations.
Frequency response techniques allow analysis of systems in the frequency domain. Key applications include modeling transfer functions from data, designing compensators, analyzing stability, and investigating transient and steady-state response. Frequency response is obtained by plotting the magnitude and phase of a system's transfer function evaluated at various frequencies. Bode plots provide asymptotic approximations of frequency response on logarithmic scales and are useful for analysis and design.
The document discusses various techniques for improving transient response and steady-state error in control systems using root locus analysis and cascade compensation. It describes using derivative, integral, lead, and lag compensators individually or together in PID or lag-lead configurations to meet both transient and steady-state specifications. Design procedures are provided and examples given of applying these methods to solve problems of compensating systems to achieve certain performance criteria.
The document describes an ELEC3114 control systems course. It provides information on the course convener, contact hours, assessment, and textbook. The course consists of lectures, tutorials, and laboratories. It covers topics such as modeling, time response, stability, and design techniques. Students will be assessed based on a final exam, lab test, and quizzes. The prescribed textbook is Control Systems Engineering by Norman Nise.
1) The document describes digital signal detection techniques at the receiver of a digital communication system.
2) It discusses the maximum a posteriori probability (MAP) and maximum likelihood (ML) detection criteria. The ML criterion reduces to choosing the signal that minimizes the Euclidean distance between the received signal vector and possible transmitted signals.
3) Detection errors occur when the received signal, distorted by noise, falls inside the decision region of another signal. The probability of error depends on the noise distribution around the actual transmitted signal.
This document discusses an integrate-and-dump detector used in digital communications. It describes the operation of the integrate-and-dump detector, showing how it integrates the received signal plus noise over each symbol interval. The output of the integrator is used to detect whether a 1 or 0 was transmitted. An expression is derived for the probability of detection error in terms of the signal amplitude, noise power spectral density, and symbol interval. An example is also provided to calculate the error probability for a given binary signaling scheme and system parameters.
The document provides an overview of digital passband modulation techniques. It discusses binary modulation schemes including amplitude-shift keying (ASK), frequency-shift keying (FSK), and phase-shift keying (BPSK). It also covers differential phase-shift keying (DPSK), which removes phase ambiguity in BPSK using differential encoding and decoding. Key aspects like signal representation, spectrum, and detection methods are described for each technique.
1. This document discusses M-ary modulation techniques, which allow more than two amplitude, phase, or frequency levels to transmit more bits per symbol. This increases transmission rate or reduces bandwidth compared to binary modulation.
2. M-ary modulation techniques discussed include M-ASK, M-PSK, M-FSK, and M-QAM. M-ASK maps k bits to one of M amplitude levels. M-PSK maps k bits to one of M phase shifts of the carrier. M-QAM combines M-ASK with quadrature carriers to modulate both amplitude and phase.
3. Higher order modulation like M-QAM can significantly increase transmission rate but requires more transmission power and complex
Solution includes design of systems architectures and mechanical and electrical installations, instrumentation of the integrated systems, and certification for ground and flight tests. visit for more info @ http://www.qinetiq.com/services-products/air/Pages/aircraft-system-integration-and-upgrades.aspx
QinetiQ solution includes design of systems architectures and mechanical and electrical installations, instrumentation of the integrated systems, and certification for ground and flight tests.
This document discusses problems involving modulation techniques and signal detection. Problem 1 asks to sketch modulated waves for 8-ary ASK, 4-ary PSK, and 4-ary FSK modulation of a binary sequence. Problem 2 provides a formula for probability of error for 4-ary PAM and asks to calculate average power. Problem 3 does similarly for 4-ary QAM. Problem 4 describes a binary system with an integrate-and-dump detector and asks to analyze the detector and find minimum error probability.
RF Basics & Getting Started Guide by AnarenAnaren, Inc.
This document provides an overview of parameters and considerations for selecting a low-power wireless solution. It highlights products from Anaren's Integrated Radio module line, including how they fit into a typical low-power design. Development tools and evaluation modules are also discussed. Stack considerations cover aspects like application and protocol design freedom across various standards.
This document provides definitions and explanations of basic electronics concepts. It discusses conductors, semiconductors, and insulators. It also defines the atom as the basic unit of matter, and describes the parts of an atom including protons, neutrons, electrons, and quarks. Additional concepts covered include voltage, current, direct and alternating current, resistors, diodes, transistors, capacitors, transformers, inductors, LEDs, solar cells, switches, magnetic flux, and logic gates. Boolean equations are also introduced.
Maui EMC Presents: An Electical Engineers Guide to EMC/EMI. This show helps with some basic concepts of Electromagnetic Compliance and Interference. This is a great starting point for engineers looking for some basic definitions about EMC/EMI.
This document summarizes basic RF concepts including decibels, antenna gain, free-space propagation, RF attenuation, noise, and signal-to-noise ratio. It explains that decibels measure power ratios on a logarithmic scale and are commonly used in wireless networking. Free-space propagation and RF attenuation cause signals to decrease in strength over distance due to factors like materials and frequency. Noise comes from thermal and receiver sources and establishes a noise floor. Signal-to-noise ratio compares signal strength to noise to determine reliable reception.
Overview Of Unmanned Aircraft Systems (UAS)Mark Lewellen
The document provides an overview of unmanned aircraft systems (UAS), including their history and evolution from remote piloted vehicles (RPV) to unmanned aerial vehicles (UAV) to today's unmanned aircraft systems (UAS). It describes various UAS including the Raven, Shadow, Predator, and Global Hawk and discusses their missions, features, and technical specifications. It also discusses spectrum needs and challenges for integrating UAS into national airspace, including the need for protected aeronautical frequency allocations to ensure their safe operation.
USB 3.0 provides faster data transfer speeds of up to 5Gbps compared to USB 2.0's maximum of 480Mbps. It allows for quicker transfer of large files such as videos and storage drives. While retaining backward compatibility, USB 3.0's increased bandwidth and power delivery enables uses like high-definition video transfer and faster charging of mobile devices. The new standard aims to support emerging applications requiring high-speed data access and transmission.
This document provides an overview of satellite communication and satellite systems. It discusses different types of transmission systems including radio, coaxial cable, and optical fiber systems. It describes how radio systems use electromagnetic waves to transmit signals and the portions of the frequency spectrum used. The document outlines the layers of the atmosphere and how the ionosphere and troposphere can propagate radio waves. It also categorizes different types of radio communication including ionosphere communication, line of sight microwave communication, and troposphere scatter communication. The document discusses advantages of satellite communication and components of a satellite communication network including the space and ground segments. It covers topics like satellite orbits, frequency bands used, and multiple access techniques in satellite systems.
This document presents the Improved Cepstra Minimum-Mean-Square-Error (ICMMSE) noise reduction algorithm for robust speech recognition. ICMMSE improves on the previous CMMSE algorithm in several ways: it uses an improved minimum controlled recursive averaging algorithm to estimate speech probability more accurately, refines prior signal-to-noise ratio estimation, applies gain smoothing or optimally-modified log-spectral amplitude processing to modify the gain function, and performs two-stage noise reduction processing. Experiments on the Aurora 2, CHiME-3, and Cortana tasks show ICMMSE consistently outperforms CMMSE and baseline systems, achieving relative word error rate reductions of up to 25%.
An MRI quality assurance program includes several facets to ensure high quality images and appropriate clinical results. This includes quality control tests to detect equipment issues, a quality assurance committee to oversee the program, and tests of spatial resolution, low contrast detectability, slice thickness accuracy, and other parameters. Regular phantom scans and testing of center frequency, transmitter gain, and image uniformity allow issues to be identified before affecting patients. The program seeks to produce necessary and safe exams while minimizing risk and cost.
This document discusses optimizing parameters for watermarking in the discrete wavelet transform (DWT) domain. It examines choosing the optimal wavelet type, frequency sub-band, embedding strength, embedding equation, and decomposition level. Experiments test embedding watermarks under various parameters and measure robustness and imperceptibility. The optimal parameters are found to be the diagonal sub-band, strength of 0.8, the second proposed embedding equation, and the first decomposition level, which introduces the fewest distortions while maintaining robustness. In conclusion, optimizing these parameters guarantees a robust and imperceptible watermarking algorithm in the DWT domain.
MRI image quality is affected by several factors including signal-to-noise ratio, receive bandwidth, noise sources, and spatial resolution. A higher signal-to-noise ratio provides better image quality. Receive bandwidth determines the range of frequencies received and affects chemical shift artifact and readout time. Noise in MRI comes from electronic noise and fluctuations in body tissues. Spatial resolution is influenced by receive bandwidth, matrix size, slice thickness, and field of view. Contrast resolution depends on tissue T1 and T2 values and the timing of pulse sequences. Motion contrast methods like diffusion weighting and flow weighting provide additional tissue information.
The document is the outline for Hakim Alhussien's PhD final oral examination on April 6, 2009. It discusses channel matched iterative decoding for magnetic recording systems. The outline covers perpendicular magnetic recording channels, error correcting codes for recording channels, error pattern correction coding and its enhancements, tensor product parity codes, and EPC-LDPC tensor product codes. It also discusses Hakim's thesis contributions.
The document discusses various techniques for improving transient response and steady-state error in control systems using root locus analysis and cascade compensation. It describes using derivative, integral, lead, and lag compensators individually or together in PID or lag-lead configurations to meet both transient and steady-state specifications. Design procedures are provided and examples given of applying these methods to solve problems of compensating systems to achieve certain performance criteria.
The document describes an ELEC3114 control systems course. It provides information on the course convener, contact hours, assessment, and textbook. The course consists of lectures, tutorials, and laboratories. It covers topics such as modeling, time response, stability, and design techniques. Students will be assessed based on a final exam, lab test, and quizzes. The prescribed textbook is Control Systems Engineering by Norman Nise.
1) The document describes digital signal detection techniques at the receiver of a digital communication system.
2) It discusses the maximum a posteriori probability (MAP) and maximum likelihood (ML) detection criteria. The ML criterion reduces to choosing the signal that minimizes the Euclidean distance between the received signal vector and possible transmitted signals.
3) Detection errors occur when the received signal, distorted by noise, falls inside the decision region of another signal. The probability of error depends on the noise distribution around the actual transmitted signal.
This document discusses an integrate-and-dump detector used in digital communications. It describes the operation of the integrate-and-dump detector, showing how it integrates the received signal plus noise over each symbol interval. The output of the integrator is used to detect whether a 1 or 0 was transmitted. An expression is derived for the probability of detection error in terms of the signal amplitude, noise power spectral density, and symbol interval. An example is also provided to calculate the error probability for a given binary signaling scheme and system parameters.
The document provides an overview of digital passband modulation techniques. It discusses binary modulation schemes including amplitude-shift keying (ASK), frequency-shift keying (FSK), and phase-shift keying (BPSK). It also covers differential phase-shift keying (DPSK), which removes phase ambiguity in BPSK using differential encoding and decoding. Key aspects like signal representation, spectrum, and detection methods are described for each technique.
1. This document discusses M-ary modulation techniques, which allow more than two amplitude, phase, or frequency levels to transmit more bits per symbol. This increases transmission rate or reduces bandwidth compared to binary modulation.
2. M-ary modulation techniques discussed include M-ASK, M-PSK, M-FSK, and M-QAM. M-ASK maps k bits to one of M amplitude levels. M-PSK maps k bits to one of M phase shifts of the carrier. M-QAM combines M-ASK with quadrature carriers to modulate both amplitude and phase.
3. Higher order modulation like M-QAM can significantly increase transmission rate but requires more transmission power and complex
Solution includes design of systems architectures and mechanical and electrical installations, instrumentation of the integrated systems, and certification for ground and flight tests. visit for more info @ http://www.qinetiq.com/services-products/air/Pages/aircraft-system-integration-and-upgrades.aspx
QinetiQ solution includes design of systems architectures and mechanical and electrical installations, instrumentation of the integrated systems, and certification for ground and flight tests.
This document discusses problems involving modulation techniques and signal detection. Problem 1 asks to sketch modulated waves for 8-ary ASK, 4-ary PSK, and 4-ary FSK modulation of a binary sequence. Problem 2 provides a formula for probability of error for 4-ary PAM and asks to calculate average power. Problem 3 does similarly for 4-ary QAM. Problem 4 describes a binary system with an integrate-and-dump detector and asks to analyze the detector and find minimum error probability.
RF Basics & Getting Started Guide by AnarenAnaren, Inc.
This document provides an overview of parameters and considerations for selecting a low-power wireless solution. It highlights products from Anaren's Integrated Radio module line, including how they fit into a typical low-power design. Development tools and evaluation modules are also discussed. Stack considerations cover aspects like application and protocol design freedom across various standards.
This document provides definitions and explanations of basic electronics concepts. It discusses conductors, semiconductors, and insulators. It also defines the atom as the basic unit of matter, and describes the parts of an atom including protons, neutrons, electrons, and quarks. Additional concepts covered include voltage, current, direct and alternating current, resistors, diodes, transistors, capacitors, transformers, inductors, LEDs, solar cells, switches, magnetic flux, and logic gates. Boolean equations are also introduced.
Maui EMC Presents: An Electical Engineers Guide to EMC/EMI. This show helps with some basic concepts of Electromagnetic Compliance and Interference. This is a great starting point for engineers looking for some basic definitions about EMC/EMI.
This document summarizes basic RF concepts including decibels, antenna gain, free-space propagation, RF attenuation, noise, and signal-to-noise ratio. It explains that decibels measure power ratios on a logarithmic scale and are commonly used in wireless networking. Free-space propagation and RF attenuation cause signals to decrease in strength over distance due to factors like materials and frequency. Noise comes from thermal and receiver sources and establishes a noise floor. Signal-to-noise ratio compares signal strength to noise to determine reliable reception.
Overview Of Unmanned Aircraft Systems (UAS)Mark Lewellen
The document provides an overview of unmanned aircraft systems (UAS), including their history and evolution from remote piloted vehicles (RPV) to unmanned aerial vehicles (UAV) to today's unmanned aircraft systems (UAS). It describes various UAS including the Raven, Shadow, Predator, and Global Hawk and discusses their missions, features, and technical specifications. It also discusses spectrum needs and challenges for integrating UAS into national airspace, including the need for protected aeronautical frequency allocations to ensure their safe operation.
USB 3.0 provides faster data transfer speeds of up to 5Gbps compared to USB 2.0's maximum of 480Mbps. It allows for quicker transfer of large files such as videos and storage drives. While retaining backward compatibility, USB 3.0's increased bandwidth and power delivery enables uses like high-definition video transfer and faster charging of mobile devices. The new standard aims to support emerging applications requiring high-speed data access and transmission.
This document provides an overview of satellite communication and satellite systems. It discusses different types of transmission systems including radio, coaxial cable, and optical fiber systems. It describes how radio systems use electromagnetic waves to transmit signals and the portions of the frequency spectrum used. The document outlines the layers of the atmosphere and how the ionosphere and troposphere can propagate radio waves. It also categorizes different types of radio communication including ionosphere communication, line of sight microwave communication, and troposphere scatter communication. The document discusses advantages of satellite communication and components of a satellite communication network including the space and ground segments. It covers topics like satellite orbits, frequency bands used, and multiple access techniques in satellite systems.
This document presents the Improved Cepstra Minimum-Mean-Square-Error (ICMMSE) noise reduction algorithm for robust speech recognition. ICMMSE improves on the previous CMMSE algorithm in several ways: it uses an improved minimum controlled recursive averaging algorithm to estimate speech probability more accurately, refines prior signal-to-noise ratio estimation, applies gain smoothing or optimally-modified log-spectral amplitude processing to modify the gain function, and performs two-stage noise reduction processing. Experiments on the Aurora 2, CHiME-3, and Cortana tasks show ICMMSE consistently outperforms CMMSE and baseline systems, achieving relative word error rate reductions of up to 25%.
An MRI quality assurance program includes several facets to ensure high quality images and appropriate clinical results. This includes quality control tests to detect equipment issues, a quality assurance committee to oversee the program, and tests of spatial resolution, low contrast detectability, slice thickness accuracy, and other parameters. Regular phantom scans and testing of center frequency, transmitter gain, and image uniformity allow issues to be identified before affecting patients. The program seeks to produce necessary and safe exams while minimizing risk and cost.
This document discusses optimizing parameters for watermarking in the discrete wavelet transform (DWT) domain. It examines choosing the optimal wavelet type, frequency sub-band, embedding strength, embedding equation, and decomposition level. Experiments test embedding watermarks under various parameters and measure robustness and imperceptibility. The optimal parameters are found to be the diagonal sub-band, strength of 0.8, the second proposed embedding equation, and the first decomposition level, which introduces the fewest distortions while maintaining robustness. In conclusion, optimizing these parameters guarantees a robust and imperceptible watermarking algorithm in the DWT domain.
MRI image quality is affected by several factors including signal-to-noise ratio, receive bandwidth, noise sources, and spatial resolution. A higher signal-to-noise ratio provides better image quality. Receive bandwidth determines the range of frequencies received and affects chemical shift artifact and readout time. Noise in MRI comes from electronic noise and fluctuations in body tissues. Spatial resolution is influenced by receive bandwidth, matrix size, slice thickness, and field of view. Contrast resolution depends on tissue T1 and T2 values and the timing of pulse sequences. Motion contrast methods like diffusion weighting and flow weighting provide additional tissue information.
The document is the outline for Hakim Alhussien's PhD final oral examination on April 6, 2009. It discusses channel matched iterative decoding for magnetic recording systems. The outline covers perpendicular magnetic recording channels, error correcting codes for recording channels, error pattern correction coding and its enhancements, tensor product parity codes, and EPC-LDPC tensor product codes. It also discusses Hakim's thesis contributions.
Introduction to adaptive filtering and its applications.pptdebeshidutta2
This document discusses linear filters and adaptive filters. It provides an overview of key concepts such as:
- Linear filters have outputs that are linear functions of their inputs, while adaptive filters can adjust their parameters over time based on the input signals.
- The Wiener filter and LMS algorithm are introduced as approaches for optimal and adaptive filter design, with the LMS algorithm minimizing the mean square error using gradient descent.
- Applications of adaptive filters include system identification, inverse modeling, prediction, and interference cancellation. An example of acoustic echo cancellation is described.
- The document outlines the LMS adaptive algorithm steps and discusses its stability and convergence properties. It also summarizes different equalization techniques for mitigating inter
ANALYSIS OF ADAPTIVE FILTER AND ICA FOR NOISECANCELLATION FROM A VIDEO FRAMENexgen Technology
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NEXGEN TECHNOLOGY provides total software solutions to its customers. Apsys works closely with the customers to identify their business processes for computerization and help them implement state-of-the-art solutions. By identifying and enhancing their processes through information technology solutions. NEXGEN TECHNOLOGY help it customers optimally use their resources.
Md Mushfiqul Alam: Biological, NeuralNet Approaches to Recognition, Gain Cont...devashishsarkar
Mushfiq recently finished his PhD in Electrical and Computer Engineering from Oklahoma State University. In this video, he presents: (1) A database (the largest of its kind) created by a well-controlled psychophysical study using natural scenes, (2) How the most advanced biologically plausible model of V1 and a trained convolutional-neural-network fails to capture the recognition factors, and (3) How a computational approach can be adopted to integrate the recognition into the V1 responses. He also discusses and shows how such a model can be integrated to have a better video compression algorithm.
Carrier to Noise Versus Signal to Noise.pptAbdulMaalik17
The document discusses the differences between carrier-to-noise ratio (CNR) and signal-to-noise ratio (SNR). CNR is generally a pre-detection measurement made at RF, measuring the power of a carrier signal relative to noise in a specified bandwidth. SNR is usually a post-detection measurement made on a baseband signal, measuring the power of the signal relative to noise within that signal. For digital cable systems, modulation error ratio (MER) and error vector magnitude (EVM) provide better metrics than SNR for characterizing modulation quality and estimating bit error rate.
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
www.erpublication.org
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Deep Learning Based Voice Activity Detection and Speech EnhancementNAVER Engineering
The document summarizes speech recognition front-end technologies including voice activity detection (VAD) and speech enhancement. It discusses conventional signal processing based approaches and more recent deep learning based methods. For VAD, it describes adaptive context attention models that can dynamically adjust the context used based on noise type and SNR. For speech enhancement, it proposes a two-step neural network approach consisting of a prior network that makes multiple predictions from noisy features and a post network that combines these using a boosting method to produce enhanced features, allowing end-to-end training without an explicit masking step. The approach aims to better exploit neural network modeling power while reducing computation cost compared to conventional methods or single-step deep learning frameworks.
the generation of panning laws for irregular speaker arrays using heuristic m...Bruce Wiggins
A presentation made at the 31st International AES conference in 2007 on the generation of higher order Ambisonic decoders for the irregular, 5 speaker, ITU speaker arrangement.
Good overview of Digital Holographic Microscope showing why it is the premier instrument for studying MEMS and MOEMS. Nothing else comes close to its capabilities.
Contact NanoAndMore USA, Inc., exclusive distributor for USA. usa@nanoandmore.com
This document describes research on noise robust speech recognition when data is missing or uncertain. It presents four main approaches:
1) Feature compensation based on stereo data, which uses clean and noisy recordings to derive transformations for enhancing noisy speech features.
2) Feature compensation based on a masking model, which uses parametric models of speech degradation to estimate clean speech features.
3) Temporal modelling and uncertainty decoding, which incorporates temporal information and models feature uncertainty.
4) Experimental results show that the proposed feature compensation techniques based on vector quantization MMSE estimation outperform baseline methods, with whitening-transformation based methods working best.
This document contains 4 problems related to digital and analog communications techniques:
1) It describes Delta Modulation and how it works to encode analog signals, including issues with slope overload. It also introduces Adaptive Delta Modulation as an improvement.
2) It compares Differential Pulse Code Modulation to standard Pulse Code Modulation.
3) It provides exercises on encoding a binary sequence using BPSK, DPSK, and 4-ary ASK modulation. It also covers removing phase ambiguity in DPSK.
4) It presents a problem on time division multiplexing analog and digital sources at different data rates.
The document discusses problems related to analogue and digital communications. It contains 5 problems:
1) Drawing the spectrum of a message signal sampled at different rates and specifying the cutoff frequency to fully recover the original signal from its sampled version.
2) Sketching the resulting pulse code modulation (PCM) wave for one cycle of an input signal that is quantized using a 4-bit binary system.
3) Determining the number of quantizing levels, quantizer step size, average quantizing noise power, and output signal-to-noise ratio for a sinusoidal modulating wave quantized using an n-bit code word.
4) Finding the Nyquist sampling rate for two signals.
This document provides a tutorial on analogue and digital communications. It contains 5 questions about Fourier transforms and frequency domain analysis of signals. Question 1 asks about the Fourier transform and spectra of a continuous time signal. Question 2 finds the Fourier transform and spectra of another signal. Question 3 analyzes a signal composed of two sinusoidal components. Questions 4 and 5 determine the Fourier transforms of rectangular and truncated sinusoidal signals.
This document contains two questions about FM signals and phase-locked loops (PLL). Question 1 asks about the instantaneous frequency, modulation index, effective bandwidth using Carson's rule and universal rule, and Fourier transform of an FM signal. Question 2 provides a block diagram of a PLL and asks the student to show equations for the voltage controlled oscillator output, input to the VCO, and how the PLL locks into the input signal's phase. It also asks how the input to the VCO would be related to the message signal for an FM input.
1) The document discusses different modulation techniques including AM, DSB-SC, SSB, and VSB.
2) It provides examples of carrier and message signals for AM and DSB-SC modulation. Equations for the modulated signals and corresponding spectra are given.
3) Questions are asked about modulation index, bandwidth requirements, power efficiency for AM, and the block diagram and output for coherent detection of DSB-SC.
This document discusses quantization in analog-to-digital conversion. It describes how an analog signal is sampled, quantized by representing samples with discrete levels, and encoded into a digital signal. Quantization introduces noise that can be reduced by using more quantization levels or a smaller step size between levels. Non-uniform quantization allocates more levels to signal amplitudes that occur more frequently to improve efficiency compared to uniform quantization.
This document discusses multiplexing techniques used in communications systems. It describes frequency division multiplexing (FDM), time division multiplexing (TDM), and digital multiplexing used for digital telephone systems. FDM combines signals by assigning each a unique portion of the frequency spectrum. TDM combines signals by assigning each a unique time slot within a repeating time frame. Digital telephone systems use TDM to combine 24 digitized voice channels into a 193-bit frame transmitted every 125 microseconds.
This document discusses pulse code modulation (PCM) for analog to digital conversion. PCM involves sampling an analog signal, quantizing the sample values, and encoding the quantized levels into binary codes. The sampling rate must be at least twice the bandwidth of the analog signal. More bits per code provide higher quality but require more bandwidth. PCM is used in telephone systems with 8-bit coding at 8 kHz sampling, and in compact discs with 16-bit coding at 44.1 kHz sampling.
This document discusses delta modulation and adaptive delta modulation techniques for analogue to digital conversion.
Delta modulation encodes the difference between the input signal and a reference signal into a single bit per sample, creating a staircase-like approximation of the original signal. Adaptive delta modulation varies the step size according to the input signal level to prevent slope overload. Differential pulse code modulation encodes the difference between the current and predicted sample values, sending this difference value instead of absolute sample amplitudes.
This document discusses quantization in analog-to-digital conversion. It describes how an analog signal is sampled, quantized by representing samples with discrete levels, and encoded into a digital signal. Quantization introduces noise that can be reduced by using more quantization levels or a smaller step size between levels. Non-uniform quantization allocates more levels to signal amplitudes that occur more frequently to more efficiently represent the signal.
This document discusses quantization in analog-to-digital conversion. It describes how an analog signal is sampled, quantized by representing samples with discrete levels, and encoded into a digital signal. Quantization introduces noise that can be reduced by using more quantization levels or a smaller step size between levels. Non-uniform quantization allocates more levels to signal amplitudes that occur more frequently to more efficiently represent the signal.
This document discusses pulse modulation techniques in communications. It begins by reviewing continuous-wave modulation techniques studied previously, such as amplitude modulation and angle modulation. It then previews that pulse modulation will be studied next, including analog pulse modulation where a pulse feature varies continuously with the message, and digital pulse modulation using a sequence of coded pulses. The document provides explanations and equations regarding sampling of continuous-time signals, the sampling theorem, and recovery of the original analog signal from its samples. It also introduces pulse amplitude modulation (PAM) using natural and flat-top sampling, as well as pulse duration modulation (PDM) and pulse position modulation (PPM).
This document describes the operation of a phase-locked loop (PLL) circuit for demodulating frequency modulated (FM) signals. It contains 6 pages describing:
1) The basic block diagram of a PLL including a voltage controlled oscillator, multiplier, loop filter, and voltage controlled oscillator.
2) The mathematical equations showing how the PLL locks the phase and frequency of the voltage controlled oscillator to that of the incoming FM signal.
3) When the PLL is in phase lock and near phase lock based on the phase error between the signals.
4) How the PLL can be used to demodulate an FM signal and recover the original message signal by matching the phase and frequency of the voltage controlled
This document discusses the transmission of frequency modulated (FM) waves. It explains that the bandwidth of an FM wave is theoretically infinite but is effectively limited in practice. Carson's rule provides an estimate of the bandwidth but is not always accurate. The document also describes Armstrong's method for generating FM waves using narrowband phase modulation and frequency multiplication, and demodulating FM waves using envelope detection after taking the derivative of the received signal.
This document discusses angle modulation techniques for communications. It begins by defining phase modulation (PM) and frequency modulation (FM), where the carrier angle or frequency varies with the modulating signal. Key differences between PM and FM are outlined. Properties of angle modulation like constant transmitted power and irregular zero crossings are described. Narrowband FM is analyzed using sinusoidal modulation. Generation of narrowband FM using an integrator is also shown.
This document discusses vestigial sideband (VSB) modulation, which is a modulation technique that lies between single sideband (SSB) and double sideband suppressed carrier (DSB-SC). VSB modulation involves transmitting a vestige, or portion, of the sideband to reduce bandwidth usage compared to DSB-SC. The key aspects covered are:
1) VSB modulation achieves a transmission bandwidth of BW + fv, where fv is the vestige bandwidth which is typically 25% of the message bandwidth BW.
2) A VSB modulator uses a product modulator and VSB shaping filter to generate the modulated signal.
3) VSB demodulation involves product
This document discusses single sideband (SSB) modulation. It begins by reviewing double sideband suppressed carrier (DSB-SC) modulation and how SSB modulation is derived from DSB-SC by suppressing one of the sidebands. It then provides the mathematical expressions for upper SSB and lower SSB modulation. The document also covers the Hilbert transform and how it relates to SSB modulation. It describes the spectra of upper and lower SSB signals and two methods for modulating SSB: frequency discrimination and phase discrimination. Finally, it discusses demodulation of SSB signals.
This document discusses wideband frequency modulation (FM) and its properties. It begins by introducing the concept of FM and defining terms like modulation index and frequency deviation. It then shows that the FM signal can be expressed as a complex Fourier series involving Bessel functions. The spectrum of the FM signal is derived and shown to consist of sidebands spaced at multiples of the modulating frequency away from the carrier frequency. For small modulation indices, the spectrum reduces to the carrier and first sidebands, corresponding to narrowband FM.
The document is an introduction to communications lecture material that covers:
1) The history of radio through three phases - experimentation with electromagnetic waves in the 19th century, the development of wireless communication in the late 19th century, and the commercialization of radio broadcasting in the early 20th century.
2) The basic components of a communication system including message signals, transducers, transmitters, channels, receivers, and output transducers.
3) Fundamental communication concepts such as signal-to-noise ratio, bandwidth, link budgets, random signals, noise, probability, and random processes.
1. The document provides an overview of Fourier analysis techniques including Fourier series, Fourier transforms, and their applications to signal representation and analysis.
2. Key concepts covered include representing periodic and aperiodic signals in the time and frequency domains, properties of linear and time-invariant systems, Parseval's theorem relating signal energy in the time and frequency domains, and the Fourier transforms of basic functions like impulses and complex exponentials.
3. The document establishes essential mathematical foundations for further study of analog and digital communications techniques that involve signal processing and transmission in the frequency domain.
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.