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Advanced Digital Signal Processing and Noise Reduction

Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory;

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Denoising Audio Signal from Various Realistic Noise using Wavelet Transform

based techniques to estimate the noisy audio signal. One of the transform technique known as wavelet transform will be used for denoising an;

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Vehicle Gearbox Noise and Vibration

need and comprehensively covers the sources of noise and vibration in gearboxes and describes various methods of signal processing. It also;

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Signal Detection Theory

This new text/reference is a comprehensive presentation of fundamental problems for the generalized approach to signal detection theory;

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Noise And Signal Interference In Optical Fiber Transmission Systems

methods. The author discusses the subject with the help of numerous applications and simulations of noise and signal interference theory. Key;

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Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy

introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses;

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Signal from Noise, Information from Data

Signal from Noise, Information from Data is een boek van William a Luker Sr and Bill Luker Jr;

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Signal Recovery from Noise in Electronic Instrumentation

Covering all aspects of the subject, Signal Recovery from Noise in Electronic Instrumentation, Second Edition examines the interference;

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Signal Recovery from Noise in Electronic Instrumentation

Covering all aspects of the subject, Signal Recovery from Noise in Electronic Instrumentation, Second Edition examines the interference;

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Introduction to Random Signals and Noise

between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical;

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Broadband Direct RF Digitization Receivers

This book discusses the trade-offs involved in designing direct RF digitization receivers for the radio frequency and digital signal;

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Advanced Signal Processing and Digital Noise Reduction

making systems etc. The theory and application of signal processing is concerned with the identification, modelling, and utilisation of patterns;

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Noise and Vibration Analysis

Noise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their;

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Noise Contamination in Nanoscale VLSI Circuits

reliability in nanometer-scale integrated circuits. The author covers different types of noise, such as crosstalk noise caused by signal switching;

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A Perspective on Single-channel Frequency-domain Speech Enhancement

solution is eventually expressed as a gain function applied to the STFT of the noisy signal only in the current frame. As a result, the narrowband;

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Noise Reduction in Speech Applications

Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for;

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Signal Polarization Selection for Aircraft Radar Control

-distributed targets. This synthesis is fulfilled as close as possible to its ideal configuration in terms of maximal signal-to-noise ratio for the;

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Signal Polarization Selection for Aircraft Radar Control

-distributed targets. This synthesis is fulfilled as close as possible to its ideal configuration in terms of maximal signal-to-noise ratio for the;

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Understanding Digital Signal Processing with MATLAB® and Solutions

The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected;

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Understanding Digital Signal Processing with MATLAB (R) and Solutions

The book discusses receiving signals that most electrical engineers detect and study. The vast majority of signals could never be detected;

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Real-time Signal Processing Algorithms

for different signal-to-noise ratio levels of speech-shaped noise were conducted to evaluate its performance. This thesis includes the results;

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A Perspective on Single-Channel Frequency-Domain Speech Enhancement

solution is eventually expressed as a gain function applied to the STFT of the noisy signal only in the current frame. As a result, the narrowband;

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Signal Processing for Active Control

Signal Processing for Active Control sets out the signal processing and automatic control techniques that are used in the analysis;

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Principles of Random Signal Analysis and Low Noise Design

* Describes the leading techniques for analyzing noise.* Discusses methods that are applicable to periodic signals, aperiodic signals, or;

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