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A comprehensive guide to the theory and practice of signal enhancement and array signal processing, including matlab codes, exercises and;
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processing. The book then details the design of digital filters and array signal processing, and lastly examines applications in image processing;
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propagation as well as the fundamentals of aperture theory, array theory, and signal processing. Starting with principles and using a consistent;
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Exploring the interrelation between information theory and signal processing theory, the book contains a new algebraic approach to signal;
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practical. This book details recent advances in nonlinear theory and methods and explores an array of modern signal and image processing;
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This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT;
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algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing;
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algorithm, applications of adaptive filtering, algorithms and structures for adaptive filtering, spectral analysis, and array signal processing;
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This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and;
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, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as;
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Problems and Signal Reconstruction, and Time-Frequency and Multirate Signal Processing. Wireless, Networking, Radar, Sensor Array Processing;
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;
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Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues;
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advances in the field, e.g. deep neural networks. * Diverse disciplines: array processing, machine learning, and statistical signal processing;
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Digital Signal Processing (DSP) is one of the most powerful technologies nowadays. It is the study of signals and their representation and;
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Comprehensive and packed with practical examples, Signal and Image Processing Sourcebook is your complete guide to the rapidly-expanding;
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For practicing engineers and scientists who design and analyze signal processing systems, i.e., to extract information from noisy signals;
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Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory;
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Intended as a text for three courses - Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture - this comprehensive text;
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fundamentals of discrete-time signals, systems, and modern digital processing and applications for students in electrical engineering, computer;
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High-Resolution and Robust Signal Processing describes key methodological and theoretical advances achieved in this domain over the last;
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Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the;
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, virtual arrays, ground moving target indication, and many more. Presents complete coverage of foundational digital radar signal processing;
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supplies various examples and MATLAB(R) implementations delivered within the PhaseLab toolbox. Single-Channel Phase-Aware Signal Processing;
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Advances in digital signal processing algorithms and computer technology have combined to produce real-time systems with capabilities far;
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signal processing offers an unparalleled look at its underlying theory and selected processing applications. Designed as both a senior level;
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Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore;
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