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Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal;
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given frequency component. A more suitable approach for those studying non-stationary signals is the use of time frequency representations that;
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Time-Frequency Signal Analysis and Processing (TFSAP) is a collection of theory, techniques and algorithms used for the analysis and;
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zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their;
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zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their;
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files and elementary operations on signals and then presents the first tools to signal analysis such as temporal and frequency characteristics;
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count method for frequency signal processing, this book presents a practical approach to the design of signal processing sensors. Modern;
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As demand for applications working in extended frequency ranges increases, classical Digital signal processing (DSP) techniques, not;
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security. From the contents: * History * Signal and systems in time and frequency domain * Propagation of electromagnetic waves (in frequency and;
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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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processing approaches assume the stationarity of signals, which in practice is not often satisfied. Hence, time or frequency descriptions alone are;
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signals. Such frequency extension is desirable if at some point the frequency content of the audio signal has been reduced, as can happen for;
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time-frequency domain, how essential representation parameters are coded, and how such signals are efficiently reproduced for practical;
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In recent years, a wealth of research has emerged addressing various aspects of mobile communications signal processing. New applications;
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frequency, spatio--temporal signal processing and the spectral representation of motion and tracking of moving objects aeo Features examples;
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frequency synthesis deal with the phase-locked loop (PLL), this book focuses on the clock signal. It revisits the concept of frequency, solves;
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Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing;
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of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard;
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Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time-Frequency and Multirate Signal Processing.;
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Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time-Frequency and Multirate Signal Processing.;
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This book focuses on signal processing algorithms based on the timefrequency domain. Original methods and algorithms are presented which;
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Presents a comprehensive overview and analysis of the recent developments in signal processing for Chipless Radio Frequency Identification;
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Covering a period of about 25 years, during which time-frequency has undergone significant developments, this book is principally addressed;
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reference work for advanced students and practitioners in wavelets, and wavelet transforms, signal processing and time-frequency signal analysis;
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Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP;
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signal processing techniques from a more mathematics-oriented perspective. The FT decomposes functions into a frequency spectra which contain;
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of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book;
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