In recent years, rapid advances in computer hardware technology, including the development of specialized digital signal processors, have facilitated the development of algorithms whose applications would have been unthinkable only a short time ago. These algorithms allow for real-time application, make use of prior knowledge, can adapt in response to a changing environment, and are designed to achieve near-optimum performance under a broad range of operating conditions. This book examines the application of such algorithms to audio, video, and telecommunications.
The book is divided into four parts: methods, applications to audio, video, and telecommunications. Topics covered include wavelet transforms, adaptive filter design, neural networks, order statistic filters and projection methods.
Each chapter has been written by a leading expert in the field. Signal Processing Methods for Audio, Images and Telecommunications will be of great interest to students, researchers, and engineers alike, in all areas of signal and image processing.
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"This book can be of great value and interest to graduate students, researchers and engineers in all areas of signal and image processing. It can also be a valuable reference book for final year undergraduates engaged in signal processing projects. I found the book rich and compact, and a very special and useful signal processing book." --INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION
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