This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods.
New to this edition: MATLAB projects dealing with practical applications added throughout the book New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field New applications ...
This text presents an accessible yet comprehensive analytical treatment of signals and systems, and also incorporates a strong emphasis on solving problems and exploring concepts using MATLAB The background required for reading this book ...
Some of the topics covered include: Basic algorithms for filtering, linear prediction, and adaptation of filter coefficients Application of these algorithms to acoustic echo cancellation and residual echo and noise suppression Estimation of ...
ADVANCED DIGITAL SIGNAL PROCESSING AND NOISE REDUCTION.
Written by three distinguished experts and overseen by a leading historian of climate change, Brian Fagan, The Complete Ice Age reveals how climate fluctuated wildly between severe glacial periods and...
This textbook and reference for graduate level courses in digital signal processing can be used in a variety of courses.
Sluyter, R. J.; Vary, P.; Hofmann, R.; Hellwig, K. (1988). A Regular-pulse Excited Linear Predictive Codec, Speech Communication, vol. 7, no. 2, pp. 209–215. Soong, F.; Juang, B. (1984). Line Spectrum Pair (LSP) and Speech Data ...
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The speed of sound is approximately 343m/s for room temperature and normal atmospheric pressure. With this speed, a sound wave will travel 10cm in 291ms, which is 4.66 sampling periods when sampling the sound with 16000 samples per ...