Download PDF by Saeed V. Vaseghi: Advanced Digital Signal Processing and Noise Reduction

By Saeed V. Vaseghi

ISBN-10: 047009494X

ISBN-13: 9780470094945

Sign processing performs an more and more significant function within the improvement of contemporary telecommunication and data processing structures, with quite a lot of purposes in components similar to multimedia expertise, audio-visual sign processing, mobile cellular communique, radar structures and fiscal info forecasting. the speculation and alertness of sign processing offers with the id, modelling and utilisation of styles and buildings in a sign technique. The statement indications are frequently distorted, incomplete and noisy and as a result, noise aid and the elimination of channel distortion is a crucial a part of a sign processing process. complicated electronic sign Processing and Noise relief, 3rd version, presents an absolutely up to date and based presentation of the speculation and purposes of statistical sign processing and noise aid equipment. Noise is the everlasting bane of communications engineers, who're regularly striving to discover new how one can increase the signal-to-noise ratio in communications structures and this source may also help them with this activity.

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For example, as described in Chapter 10, a linear prediction model driven by a random signal can provide a source-filter model of the acoustic realisation of a spoken word. However, the random input signal of the linear prediction model, or the variations in the characteristics of different acoustic realisations of the same word across the speaking population, can only be described in statistical terms and in terms of probability functions. The Bayesian inference theory provides a generalised framework for statistical processing of random signals, and for formulating and solving estimation and decision-making problems.

L. (1987) Digital Spectral Analysis with Applications. Prentice-Hall, Englewood Cliffs, NJ. V. W. (1989) Discrete-Time Signal Processing. Prentice-Hall, Englewood Cliffs, NJ. , Ling F. L. (1992) Advanced Signal Processing. Macmillan, New York. R. and Gold B. (1975) Theory and Applications of Digital Processing. Prentice-Hall, Englewood Cliffs, NJ. R. W. (1978) Digital Processing of Speech Signals. Prentice-Hall, Englewood Cliffs, NJ. L. (1991) Statistical Signal Processing: Detection, Estimation, and Time Series Analysis.

The filter bank coefficients attenuate each noisy signal frequency in inverse proportion to the signal-to-noise ratio at that frequency. The Wiener filter bank coefficients, derived in Chapter 6, are calculated from estimates of the power spectra of the signal and the noise processes. 3 BLIND CHANNEL EQUALISATION Channel equalisation is the recovery of a signal distorted in transmission through a communication channel with a nonflat magnitude or a nonlinear phase response. When the channel response is unknown, the process of signal recovery is called ‘blind equalisation’.

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Advanced Digital Signal Processing and Noise Reduction by Saeed V. Vaseghi

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