Advanced Digital Signal Processing and Noise Reduction~tqw~ darksiderg

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Advanced Digital Signal Processing and Noise Reduction
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Type.................: Ebook
Part Size............: 9,020,627 bytes
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Posted by............: ~tqw~
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Release Notes
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Signal processing plays an increasingly central role in the development of
modern telecommunication and information processing systems, with a wide range
of applications in areas such as multimedia technology, audio-visual signal
processing, cellular mobile communication, radar systems and financial data
forecasting. The theory and application of signal processing deals with the
identification, modelling and utilisation of patterns and structures in a signal
process. The observation signals are often distorted, incomplete and noisy and
hence, noise reduction and the removal of channel distortion is an important
part of a signal processing system.
Advanced Digital Signal Processing and Noise Reduction, Third Edition, provides
a fully updated and structured presentation of the theory and applications of
statistical signal processing and noise reduction methods. Noise is the eternal
bane of communications engineers, who are always striving to find new ways to
improve the signal-to-noise ratio in communications systems and this resource
will help them with this task.
* Features two new chapters on Noise, Distortion and Diversity in Mobile
Environments and Noise Reduction Methods for Speech Enhancement over Noisy
Mobile Devices.
* Topics discussed include: probability theory, Bayesian estimation and
classification, hidden Markov models, adaptive filters, multi-band linear
prediction, spectral estimation, and impulsive and transient noise removal.
* Explores practical solutions to interpolation of missing signals, echo
cancellation, impulsive and transient noise removal, channel equalisation,
HMM-based signal and noise decomposition.
This is aninvaluable text for senior undergraduates, postgraduates and
researchers in the fields of digital signal processing, telecommunications and
statistical data analysis. It will also appeal to engineers in
telecommunications and audio and signal processing industries.
Table of Contents
1 Introduction 1
2 Noise and distortion 23
3 Probability and information models 39
4 Bayesian inference 93
5 Hidden Markov models 137
6 Least square error filters 165
7 Adaptive filters 187
8 Linear prediction models 209
9 Power spectrum and correlation 241
10 Interpolation 267
11 Spectral amplitude estimation 297
12 Impulsive noise 319
13 Transient noise pulses 337
14 Echo cancellation 351
15 Channel equalisation and blind deconvolution 371
16 Speech enhancement in noise 409
17 Noise in wireless communications 433
Product Details
* ISBN: 047009494X
* ISBN-13: 9780470094945
* Format: Textbook Hardcover, 480pp
* Publisher: Wiley, John & Sons, Incorporated
* Pub. Date: January 2006
* Edition Description: Revised Edition
* Edition Number: 3
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