UID:
edocfu_9959328950402883
Format:
1 online resource (xxx, 514 pages) :
,
illustrations
Edition:
4th ed.
ISBN:
9780470740163
,
0470740167
Content:
Digital signal processing plays a central role in the development of modern communication and information processing systems. The theory and application of signal processing is concerned with the identification, modelling and utilisation of patterns and structures in a signal process. The observation signals are often distorted, incomplete and noisy and therefore noise reduction, the removal of channel distortion, and replacement of lost samples are important parts of a signal processing system. The fourth edition of Advanced Digital Signal Processing and Noise Reduction updates and extends th.
Note:
Introduction --
,
Noise and Distortion --
,
Information Theory and Probability Models --
,
Bayesian Inference --
,
Hidden Markov Models --
,
Least Square Error Wiener-Kolmogorov Fillers --
,
Adaptive Filters: Kalman, RLS, LMS --
,
Linear Prediction Models --
,
Eigenvalue Analysis and Principal Component Analysis --
,
Power Spectrum Analysis --
,
Interpolation -- Replacement of Lost Samples --
,
Signal Enhancement via Spectral Amplitude Estimation --
,
Impulsive Noise: Modelling, Detection and Removal --
,
Transient Noise Pulses --
,
Echo Cancellation --
,
Channel Equalisation and Blind Deconvolution --
,
Speech Enhancement: Noise Reduction, Bandwidth Extension and Packet Replacement --
,
Multiple-Input Multiple-Output Systems, Independent Component Analysis --
,
Signal Processing in Mobile Communication.
Additional Edition:
Print version: Vaseghi, Saeed V. Advanced digital signal processing and noise reduction. Chichester, U.K. : J. Wiley & Sons, 2008 ISBN 9780470754061
Additional Edition:
ISBN 0470754060
Language:
English
Keywords:
Electronic books.
;
Llibres electrònics.
DOI:
10.1002/9780470740156
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470740156
