Vaseghi S.V. Advanced Digital Signal Processing and Noise Reduction

3rd Edition. — John Wiley and Sons, Ltd, 2006. — xxvi, 453 p. — ISBN 978-0-470-09494-5.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.Noise and Distortion.
Probability and Information Models.
Bayesian Inference.
Hidden Markov Models.
Least Square Error Filters.
Adaptive Filters.
Linear Prediction Models.
Power Spectrum and Correlation.
Interpolation.
Spectral Amplitude Estimation.
Impulsive Noise.
Transient Noise Pulses.
Echo Cancellation.
Channel Equalisation and Blind Deconvolution.
Speech Enhancement in Noise.
Noise in Wireless Communications.