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

This book provides a coherent and structured presentation of the theory and applications of statistical signal processing and noise reduction methods. The wide range of topics covered in this book include Wiener filters, echo cancellation, channel equalisation, spectral estimation, detection and removal of impulsive and transient noise, interpolation of missing data segments, speech enhancement and noise/interference in mobile communication environments.

This edition updates and extends the chapters in the previous edition and includes two new chapters on MIMO systems, Correlation and Eigen analysis and independent component analysis.

The book is an invaluable text for postgraduates, senior undergraduates and researchers in the fields of digital signal processing, telecommunications and statistical data analysis. It will also be of interest to professional engineers in telecommunications and audio and signal processing industries and network planners and implementers in mobile and wireless communication communities.

Brief Contents
Preface
Acknowledgements
Symbols
Abbreviations
1: Introduction
2: Noise and Distortion
3: Information Theory and Probability Models
4: Bayesian Inference
5: Hidden Markov Models
6: Least Square Error Wiener-Kolmogorov Filters
7: Adaptive Filters: Kalman, RLS, LMS
8: Linear Prediction Models
9: Eigenvalue Analysis and Principal Component Analysis
10: Power Spectrum Analysis
11: Interpolation - Replacement of Lost Samples
12: Signal Enhancement via Spectral Amplitude Estimation
13: Impulsive Noise: Modelling, Detection and Removal
14: Transient Noise Pulses
15: Echo Cancellation
16: Channel Equalisation and Blind Deconvolution
17: Speech Enhancement: Noise Reduction, Bandwidth Extension and Packet Replacement
18: Multiple-Input Multiple-Output Systems, Independent Component Analysis
19: Signal Processing in Mobile Communication
Index

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