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Modern Signal Processing

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The book systematically introduces theories of frequently-used modern signal processing methods and technologies, and focuses discussions on stochastic signal, parameter estimation, modern spectral estimation, adaptive filter, high-order signal analysis and non-linear transformation in time-domain signal analysis. With abundant exercises, the book is an essential reference for graduate students in electrical engineering and information science. - Presents mathematical deduction for modern signal processing methods. - Focuses on modern spectral estimation, adaptive filter and high-order signal analysis. - Exercises accompanied by detailed solutions.

Author(s): Xian-Da Zhang
Series: De Gruyter STEM
Edition: 1
Publisher: De Gruyter
Year: 2022

Language: English
Pages: 587
Tags: Signal Processing, Random Signals, Parameter Estimation, Spectral Estimation, Adaptive Filter, Time-Frequeny Transform, Blind Signal Processing, Array Signal Processing

Acknowledgements
Contents
1 Random Signals
2 Parameter Estimation Theory
3 Signal Detection
4 Modern Spectral Estimation
5 Adaptive Filter
6 Higher-Order Statistical Analysis
7 Linear Time-Frequency Transform
8 Quadratic Time-frequency Distribution
9 Blind Signal Separation
10 Array Signal Processing
Index
Bibliography