Modern Signal Processing
Book information
Description
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. 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
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