Adaptive Filter Theory, 5th

deepcore · 发表于 2017-10-22 10:27:59

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Simon Haykin

Adaptive Filter Theory, 5th

Chapter 1 Stochastic Processes and Models
Chapter 2 Wiener Filters
Chapter 3 Linear Prediction
Chapter 4 Method of Steepest Descent
Chapter 5 Method of Stochastic Gradient Descent
Chapter 6 The Least-Mean-Square (LMS) Algorithm
Chapter 7 Normalized Least-Mean-Square (LMS) Algorithm and Its Generalization
Chapter 8 Block-Adaptive Filters
Chapter 9 Method of Least-Squares
Chapter 10 The Recursive Least-Squares (RLS) Algorithm
Chapter 11 Robustness
Chapter 12 Finite-Precision Effects
Chapter 13 Adaptation in Nonstationary Environments
Chapter 14 Kalman Filters
Chapter 15 Square-Root Adaptive Filtering Algorithms
Chapter 16 Order-Recursive Adaptive Filtering Algorithm
Chapter 17 Blind Deconvolution

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im.leo · 发表于 2017-10-23 09:46:55

多谢分享

apteye · 发表于 2017-10-23 20:44:19

goodbook

pjlee · 发表于 2017-11-3 22:35:20

感謝分享

cdting · 发表于 2017-11-4 13:50:16

非常感謝~~~

peepeekid · 发表于 2017-11-7 06:59:35

New book ?

chenxz_123456 · 发表于 2017-11-10 13:27:26

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vincenth · 发表于 2017-11-12 00:32:12

xie xie xie!

amigo.change · 发表于 2017-11-26 17:45:19

zmnju · 发表于 2018-1-3 21:44:56

谢谢分享

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