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Principles of Adaptive Filters and Self-learning Systems

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Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Filtering
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    Chapter 2 Linear Systems and Stochastic Processes
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    Chapter 3 Optimisation and Least Squares Estimation
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    Chapter 4 Parametric Signal and System Modelling
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    Chapter 5 Optimum Wiener Filter
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    Chapter 6 Optimum Kalman Filter
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    Chapter 7 Power Spectral Density Analysis
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    Chapter 8 Adaptive Finite Impulse Response Filters
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    Chapter 9 Frequency Domain Adaptive Filters
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    Chapter 10 Adaptive Volterra Filters
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    Chapter 11 Adaptive Control Systems
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    Chapter 12 Introduction to Neural Networks
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    Chapter 13 Introduction to Fuzzy Logic Systems
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    Chapter 14 Introduction to Genetic Algorithms
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    Chapter 15 Applications of Adaptive Signal Processing
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    Chapter 16 Generic Adaptive Filter Structures
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