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A First Course in Statistics for Signal Analysis

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Cover of 'A First Course in Statistics for Signal Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Description of Signals
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    Chapter 2 Spectral Representation of Deterministic Signals: Fourier Series and Transforms
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    Chapter 3 Uncertainty Principle and Wavelet Transforms
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    Chapter 4 Random Quantities and Random Vectors
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    Chapter 5 Stationary Signals
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    Chapter 6 Power Spectra of Stationary Signals
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    Chapter 7 Transmission of Stationary Signals Through Linear Systems
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    Chapter 8 Optimization of Signal-to-Noise Ratio in Linear Systems
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    Chapter 9 Gaussian Signals, Covariance Matrices, and Sample Path Properties
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    Chapter 10 Spectral Representation of Discrete-Time Stationary Signals and Their Computer Simulations
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    Chapter 11 Prediction Theory for Stationary Random Signals
Attention for Chapter 9: Gaussian Signals, Covariance Matrices, and Sample Path Properties
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