Signal Processing and Data Analysis

✍ Scribed by Tianshuang Qiu; Ying Guo; Tsinghua University Press

Publisher: De Gruyter
Year: 2018
Tongue: English
Leaves: 602
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book presents digital signal processing theories and methods and their applications in data analysis, error analysis and statistical signal processing. Algorithms and Matlab programming are included to guide readers step by step in dealing with practical difficulties. Designed in a self-contained way, the book is suitable for graduate students in electrical engineering, information science and engineering in general.

Wide coverage on analytical methods in signals and systems.
Application-oriented with abundant examples, exercises and case studies.
Adapted to learning pattern.

✦ Table of Contents

Preface
Contents
1. Basic Concepts and Principles of Signals and Systems
2. Fourier Theory and Frequency Analysis of Signals and Systems
3. The Complex Frequency Domain Analysis of Signals and Systems with Laplace Transform and z-Transform
4. Discretization of Continuous-Time Signals and Reconstruction of Discrete-Time Signals
5. Discrete Fourier Transform and Fast Fourier Transform
6. Digital Filter and Digital Filter Design
7. Finite-Precision Numerical Effects in Digital Signal Processing
8. Data Error Analysis and Signal Preprocessing
9. Fundamentals of Random Signal Processing
10. Correlation Estimation and Power Spectral Density (PSD) Estimation of Random Signals
11. The Optimal Filtering for Random Signals
12. Adaptive Filtering
13. Higher-Order and Fractional Lower-Order Statistics
14. Introduction of Modern Signal Processing
Bibliography
Index

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