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Signal Processing and Data Analysis / Tianshuang Qiu, Ying Guo.

By: Qiu, Tianshuang [author.].
Contributor(s): Guo, Ying [author.] | Tsinghua University Press.
Material type: materialTypeLabelBookSeries: De Gruyter Textbook.Publisher: Berlin ; Boston : De Gruyter, [2018]Copyright date: ©2018Description: 1 online resource (XVIII, 586 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110465082.Subject(s): Signal processing -- Digital techniques | Technology & Engineering / Signals & Signal ProcessingAdditional physical formats: No title; No titleDDC classification: 621.3 Online resources: Click here to access online | Click here to access online | Cover
Contents:
Frontmatter -- 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
Title is part of eBook package:DG Plus eBook-Package 2018Title is part of eBook package:EBOOK PACKAGE COMPLETE 2018 EnglishTitle is part of eBook package:EBOOK PACKAGE COMPLETE 2018Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2018 EnglishTitle is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2018Summary: 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.
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Frontmatter -- 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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http://purl.org/coar/access_right/c_16ec

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.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)

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