A first course in statistics for signal analysis
著者
書誌事項
A first course in statistics for signal analysis
Birkhäuser , Springer, c2011
2nd ed.
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注記
Includes bibliographical references (p. 253-255) and index
内容説明・目次
内容説明
This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences. The emphasis throughout is on fundamental concepts and relationships in the statistical theory of stationary random signals, which are explained in a concise, yet rigorous presentation. With abundant practice exercises and thorough explanations, A First Course in Statistics for Signal Analysis is an excellent tool for both teaching students and training laboratory scientists and engineers. Improvements in the second edition include considerably expanded sections, enhanced precision, and more illustrative figures.
目次
Foreword to the Second Edition.- Introduction.- Notation.- Description of Signals.- Spectral Representation of Deterministic Signals: Fourier Series and Transforms.- Random Quantities and Random Vectors.- Stationary Signals.- Power Spectra of Random Signals.- Transmission of Stationary Signals through Linear Systems.- Optimization of Signal-to-Noise Ratio in Linear Systems.- Gaussian Signals, Covariance Matrices, and Sample Path Properties.- Spectral Representation of Discrete-Time Stationary Signals and Their Computer Simulations.- Solutions to Selected Exercises.- Bibliographical Comments.- Index.
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