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A first course in statistics for sig...
~
Woyczynski, Wojbor A.
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A first course in statistics for signal analysis
Record Type:
Electronic resources : Monograph/item
Title/Author:
A first course in statistics for signal analysis/ by Wojbor A. Woyczynski.
Author:
Woyczynski, Wojbor A.
Published:
Cham :Springer International Publishing : : 2019.,
Description:
xviii, 332 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:
Description of Signals -- Spectral Representation of Deterministic Signals: Fourier Series and Transforms -- Uncertainty Principle and Wavelet Transforms -- Random Variables 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 Signals and Their Computer Simulations -- Prediction Theory for Stationary Random Signals -- Solutions to Selected Problems and Exercises.
Contained By:
Springer eBooks
Subject:
Signal processing - Statistical methods. -
Online resource:
https://doi.org/10.1007/978-3-030-20908-7
ISBN:
9783030209087
A first course in statistics for signal analysis
Woyczynski, Wojbor A.
A first course in statistics for signal analysis
[electronic resource] /by Wojbor A. Woyczynski. - 3rd ed. - Cham :Springer International Publishing :2019. - xviii, 332 p. :ill. (some col.), digital ;24 cm. - Statistics for industry, technology, and engineering,2662-5555. - Statistics for industry, technology, and engineering..
Description of Signals -- Spectral Representation of Deterministic Signals: Fourier Series and Transforms -- Uncertainty Principle and Wavelet Transforms -- Random Variables 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 Signals and Their Computer Simulations -- Prediction Theory for Stationary Random Signals -- Solutions to Selected Problems and Exercises.
ISBN: 9783030209087
Standard No.: 10.1007/978-3-030-20908-7doiSubjects--Topical Terms:
649787
Signal processing
--Statistical methods.
LC Class. No.: TK5102.9 / .W693 2019
Dewey Class. No.: 621.382205195
A first course in statistics for signal analysis
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Imprint: Birkhauser,
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2019.
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24 cm.
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Statistics for industry, technology, and engineering,
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2662-5555
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Description of Signals -- Spectral Representation of Deterministic Signals: Fourier Series and Transforms -- Uncertainty Principle and Wavelet Transforms -- Random Variables 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 Signals and Their Computer Simulations -- Prediction Theory for Stationary Random Signals -- Solutions to Selected Problems and Exercises.
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Mathematics and Statistics (Springer-11649)
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W9393901
電子資源
11.線上閱覽_V
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EB TK5102.9 .W693 2019
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