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A First Course in Statistics for Signal Analysis
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A First Course in Statistics for Signal Analysis

A First Course in Statistics for Signal Analysis

Wojbor A. Woyczynski

332 pages, parution le 16/10/2020

Résumé

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.

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.

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.Wojbor A. Woyczynski is a Professor in the Department of Statistics and the Director of the Center for Stochastic and Chaotic Processes in Science and Technology at Case Western Reserve University. His research interests include probability theory, Levy stochastic processes, random fields and their statistics, nonlinear, stochastic and fractional evolution equations, harmonic and functional analysis, random graphs, statistical physics and hydrodynamics, chaotic dynamics, applications to chemistry, physics, operations research, financial mathematics, medicine, oceanography, and atmospheric physics.

Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Wojbor A. Woyczynski
Parution 16/10/2020
Nb. de pages 332
EAN13 9783030209100

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