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Introduction to Random Signals and Noise

Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish;

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Principles of Random Signal Analysis and Low Noise Design

random processes over finite or infinite intervals.* Provides readers with a useful reference when designing or modeling communications systems.;

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Randomness and Elements of Decision Theory Applied to Signals

This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving;

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Random Signals

This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. The text;

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Signal Processing of Random Physiological Signals

This lecture book is intended to be an accessible and comprehensive introduction to random signal processing with an emphasis on the real;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Random Signal Processing

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral;

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Signals and Systems

This book provides a rigorous treatment of deterministic and random signals. It offers detailed information on topics including random;

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Modulation Theory

of probability, random variables and stochastic processes, including autocorrelation, cross-correlation, power spectral and cross-spectral densities, for;

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Modulation Theory

of probability, random variables and stochastic processes, including autocorrelation, cross-correlation, power spectral and cross-spectral densities, for;

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An Introduction To The Theory Of Random Signals And Noise

This bible of a whole generation of communications engineers was originally published in 1958. The;...

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Signals and Systems Primer with MATLAB

and infinite impulse response digital filters, and the fundamentals of random digital signal processing, including the nonparametric spectral;

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Signals and Systems

. Different types of signals include analog, digital, deterministic, random, energy, power, etc. The book aims to shed light on some of the unexplored;

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An Introduction to Statistical Signal Processing

of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random;

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An Introduction to Statistical Signal Processing

of basic probability, random objects, expectation, and second order moment theory followed by a wide variety of examples of the most popular random;

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Understanding Digital Signal Processing with MATLAB® and Solutions

due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal;

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Understanding Digital Signal Processing with MATLAB (R) and Solutions

due to random additive signals, known as noise, that distorts them or completely overshadows them. Such examples include an audio signal;

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Random Processes with Applications to Circuits and Communications

This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal;

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Random Processes with Applications to Circuits and Communications

This textbook is based on 20 years of teaching a graduate-level course in random processes to a constituency extending beyond signal;

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Fractional Processes and Fractional-Order Signal Processing

Processing, some complex random signals, characterized by the presence of a heavy-tailed distribution or non-negligible dependence between distant;

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Discrete Stochastic Processes and Optimal Filtering

aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random;

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Discrete Stochastic Processes and Optimal Filtering

aeronautics, filter processing in the telecommunications industry, etc. This book provides a comprehensive overview of this area, discussing random;

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Signal Design for Good Correlation

-random sequence generation for secure authentication and for stream cipher cryptology.;

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Introductory Digital Signal Processing W

of random digital signals and random DSP in the undergraduate syllabus by including two new chapters. The authors' practical, problem-solving;

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Fundamentals of Signal Processing for Sound and Vibration Engineers

sound and vibration engineering field. Split into two parts, covering deterministic signals then random signals, and offering a clear;

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Multidimensional Signal and Color Image Processing Using Lattices

, sampling and reconstruction, light and color, random field models, image representation and more. While most treatments use normalized;

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Statistical Signal Processing of Complex-Valued Data

Complex-valued random signals are embedded in the very fabric of science and engineering, yet the usual assumptions made about their;

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