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Introduction to Random Signals and Noise

grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals;

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Principles of Random Signal Analysis and Low Noise Design

* Describes the leading techniques for analyzing noise.* Discusses methods that are applicable to periodic signals, aperiodic signals, or;

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An Introduction To The Theory Of Random Signals And Noise

underlying the study of signals and noises in communications systems, emphasizing techniques as well s results. End of chapter problems are provided;

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Random Processes with Applications to Circuits and Communications

time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or;

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Random Processes with Applications to Circuits and Communications

time, techniques used to analyze modulated communications and radar signals, such as the baseband representation of bandpass random signals, or;

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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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Randomness and Elements of Decision Theory Applied to Signals

professionals who need a quick introduction but practical introduction how to deal with random signals and processes;

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Advanced Signal Processing and Digital Noise Reduction

of stochastic signal processing. The chapter begins with an introduction to random signals, stochastic processes, probabilistic models and statistical;

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Analog Communications

of signals and systems, random variables and random processes, amplitude modulation, frequency modulation, pulse code modulation and noise in analog;

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Oscillator And Pendulum With A Random Mass

: random frequency, random damping and random mass. The first three types of noise were intensively studied in many published articles. In this;

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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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Introduction To Hida Distributions

of idealized elemental (infinitesimal) random variables. Thus, we are naturally led to have functionals of such elemental random variables that;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Discrete Stochastic Processes and Optimal Filtering

Optimal filtering applied to stationary and non-stationary signals provides the most efficient means of dealing with problems arising from;

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Noise Matters The Evolution Of Communica

of signals in transit, and spontaneous random activity in receivers and signalers. Whatever the cause, the consequence of noise is error by receivers;

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Introductory Digital Signal Processing W

engineers and scientists will also find this a highly accessible introduction to an increasingly important field.;

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Signal Processing

is to provide an elementary, informal introduction, as well as a comprehensive account of principles of random signal processing, with emphasis;

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An Introduction to Statistical Signal Processing

process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating;

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An Introduction to Statistical Signal Processing

process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating;

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Introduction to Random Processes in Engineering

of random signals and data processing, Introduction to Random Processes in Engineering addresses the latest advances in communication, control;

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Modulation Theory

covers signal representations for most known waveforms, Fourier analysis, and presents an introduction to Fourier transform and signal spectrum;

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Modulation Theory

book covers signal representations for most known waveforms, Fourier analysis, and presents an introduction to Fourier transform and signal;

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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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Transmission Principles for Technicians

A new edition of this well-known introduction to modern digital telecommunications networks. It has been revised and updated to provide;

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Tunable Low-Power Low-Noise Amplifier for Healthcare Applications

This book consists of the research, design and implementation, from sizing to layout with parasitic extraction and yield estimation, of a;

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Fundamentals of Signal Processing for Sound and Vibration Engineers

of mechanical, automotive, aerospace and civil engineering. Offers an excellent introduction to signal processing for students and professionals in the;

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