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Random Signal Analysis

A fundamental introduction to the delopment of random signal processing with an emphasis on analysis. Linear transformation, nonlinear;

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Random Processes

signal processing in electrical and computer engineering, and vibrational theory and stress analysis in mechanical engineering. The filtering;

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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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Advanced Signal Analysis and its Applications to Mathematical Physics

The mathematical tools used in signal analysis involve differential and difference equations, integral equations, matrix algebra and;

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Signal Processing

on the computational aspects. This book covers linear system analysis, probability theory, random signals, spectral analysis, estimation;

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Signal Analysis

, complex analysis, distributions, random signals, analog Fourier transforms, and more;

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A Signal Theoretic Introduction to Random Processes

A fresh introduction to random processes utilizing signal theory By incorporating a signal theory basis, A Signal Theoretic Introduction to;

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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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Discrete Random Signal Processing and Filtering Primer With Matlab

of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with;

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Discrete Random Signal Processing and Filtering Primer with MATLAB

of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with;

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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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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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Multiscale Analysis of Complex Time Series

understand the ever-expanding literature and apply novel methods to effectively solve their signal processing problems. Multiscale Analysis;

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Applications of Advanced Signal Analysis

The mathematical tools used in signal analysis involve differential and difference equations, integral equations, matrix algebra and;

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Probability, Random Variables, And Random Signal Principles

student exercises and practical applications for engineers to understand probability concepts. It covers discrete-time random processes and;

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Probability and Random Processes

Probability and Random Processes, Second Edition presents pertinent applications to signal processing and communications, two areas;

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A First Course in Statistics for Signal Analysis

This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad;

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A First Course in Statistics for Signal Analysis

This self-contained and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad;

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Covariance Analysis for Seismic Signal Processing

matrix analysis in the processing of geophysical signals. A background of basic linear algebra, statistics, and fundamental random signal;

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Learning Approaches in Signal Processing

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security;

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Compressed Sensing in Li-Fi and Wi-Fi Networks

. After extensive development of basic theory, many techniques are presented, such as non-asymptotic analysis of random matrices, adaptive;

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Bootstrap Techniques for Signal Processing

random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap;

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Bootstrap Techniques for Signal Processing

random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap;

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Advanced Signal Processing and Digital Noise Reduction

of applications in speech technology, audio signal processing, channel equalisation, radar signal processing, pattern analysis, data forecasting, decision;

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Radar Signal Analysis and Processing Using MATLAB

Offering radar-related software for the analysis and design of radar waveform and signal processing, Radar Signal Analysis and Processing;

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