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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Signal processing noise / Vyacheslav P. Tuzlukov.

By: Material type: TextSeries: The electrical engineering and applied signal processing seriesPublication details: Boca Raton : CRC Press, c2002.Description: 663 p. : ill. ; 25 cmISBN:
  • 0849310253 (alk. paper)
Subject(s): DDC classification:
  • 621.382 24 TUZ 23
LOC classification:
  • TK5102.9 .T88 2002
Online resources:
Contents:
PROBABILITY AND STATISTICS Probability: Basic Concepts Random Variables Stochastic Processes Correlation Function Spectral Density Statistical Characteristics Conclusions References CLASSICAL AND MODERN APPROACHES TO SIGNAL DETECTION THEORY Gaussian Approach Markov Approach Bayes' Decision-Making Rule Unbiased and Invariant Decision-Making Rules Mini-Max Decision-Making Rule Sequential Signal Detection Signal Detection in Non-Gaussian Noise Non-Parametric Signal Detection Conclusions References MAIN CHARACTERISTICS OF MULTIPLICATIVE NOISE Classification of the Noise and Interference Sources of the Multiplicative Noise Classification and Main Properties of Multiplicative Noise Correlation Function and Energy Spectrum of Multiplicative Noise Generalized Statistical Model of Multiplicative Noise Conclusions References STATISTICAL CHARACTERISTICS OF SIGNALS UNDER THE STIMULUS OF MULTIPLICATIVE NOISE Deterministic and Quasideterministic Multiplicative Noise Stationary Fluctuating Multiplicative Noise Ensemble and Individual Realizations of the Signal Probability Distribution Density of the Signal in the Additive Gaussian Noise under the Stimulus of Multiplicative Noise Multivariate Probability Distribution Density of Instantaneous Values of the Signal under the Stimulus of Fluctuating Multiplicative Noise Conclusions References MAIN THEORETICAL PRINCIPLES OF THE GENERALIZED APPROACH TO SIGNAL PROCESSING UNDER THE STIMULUS OF MULTIPLICATIVE NOISE Basic Concepts Criticism Initial Premises Likelihood Ratio Engineering Interpretation Generalized Detector Distribution Law Conclusions References GENERALIZED APPROACH TO SIGNAL PROCESSING UNDER THE STIMULUS OF MULTIPLICATIVE NOISE AND LINEAR SYSTEMS Signal Characteristics at the Output of Linear System of the Generalized Detector under the Stimulus of Multiplicative Noise Signal Characteristics at the Generalized Detector Output under under the Stimulus of Multiplicative Noise Signal Noise Component for Some Types of Signals Signal Noise Component under the Stimulus of the Slow and Rapid Multiplicative Noise Signal Distribution Law under the Stimulus of Multiplicative Noise Conclusions References GENERALIZED APPROACH TO SIGNAL DETECTION IN THE PRESENCE OF MULTIPLICATIVE AND ADDITIVE GAUSSIAN NOISE Statistical Characteristics of Signals at the Output of the Generalized Detector Detection Performances of the Generalized Detector Known Correlation Function of the Multiplicative Noise One-Channel Generalized Detector Diversity Signal Detection Conclusions References SIGNAL PARAMETER MEASUREMENT PRECISION A Single Signal Parameter Measurement under a Combined Stimulus of Weak Multiplicative and Additive Gaussian Noise Simultaneous Measurement of Two Signal Parameters under a Combined Stimulus of Weak Multiplicative and Additive Gaussian Noise A Single Parameter Measurement under a Combined Stimulus of High Multiplicative and Additive Gaussian Noise Conclusions References SIGNAL RESOLUTION UNDER THE GENERALIZED APPROACH TO SIGNAL PROCESSING IN THE PRESENCE OF NOISE Estimation Criteria of Signal Resolution Signal Resolution by Woodward Criterion Statistical Criterion of Signal Resolution Conclusions References APPENDIX I: Delta Function APPENDIX II: Correlation Function and Energy Spectrum of Noise Modulation Function NOTATION INDEX INDEX
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Includes bibliographical references and index.

PROBABILITY AND STATISTICS
Probability: Basic Concepts
Random Variables
Stochastic Processes
Correlation Function
Spectral Density
Statistical Characteristics
Conclusions
References
CLASSICAL AND MODERN APPROACHES TO SIGNAL DETECTION THEORY
Gaussian Approach
Markov Approach
Bayes' Decision-Making Rule
Unbiased and Invariant Decision-Making Rules
Mini-Max Decision-Making Rule
Sequential Signal Detection
Signal Detection in Non-Gaussian Noise
Non-Parametric Signal Detection
Conclusions
References
MAIN CHARACTERISTICS OF MULTIPLICATIVE NOISE
Classification of the Noise and Interference
Sources of the Multiplicative Noise
Classification and Main Properties of Multiplicative Noise
Correlation Function and Energy Spectrum of Multiplicative Noise
Generalized Statistical Model of Multiplicative Noise
Conclusions
References
STATISTICAL CHARACTERISTICS OF SIGNALS UNDER THE STIMULUS OF MULTIPLICATIVE NOISE
Deterministic and Quasideterministic Multiplicative Noise
Stationary Fluctuating Multiplicative Noise
Ensemble and Individual Realizations of the Signal
Probability Distribution Density of the Signal in the Additive Gaussian Noise under the Stimulus of Multiplicative Noise
Multivariate Probability Distribution Density of Instantaneous Values of the Signal under the Stimulus of Fluctuating Multiplicative Noise
Conclusions
References
MAIN THEORETICAL PRINCIPLES OF THE GENERALIZED APPROACH TO SIGNAL PROCESSING UNDER THE STIMULUS OF MULTIPLICATIVE NOISE
Basic Concepts
Criticism
Initial Premises
Likelihood Ratio
Engineering Interpretation
Generalized Detector
Distribution Law
Conclusions
References
GENERALIZED APPROACH TO SIGNAL PROCESSING UNDER THE STIMULUS OF MULTIPLICATIVE NOISE AND LINEAR SYSTEMS
Signal Characteristics at the Output of Linear System of the Generalized Detector under the Stimulus of Multiplicative Noise
Signal Characteristics at the Generalized Detector Output under under the Stimulus of Multiplicative Noise
Signal Noise Component for Some Types of Signals
Signal Noise Component under the Stimulus of the Slow and Rapid Multiplicative Noise
Signal Distribution Law under the Stimulus of Multiplicative Noise
Conclusions
References
GENERALIZED APPROACH TO SIGNAL DETECTION IN THE PRESENCE OF MULTIPLICATIVE AND ADDITIVE GAUSSIAN NOISE
Statistical Characteristics of Signals at the Output of the Generalized Detector
Detection Performances of the Generalized Detector
Known Correlation Function of the Multiplicative Noise
One-Channel Generalized Detector
Diversity Signal Detection
Conclusions
References
SIGNAL PARAMETER MEASUREMENT PRECISION
A Single Signal Parameter Measurement under a Combined Stimulus of Weak Multiplicative and Additive Gaussian Noise
Simultaneous Measurement of Two Signal Parameters under a Combined Stimulus of Weak Multiplicative and Additive Gaussian Noise
A Single Parameter Measurement under a Combined Stimulus of High Multiplicative and Additive Gaussian Noise
Conclusions
References
SIGNAL RESOLUTION UNDER THE GENERALIZED APPROACH TO SIGNAL PROCESSING IN THE PRESENCE OF NOISE
Estimation Criteria of Signal Resolution
Signal Resolution by Woodward Criterion
Statistical Criterion of Signal Resolution
Conclusions
References
APPENDIX I: Delta Function
APPENDIX II: Correlation Function and Energy Spectrum of Noise Modulation Function
NOTATION INDEX
INDEX

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