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Introduction to Random Signals and Noise (Record no. 562)

MARC details
000 -LEADER
fixed length control field 03563nam a2200229Ia 4500
001 - CONTROL NUMBER
control field 0002131
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190318113335.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170602s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9788126521630
028 ## - PUBLISHER NUMBER
Qualifying information 2016
Source Allied Informatics, Jaipur
040 ## - CATALOGING SOURCE
Language of cataloging English
Original cataloging agency BSDU
Transcribing agency BSDU
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.382 2
Item number ETT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Etten, Wim C van
245 #0 - TITLE STATEMENT
Title Introduction to Random Signals and Noise
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Wiley India Pvt. Ltd. India
Place of publication, distribution, etc. New Delhi
Date of publication, distribution, etc. 2015,c2005
300 ## - PHYSICAL DESCRIPTION
Extent 255
500 ## - GENERAL NOTE
General note This book presents a clear introduction to the concept of stochastic processes and its applications to random signals and noise. It has on one hand a firm mathematical foundation for senior undergraduates and graduates, and on the other hand it introduces practical subjects and applications that practicing engineers find useful. The book is written by an electrical engineer, and the examples are taken from that discipline. It considers the basic definitions of probability density functions and describes stochastic processes in the frequency domain. The book illustrates theoretical concepts with practical examples, covering detection and optimal filtering.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Contents<br/>Preface.<br/><br/>1 Introduction.<br/><br/>• Random Signals and Noise.<br/><br/>• Modelling.<br/><br/>• The Concept of a Stochastic Process.<br/><br/>• Summary.<br/><br/>2 Stochastic Processes.<br/><br/>• 2.1 Stationary Processes.<br/><br/>• 2.2 Correlation Functions.<br/><br/>• 2.3 Gaussian Processes.<br/><br/>• 2.4 Complex Processes.<br/><br/>• 2.5 Discrete-Time Processes.<br/><br/>• 2.6 Summary.<br/><br/>• 2.7 Problems.<br/><br/>3 Spectra of Stochastic Processes.<br/><br/>• 3.1 The Power Spectrum.<br/><br/>• 3.2 The Bandwidth of a Stochastic Process.<br/><br/>• 3.3 The Cross-Power Spectrum.<br/><br/>• 3.4 Modulation of Stochastic Processes.<br/><br/>• 3.5 Sampling and Analogue-To-Digital Conversion.<br/><br/>• 3.6 Spectrum of Discrete-Time Processes.<br/><br/>• 3.7 Summary.<br/><br/>• 3.8 Problems.<br/><br/>4. Linear Filtering of Stochastic Processes.<br/><br/>• 4.1 Basics of Linear Time-Invariant Filtering.<br/><br/>• 4.2 Time Domain Description of Filtering of Stochastic Processes.<br/><br/>• 4.3 Spectra of the Filter Output.<br/><br/>• 4.4 Noise Bandwidth.<br/><br/>• 4.5 Spectrum of a Random Data Signal.<br/><br/>• 4.6 Principles of Discrete-Time Signals and Systems.<br/><br/>• 4.7 Discrete-Time Filtering of Random Sequences.<br/><br/>• 4.8 Summary.<br/><br/>• 4.9 Problems.<br/><br/>5 Bandpass Processes.<br/><br/>• 5.1 Description of Deterministic Bandpass Signals.<br/><br/>• 5.2 Quadrature Components of Bandpass Processes.<br/><br/>• 5.3 Probability Density Functions of the Envelope and Phase of Bandpass Noise.<br/><br/>• 5.4 Measurement of Spectra.<br/><br/>• 5.5 Sampling of Bandpass Processes.<br/><br/>• 5.6 Summary.<br/><br/>• 5.7 Problems.<br/><br/>6 Noise in Networks and Systems.<br/><br/>• 6.1 White and Coloured Noise.<br/><br/>• 6.2 Thermal Noise in Resistors.<br/><br/>• 6.3 Thermal Noise in Passive Networks.<br/><br/>• 6.4 System Noise.<br/><br/>• 6.5 Summary.<br/><br/>• 6.6 Problems.<br/><br/>7 Detection and Optimal Filtering.<br/><br/>• 7.1 Signal Detection.<br/><br/>• 7.2 Filters that Maximize the Signal-to-Noise Ratio.<br/><br/>• 7.3 The Correlation Receiver.<br/><br/>• 7.4 Filters that Minimize the Mean-Squared Error.<br/><br/>• 7.5 Summary.<br/><br/>• 7.6 Problems.<br/><br/>8 Poisson Processes and Shot Noise.<br/><br/>• 8.1 Introduction.<br/><br/>• 8.2 The Poisson Distribution.<br/><br/>• 8.3 The Homogeneous Poisson Process.<br/><br/>• 8.4 Inhomogeneous Poisson Processes.<br/><br/>• 8.5 The Random-Pulse Process.<br/><br/>• 8.6 Summary.<br/><br/>• 8.7 Problems.<br/><br/>References.<br/><br/>Further Reading.<br/><br/>Appendices.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electronics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     BSDU Knowledge Resource Center, Jaipur BSDU Knowledge Resource Center, Jaipur 12/10/2016 619.00   621.382 2 ETT 002131 02/12/2020 619.00 06/02/2017 Books
    Dewey Decimal Classification     BSDU Knowledge Resource Center, Jaipur BSDU Knowledge Resource Center, Jaipur 12/10/2016 619.00   621.382 2 ETT 002132 02/12/2020 619.00 06/02/2017 Books