Signals, Systems and Inference, EBook, Global Edition. (Record no. 9514)

MARC details
000 -LEADER
fixed length control field 11295nam a22005053i 4500
001 - CONTROL NUMBER
control field EBC5175096
003 - CONTROL NUMBER IDENTIFIER
control field MiAaPQ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20210921154944.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210914s2018 xx o ||||0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781292156217
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781292156200
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC5175096
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL5175096
035 ## - SYSTEM CONTROL NUMBER
System control number (CaPaEBR)ebr11478927
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1015885815
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
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Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK5102.5 .O674 2017
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3822
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Oppenheim, Alan.
245 10 - TITLE STATEMENT
Title Signals, Systems and Inference, EBook, Global Edition.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
264 #1 -
-- Harlow :
-- Pearson Education, Limited,
-- 2018.
264 #4 -
-- ©2019.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (606 pages)
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-- online resource
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505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Front Cover -- Title page -- Copyright page -- Contents -- Preface -- The Cover -- Acknowledgments -- Prologue -- 1. Signals and Systems -- 1.1 Signals, Systems, Models, and Properties -- 1.1.1 System Properties -- 1.2 Linear, Time-Invariant Systems -- 1.2.1 Impulse-Response Representation of LTI Systems -- 1.2.2 Eigenfunction and Transform Representation of LTI Systems -- 1.2.3 Fourier Transforms -- 1.3 Deterministic Signals and Their Fourier Transforms -- 1.3.1 Signal Classes and Their Fourier Transforms -- 1.3.2 Parseval's Identity, Energy Spectral Density, and Deterministic Autocorrelation -- 1.4 Bilateral Laplace and Z-Transforms -- 1.4.1 The Bilateral z -Transform -- 1.4.2 The Bilateral Laplace Transform -- 1.5 Discrete-Time Processing of Continuous-Time Signals -- 1.5.1 Basic Structure for DT Processing of CT Signals -- 1.5.2 DT Filtering and Overall CT Response -- 1.5.3 Nonideal D/C Converters -- 1.6 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 2. Amplitude, Phase, and Group Delay -- 2.1 Fourier Transform Magnitude and Phase -- 2.2 Group Delay and the Effect of Nonlinear Phase -- 2.2.1 Narrowband Input Signals -- 2.2.2 Broadband Input Signals -- 2.3 All-Pass and Minimum-Phase Systems -- 2.3.1 All-Pass Systems -- 2.3.2 Minimum-Phase Systems -- 2.4 Spectral Factorization -- 2.5 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 3. Pulse Amplitude Modulation -- 3.1 Baseband Pulse-Amplitude Modulation -- 3.1.1 The Transmitted Signal -- 3.1.2 The Received Signal -- 3.1.3 Frequency-Domain Characterizations -- 3.1.4 Intersymbol Interference at the Receiver -- 3.2 Nyquist Pulses -- 3.3 Passband Pulse-Amplitude Modulation -- 3.3.1 Frequency-Shift Keying (FSK) -- 3.3.2 Phase-Shift Keying (PSK) -- 3.3.3 Quadrature Amplitude Modulation (QAM) -- 3.4 Further Reading.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 4. State-Space Models -- 4.1 System Memory -- 4.2 Illustrative Examples -- 4.3 State-Space Models -- 4.3.1 DT State-Space Models -- 4.3.2 CT State-Space Models -- 4.3.3 Defining Properties of State-Space Models -- 4.4 State-Space Models from LTI Input-Output -- 4.5 Equilibria and Linearization of Nonlinear State-Space Models -- 4.5.1 Equilibrium -- 4.5.2 Linearization -- 4.6 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 5. LTI State-Space Models -- 5.1 Continuous-Time and Discrete-Time LTI Models -- 5.2 Zero-Input Response and Modal Representation -- 5.2.1 Undriven CT Systems -- 5.2.2 Undriven DT Systems -- 5.2.3 Asymptotic Stability of LTI Systems -- 5.3 General Response in Modal Coordinates -- 5.3.1 Driven CT Systems -- 5.3.2 Driven DT Systems -- 5.3.3 Similarity Transformations and Diagonalization -- 5.4 Transfer Functions, Hidden Modes, Reachability, and Observability -- 5.4.1 Input-State-Output Structure of CT Systems -- 5.4.2 Input-State-Output Structure of DT Systems -- 5.5 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 6. State Observers and State Feedback -- 6.1 Plant and Model -- 6.2 State Estimation and Observers -- 6.2.1 Real-Time Simulation -- 6.2.2 The State Observer -- 6.2.3 Observer Design -- 6.3 State Feedback Control -- 6.3.1 Open-Loop Control -- 6.3.2 Closed-Loop Control via LTI State Feedback -- 6.3.3 LTI State Feedback Design -- 6.4 Observer-Based Feedback Control -- 6.5 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 7. Probabilistic Models -- 7.1 The Basic Probability Model -- 7.2 Conditional Probability, Bayes' Rule, and Independence -- 7.3 Random Variables -- 7.4 Probability Distributions.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7.5 Jointly Distributed Random Variables -- 7.6 Expectations, Moments, and Variance -- 7.7 Correlation and Covariance for Bivariate Random Variables -- 7.8 A Vector-Space Interpretation of Correlation Properties -- 7.9 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 8. Estimation -- 8.1 Estimation of a Continuous Random Variable -- 8.2 From Estimates to the Estimator -- 8.2.1 Orthogonality -- 8.3 Linear Minimum Mean Square Error Estimation -- 8.3.1 Linear Estimation of One Random Variable from a Single Measurement of Anot -- 8.3.2 Multiple Measurements -- 8.4 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 9. Hypothesis Testing -- 9.1 Binary Pulse-Amplitude Modulation in Noise -- 9.2 Hypothesis Testing with Minimum Error Probability -- 9.2.1 Deciding with Minimum Conditional Probability of Error -- 9.2.2 MAP Decision Rule for Minimum Overall Probability of Error -- 9.2.3 Hypothesis Testing in Coded Digital Communication -- 9.3 Binary Hypothesis Testing -- 9.3.1 False Alarm, Miss, and Detection -- 9.3.2 The Likelihood Ratio Test -- 9.3.3 Neyman-Pearson Decision Rule and Receiver Operating Characteristic -- 9.4 Minimum Risk Decisions -- 9.5 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 10. Random Processes -- 10.1 Definition and Examples of a Random Process -- 10.2 First-and Second-Moment Characterization of Random Processes -- 10.3 Stationarity -- 10.3.1 Strict-Sense Stationarity -- 10.3.2 Wide-Sense Stationarity -- 10.3.3 Some Properties of WSS Correlation and Covariance Functions -- 10.4 Ergodicity -- 10.5 Linear Estimation of Random Processes -- 10.5.1 Linear Prediction -- 10.5.2 Linear FIR Filtering -- 10.6 LTI Filtering of WSS Processes -- 10.7 Further Reading -- Problems -- Basic Problems -- Advanced Problems.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Extension Problems -- 11. Power Spectral Density -- 11.1 Spectral Distribution of Expected Instantaneous Power -- 11.1.1 Power Spectral Density -- 11.1.2 Fluctuation Spectral Density -- 11.1.3 Cross-Spectral Density -- 11.2 Expected Time-Averaged Power Spectrum and the Einstein-Wiener-KhinchinTheorem -- 11.3 Applications -- 11.3.1 Revealing Cyclic Components -- 11.3.2 Modeling Filters -- 11.3.3 Whitening Filters -- 11.3.4 Sampling Bandlimited Random Processes -- 11.4 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 12. Signal Estimation -- 12.1 LMMSE Estimation for Random Variables -- 12.2 FIR Wiener Filters -- 12.3 The Unconstrained DT Wiener Filter -- 12.4 Causal DT Wiener Filtering -- 12.5 Optimal Observers and Kalman Filtering -- 12.5.1 Causal Wiener Filtering of a Signal Corrupted by Additive Noise -- 12.5.2 Observer Implementation of the Wiener Filter -- 12.5.3 Optimal State Estimates and Kalman Filtering -- 12.6 Estimation of CT Signals -- 12.7 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- 13. Signal Detection -- 13.1 Hypothesis Testing with Multiple Measurements -- 13.2 Detecting a Known Signal in I.I.D. Gaussian Noise -- 13.2.1 The Optimal Solution -- 13.2.2 Characterizing Performance -- 13.2.3 Matched Filtering -- 13.3 Extensions of Matched-Filter Detection -- 13.3.1 Infinite-Duration, Finite-Energy Signals -- 13.3.2 Maximizing SNR for Signal Detection in White Noise -- 13.3.3 Detection in Colored Noise -- 13.3.4 Continuous-Time Matched Filters -- 13.3.5 Matched Filtering and Nyquist Pulse Design -- 13.3.6 Unknown Arrival Time and Pulse Compression -- 13.4 Signal Discrimination in I.I.D. Gaussian Noise -- 13.5 Further Reading -- Problems -- Basic Problems -- Advanced Problems -- Extension Problems -- Bibliography -- Index -- A -- B -- C -- D -- E -- F.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- Y -- Z -- Back Cover.
520 ## - SUMMARY, ETC.
Summary, etc For upper-level undergraduate courses in deterministic and stochastic signals and system engineering An Integrative Approach to Signals, Systems and Inference Signals, Systems and Inference is a comprehensive text that builds on introductory courses in time- and frequency-domain analysis of signals and systems, and in probability. Directed primarily to upper-level undergraduates and beginning graduate students in engineering and applied science branches, this new textbook pioneers a novel course of study. Instead of the usual leap from broad introductory subjects to highly specialised advanced subjects, this engaging and inclusive text creates a study track for a transitional course.  Properties and representations of deterministic signals and systems are reviewed and elaborated on, including group delay and the structure and behavior of state-space models. The text also introduces and interprets correlation functions and power spectral densities for describing and processing random signals. Application contexts include pulse amplitude modulation, observer-based feedback control, optimum linear filters for minimum mean-square-error estimation, and matched filtering for signal detection. Model-based approaches to inference are emphasised, in particular for state estimation, signal estimation, and signal detection.  The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you will receive via email the code and instructions on how to access this product. Time limit The eBooks products do not have an expiry date. You will continue to access
520 8# - SUMMARY, ETC.
Summary, etc your digital ebook products whilst you have your Bookshelf installed.
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-- Description based on publisher supplied metadata and other sources.
590 ## - LOCAL NOTE (RLIN)
Local note Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Signal processing.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Verghese, George.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
Main entry heading Oppenheim, Alan
Title Signals, Systems and Inference, EBook, Global Edition
Place, publisher, and date of publication Harlow : Pearson Education, Limited,c2018
International Standard Book Number 9781292156200
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/iiserb/detail.action?docID=5175096">https://ebookcentral.proquest.com/lib/iiserb/detail.action?docID=5175096</a>
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        Central Library, IISER Bhopal Central Library, IISER Bhopal 21/09/2021   21/09/2021 21/09/2021 E-Books


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