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Beschreibung
For upper-level undergraduate courses in deterministic and stochastic signals and system engineeringAn Integrative Approach to Signals, Systems and InferenceSignals, 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.
For upper-level undergraduate courses in deterministic and stochastic signals and system engineeringAn Integrative Approach to Signals, Systems and InferenceSignals, 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.
Inhaltsverzeichnis

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

2.3.3 The Group Delay of 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

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 Models

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

Details
Erscheinungsjahr: 2017
Fachbereich: Nachrichtentechnik
Genre: Importe, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781292156200
ISBN-10: 1292156201
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Oppenheim, Alan
Oppenheim, Alan V
Verghese, George C.
Auflage: 1. Auflage
Hersteller: Pearson
Pearson Business
Pearson Education Limited
Verantwortliche Person für die EU: Financial Times Prent., St.-Martin-Str. 82, D-81541 München, salesde@pearson.com
Maße: 235 x 178 x 33 mm
Von/Mit: Alan Oppenheim (u. a.)
Erscheinungsdatum: 19.01.2017
Gewicht: 1,042 kg
Artikel-ID: 110086501

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