Signals, Systems and Inference, Global Edition (häftad)
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Format
Häftad (Paperback)
Språk
Engelska
Antal sidor
608
Utgivningsdatum
2017-01-19
Upplaga
1
Förlag
Pearson
Medarbetare
Oppenheim, Alan / Verghese, George
Dimensioner
234 x 180 x 19 mm
Vikt
824 g
Antal komponenter
1
ISBN
9781292156200

Signals, Systems and Inference, Global Edition

av Alan V Oppenheim
Häftad,  Engelska, 2017-01-19
1118
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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 specialized 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 emphasized, in particular for state estimation, signal estimation, and signal detection.

The text explores ideas, methods and tools common to numerous fields involving signals, systems and inference: signal processing, control, communication, time-series analysis, financial engineering, biomedicine, and many others. Signals, Systems and Inference is a long-awaited and flexible text that can be used for a rigorous course in a broad range of engineering and applied science curricula.
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Innehållsförteckning

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 Parsevals 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-S...

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