Description
PEARSON Signals Systems And Inference 2017 Edition by Oppenheim & Verghese
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. PrefaceThe CoverAcknowledgmentsPrologue1. Signals and Systems1.1 Signals, Systems, Models, and Properties1.1.1 System Properties1.2 Linear, Time-Invariant Systems1.2.1 Impulse-Response Representation of LTI Systems1.2.2 Eigenfunction and Transform Representation of LTI Systems1.2.3 Fourier Transforms1.3 Deterministic Signals and Their Fourier Transforms1.3.1 Signal Classes and Their Fourier Transforms1.3.2 Parseval's Identity, Energy Spectral Density, and Deterministic Autocorrelation1.4 Bilateral Laplace and Z-Transforms1.4.1 The Bilateral z-Transform1.4.2 The Bilateral Laplace Transform1.5 Discrete-Time Processing of Continuous-Time Signals1.5.1 Basic Structure for DT Processing of CT Signals1.5.2 DT Filtering and Overall CT Response1.5.3 Nonideal D/C Converters1.6 Further ReadingProblemsBasic ProblemsAdvanced ProblemsExtension Problems2. Amplitude, Phase, and Group Delay2.1 Fourier Transform Magnitude and Phase2.2 Group Delay and the Effect of Nonlinear Phase2.2.1 Narrowband Input Signals2.2.2 Broadband Input Signals2.3 All-Pass and Minimum-Phase Systems2.3.1 All-Pass Systems2.3.2 Minimum-Phase Systems2.3.3 The Group Delay of Minimum-Phase Systems2.4 Spectral Factorization2.5 Further ReadingProblemsBasic ProblemsAdvanced ProblemsExtension Problems3. Pulse-Amplitude Modulation3.1 Baseband Pulse-Amplitude Modulation3.1.1 The Transmitted Signal3.1.2 The Received Signal3.1.3 Frequency-Domain Characterizations3.1.4 Intersymbol Interference at the Receiver3.2 Nyquist Pulses3.3 Passband Pulse-Amplitude Modulation3.3.1 Frequency-Shift Keying (FSK)3.3.2 Phase-Shift Keying (PSK)3.3.3 Quadrature-Amplitude Modulation (QAM)3.4 Further ReadingProblemsBasic ProblemsAdvanced ProblemsExtension Problems4. State-Space Models4.1 System Memory4.2 Illustrative Examples4.3 State-Space Models4.3.1 DT State-Space Models4.3.2 CT State-Space Models4.3.3 Defining Properties of State-Space Models4.4 State-Space Models from LTI Input-Output Models4.5 Equilibria and Linearization of Nonlinear State-Space Models4.5.1 Equilibrium4.5.2 Linearization4.6 Further ReadingProblemsBasic ProblemsAdvanced ProblemsExtension Problems5. LTI State-Space Models5.1 Continuous-Time and Discrete-Time LTI Models5.2 Zero-Input Response and Modal Representation5.2.1 Undriven CT Systems5.2.2 Undriven DT Systems5.2.3 Asymptotic Stability of LTI Systems5.3 General Response in Modal Coordinates5.3.1 Driven CT Systems5.3.2 Driven DT Systems5.3.3 Similarity Transformations and Diagonalization5.4 Transfer Functions, Hidden Modes, Reachability, and Observability5.4.1 Input-State-Output Structure of CT Systems5.4.2 Input-State-Output Structure of DT Systems5.5 Further Reading