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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 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'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.

Signals, Systems and Inference, Global Edition

• 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