Alan V. Oppenheim Poradie kníh (chronologicky)

For upper-level undergraduate courses in deterministic and stochastic signals and system engineering, this comprehensive text builds on foundational courses in time- and frequency-domain analysis of signals and systems, as well as probability. Aimed at upper-level undergraduates and beginning graduate students in engineering and applied sciences, it pioneers a novel course of study that bridges introductory and advanced subjects. The text reviews properties and representations of deterministic signals and systems, covering group delay and state-space model behavior. It also introduces correlation functions and power spectral densities for 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. Emphasizing model-based approaches to inference, it addresses state estimation, signal estimation, and detection. The book explores concepts and tools relevant across various fields, including signal processing, control, communication, time-series analysis, financial engineering, and biomedicine. This flexible and long-awaited text is suitable for a rigorous course in a wide range of engineering and applied science curricula.

Essential principles, practical examples, current applications, and leading-edge research. In this book, Thomas F. Quatieri presents the field's most intensive, up-to-date tutorial and reference on discrete-time speech signal processing. Building on his MIT graduate course, he introduces key principles, essential applications, and state-of-the-art research, and he identifies limitations that point the way to new research opportunities. Quatieri provides an excellent balance of theory and application, beginning with a complete framework for understanding discrete-time speech signal processing. Along the way, he presents important advances never before covered in a speech signal processing text book, including sinusoidal speech processing, advanced time-frequency analysis, and nonlinear aeroacoustic speech production modeling. Coverage includes: The book's in-depth applications coverage includes speech coding, enhancement, and modification; speaker recognition; noise reduction; signal restoration; dynamic range compression, and more. Principles of Discrete-Time Speech Processing also contains an exceptionally complete series of examples and Matlab exercises, all carefully integrated into the book's coverage of theory and applications.

Presents the knowledge necessary for an appreciation of the wide scope of applications for discrete-time signal processing and a foundation for contributing to future developments in this technology. DLC: Signal processing--Mathematics.

This volume provides a firm foundation in the most important methods of modern signal and systems analysis. Develops in parallel the methods of analysis for continuous-time and discrete-time signals and systems.

In response to the recent growth of interest in polyspectra, this timely text provides an introduction to signal processing methods that are based on polyspectra and cumulants concepts. KEY The emphasis of the book is placed on the presentation of signal processing tools for use in situations where the more common power spectrum estimation techniques fall short. This manual will be valuable to practicing engineers who need an introduction to polyspectra from a signal processing perspective.

The material in this book is intended as a one-semester course in speech processing. The purpose of this text is to show how digital signal processing techniques can be applied to problems related to speech communication. The book gives an extensive description of the physical basis for speech coding including fourier analysis, digital representation and digital and time domain models of the wave form. It goes on to discuss homomorphic speech processing, linear predictive coding and digital processing for machine communication by voice.