Introduction to PCM Telemetering Systems, Third Edition summarizes the techniques and terminology used in sending data and control information between users and the instruments that collect and process the data.
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.
A complete guide to the full spectrum of fundamental radar signal processing systems-fully updated for the latest advancesThis thoroughly revised resource offers comprehensive coverage of foundational digital signal processing methods for both pulsed and FMCW radar.
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This text offers a comprehensive introduction to the theory of signals and systems and the way in which this theory is applied to the study of acoustic communication (both digital and analogue): the development of systems for producing, transmitting and processing speech and music signals.
This text offers a comprehensive introduction to the theory of signals and systems and the way in which this theory is applied to the study of acoustic communication (both digital and analogue): the development of systems for producing, transmitting and processing speech and music signals.
Designed to make life a little easier by providing all the theoretical background necessary to understand sound reproduction, backed up with practical examples.
Designed to make life a little easier by providing all the theoretical background necessary to understand sound reproduction, backed up with practical examples.
The Practical Guide to MPEG 4 offers an up to date introduction to this important interactive and multimedia compression standard (including MPEG-4 Part 10), with real examples and information as to how and where this new technology should be used.
The Practical Guide to MPEG 4 offers an up to date introduction to this important interactive and multimedia compression standard (including MPEG-4 Part 10), with real examples and information as to how and where this new technology should be used.
This book presents recent advances in three-dimensional (3D) imaging and display frameworks, encompassing three categories of 3D imaging and display technologies.
Compiled by an international array of musical and technical specialists, this book deals with some of the most important topics in modern musical signal processing.
Compiled by an international array of musical and technical specialists, this book deals with some of the most important topics in modern musical signal processing.
The rapid development in various fields of Digital Audio Effects, or DAFX, has led to new algorithms and this second edition of the popular book, DAFX: Digital Audio Effects has been updated throughout to reflect progress in the field.
The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data.
The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data.
Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields.
Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields.
A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systems Model-Based Processing: An Applied Subspace Identification Approach provides expert insight on developing models for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID) and enables readers to evaluate overall performance using validation and statistical analysis methods.
A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systems Model-Based Processing: An Applied Subspace Identification Approach provides expert insight on developing models for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID) and enables readers to evaluate overall performance using validation and statistical analysis methods.
