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Knowledge Based Signal Processing
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Book Synopsis Symbolic and Knowledge-based Signal Processing by : Alan V. Oppenheim
Download or read book Symbolic and Knowledge-based Signal Processing written by Alan V. Oppenheim and published by . This book was released on 1992 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at signal processors and computer scientists, this book of self-contained discussions explores how computer science can enhance the performance of signal processing systems and their design.
Book Synopsis Knowledge-based Signal Processing by : Gary E. Kopec
Download or read book Knowledge-based Signal Processing written by Gary E. Kopec and published by . This book was released on 1982 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Model-Based Signal Processing by : James V. Candy
Download or read book Model-Based Signal Processing written by James V. Candy and published by John Wiley & Sons. This book was released on 2005-10-27 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique treatment of signal processing using a model-based perspective Signal processing is primarily aimed at extracting useful information, while rejecting the extraneous from noisy data. If signal levels are high, then basic techniques can be applied. However, low signal levels require using the underlying physics to correct the problem causing these low levels and extracting the desired information. Model-based signal processing incorporates the physical phenomena, measurements, and noise in the form of mathematical models to solve this problem. Not only does the approach enable signal processors to work directly in terms of the problem's physics, instrumentation, and uncertainties, but it provides far superior performance over the standard techniques. Model-based signal processing is both a modeler's as well as a signal processor's tool. Model-Based Signal Processing develops the model-based approach in a unified manner and follows it through the text in the algorithms, examples, applications, and case studies. The approach, coupled with the hierarchy of physics-based models that the author develops, including linear as well as nonlinear representations, makes it a unique contribution to the field of signal processing. The text includes parametric (e.g., autoregressive or all-pole), sinusoidal, wave-based, and state-space models as some of the model sets with its focus on how they may be used to solve signal processing problems. Special features are provided that assist readers in understanding the material and learning how to apply their new knowledge to solving real-life problems. * Unified treatment of well-known signal processing models including physics-based model sets * Simple applications demonstrate how the model-based approach works, while detailed case studies demonstrate problem solutions in their entirety from concept to model development, through simulation, application to real data, and detailed performance analysis * Summaries provided with each chapter ensure that readers understand the key points needed to move forward in the text as well as MATLAB(r) Notes that describe the key commands and toolboxes readily available to perform the algorithms discussed * References lead to more in-depth coverage of specialized topics * Problem sets test readers' knowledge and help them put their new skills into practice The author demonstrates how the basic idea of model-based signal processing is a highly effective and natural way to solve both basic as well as complex processing problems. Designed as a graduate-level text, this book is also essential reading for practicing signal-processing professionals and scientists, who will find the variety of case studies to be invaluable. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department
Book Synopsis Signal Processing Techniques for Knowledge Extraction and Information Fusion by : Danilo Mandic
Download or read book Signal Processing Techniques for Knowledge Extraction and Information Fusion written by Danilo Mandic and published by Springer Science & Business Media. This book was released on 2008-03-23 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the latest research achievements from signal processing and related disciplines, consolidating existing and proposed directions in DSP-based knowledge extraction and information fusion. The book includes contributions presenting both novel algorithms and existing applications, emphasizing on-line processing of real-world data. Readers discover applications that solve biomedical, industrial, and environmental problems.
Book Synopsis Tools for Knowledge-based Signal Processing with Applications to System Identification by : Peter A. J. Nagy
Download or read book Tools for Knowledge-based Signal Processing with Applications to System Identification written by Peter A. J. Nagy and published by . This book was released on 1992 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Fault Detection and Diagnosis in Industrial Systems by : L.H. Chiang
Download or read book Fault Detection and Diagnosis in Industrial Systems written by L.H. Chiang and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.
Download or read book ADAPT written by Edmond Stevens Cooley and published by . This book was released on 1988 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Intelligent Decision Support Systems by : Surekha Borra
Download or read book Intelligent Decision Support Systems written by Surekha Borra and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-10-21 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).
Book Synopsis Knowledge Based Radar Detection, Tracking and Classification by : Fulvio Gini
Download or read book Knowledge Based Radar Detection, Tracking and Classification written by Fulvio Gini and published by John Wiley & Sons. This book was released on 2008-06-09 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the technology for the next generation of radar systems Here is the first book that brings together the key concepts essential for the application of Knowledge Based Systems (KBS) to radar detection, tracking, classification, and scheduling. The book highlights the latest advances in both KBS and radar signal and data processing, presenting a range of perspectives and innovative results that have set the stage for the next generation of adaptive radar systems. The book begins with a chapter introducing the concept of Knowledge Based (KB) radar. The remaining nine chapters focus on current developments and recent applications of KB concepts to specific radar functions. Among the key topics explored are: Fundamentals of relevant KB techniques KB solutions as they apply to the general radar problem KBS applications for the constant false-alarm rate processor KB control for space-time adaptive processing KB techniques applied to existing radar systems Integrated end-to-end radar signals Data processing with overarching KB control All chapters are self-contained, enabling readers to focus on those topics of greatest interest. Each one begins with introductory remarks, moves on to detailed discussions and analysis, and ends with a list of references. Throughout the presentation, the authors offer examples of how KBS works and how it can dramatically improve radar performance and capability. Moreover, the authors forecast the impact of KB technology on future systems, including important civilian, military, and homeland defense applications. With chapters contributed by leading international researchers and pioneers in the field, this text is recommended for both students and professionals in radar and sonar detection, tracking, and classification and radar resource management.
Book Synopsis Investigation, Development and Application of Knowledge Based Digital Signal Processing Methods for Enhancing Human EEGs by : Mark Tremaine Hellyar
Download or read book Investigation, Development and Application of Knowledge Based Digital Signal Processing Methods for Enhancing Human EEGs written by Mark Tremaine Hellyar and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Knowledge Based Signal Processing by : Gareth Loudon
Download or read book Advances in Knowledge Based Signal Processing written by Gareth Loudon and published by . This book was released on 1991 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in Signal Processing and Intelligent Recognition Systems by : Sabu M. Thampi
Download or read book Advances in Signal Processing and Intelligent Recognition Systems written by Sabu M. Thampi and published by Springer. This book was released on 2017-09-12 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Edited Volume gathers a selection of refereed and revised papers originally presented at the Third International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS’17), held on September 13–16, 2017 in Manipal, India. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. Taken together, they offer a valuable resource for all researchers and scientists engaged in the various fields of signal processing and related areas.
Book Synopsis Tools for Knowledge-Based Signal Processing with Applications to System Identification by :
Download or read book Tools for Knowledge-Based Signal Processing with Applications to System Identification written by and published by . This book was released on 1992 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Knowledge Based Signal Processing by : Alan V. Oppenheim
Download or read book Knowledge Based Signal Processing written by Alan V. Oppenheim and published by . This book was released on 1989 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research carried out under this contract is categorized under seven major topic areas. In all of these areas, the work and results have been thoroughly documented through the publication of technical reports, conference papers and journal articles. In Section II, a brief summary of the work in each of these topic areas is given. In Section III is a complete listing of all of the publications based on work supported in whole or in part under this contract. One publication has been selected as an example of each of the major topic areas, although it is not necessarily representative of the broad scope of the work under this topic. This set of papers is contained in the Appendix. Each of the publications selected has had, or is expected to have, a significant impact in the research community. Section IV is a complete list of technical reports based on work supported in whole or in part under this contract. Section V is a summary of honors and awards received during the life of this contract. Keywords: Symbolic signal processing, Signal reconstruction, Spectral analysis, Acoustic and sonar signal processing, Speech processing, Image and video processing, Signal modelling and short-time fourier analysis. (KR).
Book Synopsis Signal Processing for Neuroscientists by : Wim van Drongelen
Download or read book Signal Processing for Neuroscientists written by Wim van Drongelen and published by Elsevier. This book was released on 2006-12-18 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the ‘golden trio’ in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®. Multiple color illustrations are integrated in the text Includes an introduction to biomedical signals, noise characteristics, and recording techniques Basics and background for more advanced topics can be found in extensive notes and appendices A Companion Website hosts the MATLAB scripts and several data files: http://www.elsevierdirect.com/companion.jsp?ISBN=9780123708670
Book Synopsis Machine Learning for Signal Processing by : Max A. Little
Download or read book Machine Learning for Signal Processing written by Max A. Little and published by Oxford University Press, USA. This book was released on 2019 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.
Book Synopsis Knowledge-based Intelligent Watermarking and Signal Processing by : Ernesto Damiani
Download or read book Knowledge-based Intelligent Watermarking and Signal Processing written by Ernesto Damiani and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
