Intelligent Signal Processing

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Publisher : Wiley-IEEE Press
ISBN 13 :
Total Pages : 610 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Intelligent Signal Processing by : Simon Haykin

Download or read book Intelligent Signal Processing written by Simon Haykin and published by Wiley-IEEE Press. This book was released on 2001-01-15 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: "IEEE Press is proud to present the first selected reprint volume devoted to the new field of intelligent signal processing (ISP). ISP differs fundamentally from the classical approach to statistical signal processing in that the input-output behavior of a complex system is modeled by using "intelligent" or "model-free" techniques, rather than relying on the shortcomings of a mathematical model. Information is extracted from incoming signal and noise data, making few assumptions about the statistical structure of signals and their environment. Intelligent Signal Processing explores how ISP tools address the problems of practical neural systems, new signal data, and blind fuzzy approximators. The editors have compiled 20 articles written by prominent researchers covering 15 diverse, practical applications of this nascent topic, exposing the reader to the signal processing power of learning and adaptive systems. This essential reference is intended for researchers, professional engineers, and scientists working in statistical signal processing and its applications in various fields such as humanistic intelligence, stochastic resonance, financial markets, optimization, pattern recognition, signal detection, speech processing, and sensor fusion. Intelligent Signal Processing is also invaluable for graduate students and academics with a background in computer science, computer engineering, or electrical engineering. About the Editors Simon Haykin is the founding director of the Communications Research Laboratory at McMaster University, Hamilton, Ontario, Canada, where he serves as university professor. His research interests include nonlinear dynamics, neural networks and adaptive filters and their applications in radar and communications systems. Dr. Haykin is the editor for a series of books on "Adaptive and Learning Systems for Signal Processing, Communications and Control" (Publisher) and is both an IEEE Fellow and Fellow of the Royal Society of Canada. Bart Kosko is a past director of the University of Southern California's (USC) Signal and Image Processing Institute. He has authored several books, including Neural Networks and Fuzzy Systems, Neural Networks for Signal Processing (Publisher, copyright date) and Fuzzy Thinking (Publisher, copyright date), as well as the novel Nanotime (Publisher, copyright date). Dr. Kosko is an elected governor of the International Neural Network Society and has chaired many neural and fuzzy system conferences. Currently, he is associate professor of electrical engineering at USC."

Advances in Signal Processing and Intelligent Recognition Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3319049607
Total Pages : 607 pages
Book Rating : 4.01/5 ( download)

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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 Science & Business Media. This book was released on 2014-02-14 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.

Neural Networks for Intelligent Signal Processing

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Publisher :
ISBN 13 : 9814486469
Total Pages : pages
Book Rating : 4.60/5 ( download)

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Book Synopsis Neural Networks for Intelligent Signal Processing by :

Download or read book Neural Networks for Intelligent Signal Processing written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Systems and Signal Processing in Power Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 3540731709
Total Pages : 384 pages
Book Rating : 4.02/5 ( download)

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Book Synopsis Intelligent Systems and Signal Processing in Power Engineering by : Abhisek Ukil

Download or read book Intelligent Systems and Signal Processing in Power Engineering written by Abhisek Ukil and published by Springer Science & Business Media. This book was released on 2007-09-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly experienced author sets out to build a bridge between two inter-disciplinary power engineering practices. The book looks into two major fields used in modern power systems: intelligent systems and the signal processing. The intelligent systems section comprises fuzzy logic, neural network and support vector machine. The author looks at relevant theories on the topics without assuming much particular background. Following the theoretical basics, he studies their applications in various problems in power engineering, like, load forecasting, phase balancing, or disturbance analysis.

Signal Processing for Intelligent Sensor Systems with MATLAB®

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Publisher : CRC Press
ISBN 13 : 1439879508
Total Pages : 684 pages
Book Rating : 4.04/5 ( download)

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Book Synopsis Signal Processing for Intelligent Sensor Systems with MATLAB® by : David C. Swanson

Download or read book Signal Processing for Intelligent Sensor Systems with MATLAB® written by David C. Swanson and published by CRC Press. This book was released on 2011-07-21 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections: Fundamentals of Digital Signal Processing, Frequency Domain Processing, Adaptive System Identification and Filtering, Wavenumber Sensor Systems, and Signal Processing Applications. Taking an informal, application-based approach and using a tone that is more engineer-to-engineer than professor-to-student, this revamped second edition enhances many of the features that made the original so popular. This includes retention of key algorithms and development methodologies and applications, which are creatively grouped in a way that differs from most comparable texts, to optimize their use. New for the Second Edition: Inclusion of more solved problems Web access to a large collection of MATLAB® scripts used to support data graphs presented throughout the book Additional coverage of more audio engineering, transducers, and sensor networking technology A new chapter on Digital Audio processing reflects a growing interest in digital surround sound (5.1 audio) techniques for entertainment, home theaters, and virtual reality systems New sections on sensor networking, use of meta-data architectures using XML, and agent-based automated data mining and control Serving dual roles as both a learning resource and a field reference on sensor system networks, this book progressively reveals digestible nuggets of critical information to help readers quickly master presented algorithms and adapt them to meet their requirements. It illustrates the current trend toward agile development of web services for wide area sensor networking and intelligent processing in the sensor system networks that are employed in homeland security, business, and environmental and demographic information systems.

Intelligent Speech Signal Processing

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Publisher : Academic Press
ISBN 13 : 0128181303
Total Pages : 210 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Intelligent Speech Signal Processing by : Nilanjan Dey

Download or read book Intelligent Speech Signal Processing written by Nilanjan Dey and published by Academic Press. This book was released on 2019-06-15 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, development, and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing. Highlights different data analytics techniques in speech signal processing, including machine learning, and data mining Illustrates different applications and challenges across the design, implementation, and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks

Intelligent Signal Processing

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Publisher :
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.46/5 ( download)

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Book Synopsis Intelligent Signal Processing by : Simon S. Haykin

Download or read book Intelligent Signal Processing written by Simon S. Haykin and published by . This book was released on 1998 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Signal Processing and Intelligent Recognition Systems

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Publisher : Springer Nature
ISBN 13 : 9811548285
Total Pages : 414 pages
Book Rating : 4.84/5 ( download)

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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 Nature. This book was released on 2020-04-30 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Symposium on Advances in Signal Processing and Intelligent Recognition Systems, SIRS 2019, held in Trivandrum, India, in December 2019. The 19 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 63 submissions. The papers cover wide research fields including information retrieval, human-computer interaction (HCI), information extraction, speech recognition.

Power Systems Signal Processing for Smart Grids

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Publisher : John Wiley & Sons
ISBN 13 : 1118639235
Total Pages : 400 pages
Book Rating : 4.38/5 ( download)

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Book Synopsis Power Systems Signal Processing for Smart Grids by : Paulo Fernando Ribeiro

Download or read book Power Systems Signal Processing for Smart Grids written by Paulo Fernando Ribeiro and published by John Wiley & Sons. This book was released on 2013-09-20 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power and energy engineering systems, showing many different techniques applied to typical and expected system conditions with practical power system examples. Surveying all recent advances on DSP for power systems, this book enables engineers and researchers to understand the current state of the art and to develop new tools. It presents: an overview on the power system and electric signals, with description of the basic concepts of DSP commonly found in power system problems the application of several signal processing tools to problems, looking at power signal estimation and decomposition, pattern recognition techniques, detection of the power system signal variations description of DSP in relation to measurements, power quality, monitoring, protection and control, and wide area monitoring a companion website with real signal data, several Matlab codes with examples, DSP scripts and samples of signals for further processing, understanding and analysis Practicing power systems engineers and utility engineers will find this book invaluable, as will researchers of electrical power and energy systems, postgraduate electrical engineering students, and staff at utility companies.

Intelligent Sensor Networks

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Publisher : CRC Press
ISBN 13 : 1439892822
Total Pages : 674 pages
Book Rating : 4.24/5 ( download)

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Book Synopsis Intelligent Sensor Networks by : Fei Hu

Download or read book Intelligent Sensor Networks written by Fei Hu and published by CRC Press. This book was released on 2012-12-15 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts.