Intelligent Signal Processing

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Intelligent Signal Processing

Author : Simon Haykin
Publisher : Wiley-IEEE Press
ISBN 13 :
Total Pages : 610 pages
Book Rating : 4.3/5 (91 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."

Intelligent Speech Signal Processing

Author : Nilanjan Dey
Publisher : Academic Press
ISBN 13 : 0128181303
Total Pages : 210 pages
Book Rating : 4.1/5 (281 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 Systems and Signal Processing in Power Engineering

Author : Abhisek Ukil
Publisher : Springer Science & Business Media
ISBN 13 : 3540731709
Total Pages : 372 pages
Book Rating : 4.5/5 (47 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 372 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.

Neural Networks for Intelligent Signal Processing

Author :
Publisher :
ISBN 13 : 9814486469
Total Pages : pages
Book Rating : 4.8/5 (144 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:

Signal Processing for Intelligent Sensor Systems with MATLAB®

Author : David C. Swanson
Publisher : CRC Press
ISBN 13 : 1439879508
Total Pages : 684 pages
Book Rating : 4.4/5 (398 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.

Advances in Intelligent Signal Processing and Data Mining

Author : Petia Georgieva
Publisher : Springer
ISBN 13 : 3642286968
Total Pages : 354 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Intelligent Signal Processing and Data Mining by : Petia Georgieva

Download or read book Advances in Intelligent Signal Processing and Data Mining written by Petia Georgieva and published by Springer. This book was released on 2012-07-27 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.

Power Systems Signal Processing for Smart Grids

Author : Paulo Fernando Ribeiro
Publisher : John Wiley & Sons
ISBN 13 : 1118639235
Total Pages : 400 pages
Book Rating : 4.1/5 (186 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.

Advances in Signal Processing and Intelligent Recognition Systems

Author : Sabu M. Thampi
Publisher : Springer Science & Business Media
ISBN 13 : 3319049607
Total Pages : 612 pages
Book Rating : 4.3/5 (19 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 612 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.

Intelligent Signal Processing

Author : Simon S. Haykin
Publisher :
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.:/5 (437 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:

Intelligent Sensor Networks

Author : Fei Hu
Publisher : CRC Press
ISBN 13 : 1439892814
Total Pages : 676 pages
Book Rating : 4.4/5 (398 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 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, including compressive sensing and sampling, distributed signal processing, and intelligent signal learning. Presenting recent research results of world-renowned sensing experts, the book is organized into three parts: Machine Learning—describes the application of machine learning and other AI principles in sensor network intelligence—covering smart sensor/transducer architecture and data representation for intelligent sensors Signal Processing—considers the optimization of sensor network performance based on digital signal processing techniques—including cross-layer integration of routing and application-specific signal processing as well as on-board image processing in wireless multimedia sensor networks for intelligent transportation systems Networking—focuses on network protocol design in order to achieve an intelligent sensor networking—covering energy-efficient opportunistic routing protocols for sensor networking and multi-agent-driven wireless sensor cooperation Maintaining a focus on "intelligent" designs, the book details signal processing principles in sensor networks. It elaborates on critical platforms for intelligent sensor networks and illustrates key applications—including target tracking, object identification, and structural health monitoring. It also includes a paradigm for validating the extent of spatiotemporal associations among data sources to enhance data cleaning in sensor networks, a sensor stream reduction application, and also considers the use of Kalman filters for attack detection in a water system sensor network that consists of water level sensors and velocity sensors.

Advances in Signal Processing and Intelligent Recognition Systems

Author : Sabu M. Thampi
Publisher : Springer Nature
ISBN 13 : 9811548285
Total Pages : 414 pages
Book Rating : 4.8/5 (115 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.

Intelligent Audio Analysis

Author : Björn W. Schuller
Publisher : Springer Science & Business Media
ISBN 13 : 3642368069
Total Pages : 345 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Intelligent Audio Analysis by : Björn W. Schuller

Download or read book Intelligent Audio Analysis written by Björn W. Schuller and published by Springer Science & Business Media. This book was released on 2014-07-08 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the reader with the knowledge necessary for comprehension of the field of Intelligent Audio Analysis. It firstly introduces standard methods and discusses the typical Intelligent Audio Analysis chain going from audio data to audio features to audio recognition. Further, an introduction to audio source separation, and enhancement and robustness are given. After the introductory parts, the book shows several applications for the three types of audio: speech, music, and general sound. Each task is shortly introduced, followed by a description of the specific data and methods applied, experiments and results, and a conclusion for this specific task. The books provides benchmark results and standardized test-beds for a broader range of audio analysis tasks. The main focus thereby lies on the parallel advancement of realism in audio analysis, as too often today’s results are overly optimistic owing to idealized testing conditions, and it serves to stimulate synergies arising from transfer of methods and leads to a holistic audio analysis.

Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems

Author : E. Priya
Publisher : Springer Nature
ISBN 13 : 9811561419
Total Pages : 290 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems by : E. Priya

Download or read book Signal and Image Processing Techniques for the Development of Intelligent Healthcare Systems written by E. Priya and published by Springer Nature. This book was released on 2020-09-21 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning-based image analysis techniques, used in healthcare diagnostics. It highlights a range of data pre-processing methods used in signal processing for effective data mining in remote healthcare, and discusses pre-processing using filter techniques, noise removal, and contrast-enhanced methods for improving image quality. The book discusses the status quo of artificial intelligence in medical applications, as well as its future. Further, it offers a glimpse of feature extraction methods for reducing dimensionality and extracting discriminatory information hidden in biomedical signals. Given its scope, the book is intended for academics, researchers and practitioners interested in the latest real-world technological innovations.

Intelligent Computing for Interactive System Design

Author : Parisa Eslambolchilar
Publisher : ACM Books
ISBN 13 : 9781450390262
Total Pages : 472 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Intelligent Computing for Interactive System Design by : Parisa Eslambolchilar

Download or read book Intelligent Computing for Interactive System Design written by Parisa Eslambolchilar and published by ACM Books. This book was released on 2021-02-25 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Computing for Interactive System Design provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human-computer interfaces. These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts. This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain-computer interfaces, probabilistic mobile text entry, secure gestures, personal context from mobile phones, adaptive touch interfaces, and automotive user interfaces. The case studies chapters also highlight an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor inputs. A common theme throughout the case studies is ubiquitous support for humans in their daily professional or personal activities. In addition, the book provides walk-through examples of different DSP and ML techniques and their use in interactive systems. Common terms are defined, and information on practical resources is provided (e.g., software tools, data resources) for hands-on project work to develop and evaluate multimodal and multi-sensor systems. In a series of in-chapter commentary boxes, an expert on the legal and ethical issues explores the emergent deep concerns of the professional community, on how DSP and ML should be adopted and used in socially appropriate ways, to most effectively advance human performance during ubiquitous interaction with omnipresent computers. This carefully edited collection is written by international experts and pioneers in the fields of DSP and ML. It provides a textbook for students and a reference and technology roadmap for developers and professionals working on interaction design on emerging platforms.

Proceedings of the International e-Conference on Intelligent Systems and Signal Processing

Author : Falgun Thakkar
Publisher : Springer Nature
ISBN 13 : 9811621233
Total Pages : 799 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of the International e-Conference on Intelligent Systems and Signal Processing by : Falgun Thakkar

Download or read book Proceedings of the International e-Conference on Intelligent Systems and Signal Processing written by Falgun Thakkar and published by Springer Nature. This book was released on 2021-08-13 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.

Hybrid Image Processing Methods for Medical Image Examination

Author : Venkatesan Rajinikanth
Publisher : CRC Press
ISBN 13 : 1000300188
Total Pages : 177 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Hybrid Image Processing Methods for Medical Image Examination by : Venkatesan Rajinikanth

Download or read book Hybrid Image Processing Methods for Medical Image Examination written by Venkatesan Rajinikanth and published by CRC Press. This book was released on 2021-01-29 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: In view of better results expected from examination of medical datasets (images) with hybrid (integration of thresholding and segmentation) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes various image thresholding and segmentation methods which are essential for the development of such a hybrid processing tool. Further, this book presents the essential details, such as test image preparation, implementation of a chosen thresholding operation, evaluation of threshold image, and implementation of segmentation procedure and its evaluation, supported by pertinent case studies. Aimed at researchers/graduate students in the medical image processing domain, image processing, and computer engineering, this book: Provides broad background on various image thresholding and segmentation techniques Discusses information on various assessment metrics and the confusion matrix Proposes integration of the thresholding technique with the bio-inspired algorithms Explores case studies including MRI, CT, dermoscopy, and ultrasound images Includes separate chapters on machine learning and deep learning for medical image processing

Neural Networks for Intelligent Signal Processing

Author : Anthony Zaknich
Publisher : World Scientific
ISBN 13 : 9812383050
Total Pages : 510 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Neural Networks for Intelligent Signal Processing by : Anthony Zaknich

Download or read book Neural Networks for Intelligent Signal Processing written by Anthony Zaknich and published by World Scientific. This book was released on 2003 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough theoretical and practical introduction to the application of neural networks to pattern recognition and intelligent signal processing. It has been tested on students, unfamiliar with neural networks, who were able to pick up enough details to successfully complete their masters or final year undergraduate projects. The text also presents a comprehensive treatment of a class of neural networks called common bandwidth spherical basis function NNs, including the probabilistic NN, the modified probabilistic NN and the general regression NN.