Intelligent Methods In Signal Processing And Communications

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Intelligent Methods in Signal Processing and Communications

Author : Domingo DoCampo
Publisher : Springer Science & Business Media
ISBN 13 : 1461220181
Total Pages : 326 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Intelligent Methods in Signal Processing and Communications by : Domingo DoCampo

Download or read book Intelligent Methods in Signal Processing and Communications written by Domingo DoCampo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 129 6.2 Representation of hints. 131 6.3 Monotonicity hints .. . 134 6.4 Theory ......... . 139 6.4.1 Capacity results 140 6.4.2 Decision boundaries 144 6.5 Conclusion 145 6.6 References....... ... 146 7 Analysis and Synthesis Tools for Robust SPRness 147 C. Mosquera, J.R. Hernandez, F. Perez-Gonzalez 7.1 Introduction.............. 147 7.2 SPR Analysis of Uncertain Systems. 153 7.2.1 The Poly topic Case . 155 7.2.2 The ZP-Ball Case ...... . 157 7.2.3 The Roots Space Case ... . 159 7.3 Synthesis of LTI Filters for Robust SPR Problems 161 7.3.1 Algebraic Design for Two Plants ..... . 161 7.3.2 Algebraic Design for Three or More Plants 164 7.3.3 Approximate Design Methods. 165 7.4 Experimental results 167 7.5 Conclusions 168 7.6 References ..... . 169 8 Boundary Methods for Distribution Analysis 173 J.L. Sancho et aZ. 8.1 Introduction ............. . 173 8.1.1 Building a Classifier System . 175 8.2 Motivation ............. . 176 8.3 Boundary Methods as Feature-Set Evaluation 177 8.3.1 Results ................ . 179 8.3.2 Feature Set Evaluation using Boundary Methods: S- mary. . . . . . . . . . . . . . . . . . . .. . . 182 . . .

Intelligent Methods in Signal Processing and Communications

Author : Domingo Docampo
Publisher : Birkhauser
ISBN 13 : 9783764339609
Total Pages : 318 pages
Book Rating : 4.3/5 (396 download)

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Book Synopsis Intelligent Methods in Signal Processing and Communications by : Domingo Docampo

Download or read book Intelligent Methods in Signal Processing and Communications written by Domingo Docampo and published by Birkhauser. This book was released on 1997-01-01 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains 14 chapters on intelligent techniques applied to signal processing and communications engineering problems, based on topics presented at a June 1996 workshop held in Bayona, Vigo, Spain. Subjects include antenna arrays, spread spectrum, adaptive systems, bimetric identification, neural networks, nonlinear and chaotic systems, filter banks, and genetic algorithms. Of interest to scientists and practitioners in electrical and computer engineering. Annotation copyrighted by Book News, Inc., Portland, OR

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."

Machine Intelligence and Signal Analysis

Author : M. Tanveer
Publisher : Springer
ISBN 13 : 981130923X
Total Pages : 767 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Machine Intelligence and Signal Analysis by : M. Tanveer

Download or read book Machine Intelligence and Signal Analysis written by M. Tanveer and published by Springer. This book was released on 2018-08-07 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

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 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

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.

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

Machine Learning Methods for Signal, Image and Speech Processing

Author : M.A. Jabbar
Publisher : CRC Press
ISBN 13 : 1000794741
Total Pages : 257 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Machine Learning Methods for Signal, Image and Speech Processing by : M.A. Jabbar

Download or read book Machine Learning Methods for Signal, Image and Speech Processing written by M.A. Jabbar and published by CRC Press. This book was released on 2022-09-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.

Machine Intelligence and Signal Processing

Author : Sonali Agarwal
Publisher : Springer Nature
ISBN 13 : 981151366X
Total Pages : 466 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Machine Intelligence and Signal Processing by : Sonali Agarwal

Download or read book Machine Intelligence and Signal Processing written by Sonali Agarwal and published by Springer Nature. This book was released on 2020-02-25 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The topics covered include support vector machines (SVM) and variants like least-squares SVM (LS-SVM) and twin SVM (TWSVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved in processing big data and adapting the algorithms dynamically to improve the computational efficiency. Lastly, it describes recent developments in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing: electrocardiogram (ECG) and electroencephalogram (EEG).

Proceedings of the International Conference on Intelligent Systems and Signal Processing

Author : Rahul Kher
Publisher : Springer
ISBN 13 : 9811069778
Total Pages : 320 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Proceedings of the International Conference on Intelligent Systems and Signal Processing by : Rahul Kher

Download or read book Proceedings of the International Conference on Intelligent Systems and Signal Processing written by Rahul Kher and published by Springer. This book was released on 2018-01-18 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides insights into International Conference on Intelligent Systems and Signal Processing (ISSP 2017) held at G.H. Patel College of Engineering & Technology, Gujarat, India during March 24-25, 2017. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, computer vision and machine learning, big data and cloud computing and advanced intelligent power electronics and drives systems. 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 post graduate students across the globe.

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.

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.

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.

Digital Signal Processing in Power System Protection and Control

Author : Waldemar Rebizant
Publisher : Springer Science & Business Media
ISBN 13 : 085729802X
Total Pages : 324 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Digital Signal Processing in Power System Protection and Control by : Waldemar Rebizant

Download or read book Digital Signal Processing in Power System Protection and Control written by Waldemar Rebizant and published by Springer Science & Business Media. This book was released on 2011-07-28 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Signal Processing in Power System Protection and Control bridges the gap between the theory of protection and control and the practical applications of protection equipment. Understanding how protection functions is crucial not only for equipment developers and manufacturers, but also for their users who need to install, set and operate the protection devices in an appropriate manner. After introductory chapters related to protection technology and functions, Digital Signal Processing in Power System Protection and Control presents the digital algorithms for signal filtering, followed by measurement algorithms of the most commonly-used protection criteria values and decision-making methods in protective relays. A large part of the book is devoted to the basic theory and applications of artificial intelligence techniques for protection and control. Fuzzy logic based schemes, artificial neural networks, expert systems and genetic algorithms with their advantages and drawbacks are discussed. AI techniques are compared and it is also shown how they can be combined to eliminate the disadvantages and magnify the useful features of particular techniques. The information provided in Digital Signal Processing in Power System Protection and Control can be useful for protection engineers working in utilities at various levels of the electricity network, as well as for students of electrical engineering, especially electrical power engineering. It may also be helpful for other readers who want to get acquainted with and to apply the filtering, measuring and decision-making algorithms for purposes other than protection and control, everywhere fast and on-line signal analysis is needed for proper functioning of the apparatus.

Artificial Intelligence in Wireless Communications

Author : Thomas Warren Rondeau
Publisher : Artech House
ISBN 13 : 1607832356
Total Pages : 228 pages
Book Rating : 4.6/5 (78 download)

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Book Synopsis Artificial Intelligence in Wireless Communications by : Thomas Warren Rondeau

Download or read book Artificial Intelligence in Wireless Communications written by Thomas Warren Rondeau and published by Artech House. This book was released on 2009 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This cutting-edge resource offers practical overview of cognitive radio, a paradigm for wireless communications in which a network or a wireless node changes its transmission or reception parameters. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components. Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine. Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior.

Recent Trends in Communication and Intelligent Systems

Author : Aditya Kumar Singh Pundir
Publisher : Springer Nature
ISBN 13 : 9811601674
Total Pages : 220 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Recent Trends in Communication and Intelligent Systems by : Aditya Kumar Singh Pundir

Download or read book Recent Trends in Communication and Intelligent Systems written by Aditya Kumar Singh Pundir and published by Springer Nature. This book was released on 2021-04-16 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents best selected research papers presented at the International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2020), organized by Arya College of Engineering and IT, Jaipur, on 20-21 November 2020. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.