Download or read book Artificial Neural Networks for Digital Signal Processing Applications written by Sanjay Kumar Jha and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Applied Neural Networks for Signal Processing written by Fa-Long Luo and published by Cambridge University Press. This book was released on 1998 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to the use of neural networks in signal processing.
Download or read book Handbook of Neural Network Signal Processing written by Yu Hen Hu and published by CRC Press. This book was released on 2018-10-03 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of neural networks is permeating every area of signal processing. They can provide powerful means for solving many problems, especially in nonlinear, real-time, adaptive, and blind signal processing. The Handbook of Neural Network Signal Processing brings together applications that were previously scattered among various publications to provide an up-to-date, detailed treatment of the subject from an engineering point of view. The authors cover basic principles, modeling, algorithms, architectures, implementation procedures, and well-designed simulation examples of audio, video, speech, communication, geophysical, sonar, radar, medical, and many other signals. The subject of neural networks and their application to signal processing is constantly improving. You need a handy reference that will inform you of current applications in this new area. The Handbook of Neural Network Signal Processing provides this much needed service for all engineers and scientists in the field.
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.
Download or read book Machine Learning in Signal Processing written by Sudeep Tanwar and published by CRC Press. This book was released on 2021-12-10 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Download or read book Applications of Neural Networks in Digital Signal Processing written by David Wayne Evans and published by . This book was released on 1989 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Neural Networks for Signal Processing VIII written by Mahesan Niranjan and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1998 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is based on a workshop designed to serve as a forum for researchers from universities and industry who are interested in interdisciplinary research on neural networks for signal processing applications. Topics include: artificial neural networks; and speech processing.
Download or read book Digital Signal Processing Applications written by and published by . This book was released on 2004 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Artificial Neural Networks for Digital Signal Processing written by Sanjay Kumar Jha and published by . This book was released on 1990 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Digital Systems written by Vahid Asadpour and published by BoD – Books on Demand. This book was released on 2018-11-28 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an approach toward the applications and principle theory of digital signal processing in modern intelligent systems, biological engineering, telecommunication, and information technology. Assuming the reader already has prior knowledge of signal processing theory, this book will be useful for finding novel methods that fit special needs in digital signal processing (DSP). The combination of signal processing and intelligent systems in hybrid structures rather than serial or parallel processing provide the best mechanism that is a better fit with the comprehensive nature of human. This book is a practical reference that places the emphasis on principles and applications of DSP in digital systems. It covers a broad area of digital systems and applications of machine learning methods including convolutional neural networks, evolutionary algorithms, adaptive filters, spectral estimation, data compression and functional verification. The level of the book is ideal for professional DSP users and useful for graduate students who are looking for solutions to their design problems. The theoretical principles provide the required base for comprehension of the methods and application of modifications for the special needs of practical projects.
Download or read book Learning Algorithms written by P. Mars and published by CRC Press. This book was released on 2018-01-18 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decade, interest in computational or non-symbolic artificial intelligence has grown. The algorithms involved have the ability to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on the theory and applications of learning algorithms-stochastic learning automata; artificial neural networks; and genetic algorithms, evolutionary strategies, and evolutionary programming. Hybrid combinations of various algorithms are also discussed.Chapter 1 provides a brief overview of the topics discussed and organization of the text. The first half of the book (Chapters 2 through 4) discusses the basic theory of the learning algorithms, with one chapter devoted to each type. In the second half (Chapters 5 through 7), the emphasis is on a wide range of applications drawn from adaptive signal processing, system identification, and adaptive control problems in telecommunication networks.Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications is an excellent text for final year undergraduate and first year graduate students in engineering, computer science, and related areas. Professional engineers and everyone involved in the application of learning techniques in adaptive signal processing, control, and communications will find this text a valuable synthesis of theory and practical application of the most useful algorithms.
Download or read book Signal and Image Processing with Neural Networks written by Timothy Masters and published by . This book was released on 1994-07-25 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book to offer practical applications of neural networks to solve problems in digital signal processing and imaging. A highly practical book with a minimum of math and a wealth of examples. Disk includes a complete program for training, testing, and using neural networks along with C++ subroutines for all techniques discussed and source for the book's example code.
Download or read book Digital Signal Processing in Telecommunications written by Aníbal R. Figueiras-Vidal and published by Springer Science & Business Media. This book was released on 1996-10-11 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This publication deals with the application of advanced digital signal processing techniques and neural networks to various telecommunication problems. It consists of eight selected contributions to the European Project COST#229. The editor presents the latest research results in areas such as arrays, mobile channels, acoustic echo cancellation, speech coding and adaptive filtering in varying environments. He also gives an overview of new approaches to communication tasks by using new technologies. These include: image coding by means of fractals and neural networks and neural network channel equalisation. A deep insight is given into the present possibilities and research avenues in the area of information processing for communication applications. Digital Signal Processing in Telecommunications will be of particular interest to researchers and telecommunications professionals.
Download or read book Digital Signal Processing and Applications written by Dag Stranneby and published by Elsevier. This book was released on 2004-09-10 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: A uniquely practical DSP text, this book gives a thorough understanding of the principles and applications of DSP with a minimum of mathematics, and provides the reader with an introduction to DSP applications in telecoms, control engineering and measurement and data analysis systems.The new edition contains: - Expanded coverage of the basic concepts to aid understanding - New sections on filter sysnthesis, control theory and contemporary topics of speech and image recognition - Full solutions to all questions and exercises in the book Assuming the reader already has some prior knowledge of signal theory, this textbook will be highly suitable for undergraduate and postgraduate students in electrical and electronic engineering taking introductory and advanced courses in DSP, as well as courses in communications and control systems engineering. It will also prove an invaluable introduction to DSP and its applications for the professional engineer. - Expanded coverage of the basic concepts to aid understanding, along with a wide range of DSP applications - New textbook features included throughout, including learning objectives, summary sections, exercises and worked examples to increase accessibility of the text - Full solutions to all questions and exercises included in the book
Download or read book Applications of Digital Signal Processing to Audio and Acoustics written by Mark Kahrs and published by Springer Science & Business Media. This book was released on 2005-12-11 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Karlheinz Brandenburg and Mark Kahrs With the advent of multimedia, digital signal processing (DSP) of sound has emerged from the shadow of bandwidth limited speech processing. Today, the main appli cations of audio DSP are high quality audio coding and the digital generation and manipulation of music signals. They share common research topics including percep tual measurement techniques and analysis/synthesis methods. Smaller but nonetheless very important topics are hearing aids using signal processing technology and hardware architectures for digital signal processing of audio. In all these areas the last decade has seen a significant amount of application oriented research. The topics covered here coincide with the topics covered in the biannual work shop on “Applications of Signal Processing to Audio and Acoustics”. This event is sponsored by the IEEE Signal Processing Society (Technical Committee on Audio and Electroacoustics) and takes place at Mohonk Mountain House in New Paltz, New York. A short overview of each chapter will illustrate the wide variety of technical material presented in the chapters of this book. John Beerends: Perceptual Measurement Techniques. The advent of perceptual measurement techniques is a byproduct of the advent of digital coding for both speech and high quality audio signals. Traditional measurement schemes are bad estimates for the subjective quality after digital coding/decoding. Listening tests are subject to sta tistical uncertainties and the basic question of repeatability in a different environment.
Download or read book Learning Approaches in Signal Processing written by Wan-Chi Siu and published by CRC Press. This book was released on 2018-12-07 with total page 678 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc.
Download or read book Digital Signal Processing DSP and Applications written by Dag Stranneby and published by Elsevier. This book was released on 2001-07-13 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a uniquely practical DSP text which places the emphasis on understanding the principles and applications of DSP with a minimum of mathematics. In one volume, it covers a broad area of digital signal processing systems such as A/D and D/A converters, adaptive filters, spectral estimation, neural networks, Kalman filters, fuzzy logic, data compression, error correction and DSP programming. Many courses will find that this book will replace several texts currently in use.The level is ideal for introductory university modules, and similar courses such as HNC/D. As DSP has come to be studied at a lower academic level over recent years this text meets a genuine need. It is also suitable for use on industrial training courses and ideal as a reference text for professionals.A readable introduction to the practical application of DSPBroad coverage of the subject means this will cover a typical undergraduate module in just one bookPractical focus with maths treated as a practical tool - not an advanced maths text
