Download or read book Signal Processing for Ge written by Jean-Luc Mari and published by Editions OPHRYS. This book was released on with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly sophisticated techniques are available for obtaining seismic sections that give an accurate description of subsurface heterogeneities. These techniques continue to benefit from the progress made in research by signal processing specialists. The aim of this book is to familiarize geologists and geophysicists with the basic concepts of signal processing used in seismic surveys. It shows the value of using a combination of tools to solve a given problem. Many of the examples in this book come from the latest research. Its goal is to improve understanding of the most common signal processing algorithms and to suggest a methodology for testing them. Sometimes, modeling with simple, well-known functions is a very useful way to understand the behavior of a transformation. In this way, we seek to provide the specialist with a critical approach for handling these algorithms. This book will encourage the exchange of information among geologists, geophysicists and signal processing researchers, and will provide them with invaluable technical know-how.
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.
Download or read book Use of Adaptive Signal Processing Techniques to Discriminate Between Coal Cutting and Rock Cutting written by Michael J. Pazuchanics and published by . This book was released on 1991 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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
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
Download or read book Communications Signal Processing and Systems written by Qilian Liang and published by Springer. This book was released on 2018-06-07 with total page 2798 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together papers presented at the 2017 International Conference on Communications, Signal Processing, and Systems (ICCSP 2017), which was held on July 14–17, 2017 in Harbin, China. Presenting the latest developments and discussing the interactions and links between these multidisciplinary fields, the book spans topics ranging from communications, signal processing and systems. It is aimed at undergraduate and graduate electrical engineering, computer science and mathematics students, researchers and engineers from academia and industry as well as government employees.
Download or read book Systolic Signal Processing Systems written by E. Swartzlander and published by CRC Press. This book was released on 1987-08-31 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about systolic signal processing systems: networks of signal processors with efficient data flow between the processors. It is written for students, engineers, and managers who wish a concise introduction to the key concepts and future directions of systolic processor architectures.
Download or read book Accelerator Data Path Synthesis for High Throughput Signal Processing Applications written by Werner Geurts and published by Springer Science & Business Media. This book was released on 2011-06-27 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications is the first book to show how to use high-level synthesis techniques to cope with the stringent timing requirements of complex high-throughput real-time signal and data processing. The book describes the state-of-the-art in architectural synthesis for complex high-throughput real-time processing. Unlike many other, the Synthesis approach used in this book targets an architecture style or an application domain. This approach is thus heavily application-driven and this is illustrated in the book by several realistic demonstration examples used throughout. Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications focuses on domains where application-specific high-speed solutions are attractive such as significant parts of audio, telecom, instrumentation, speech, robotics, medical and automotive processing, image and video processing, TV, multi-media, radar, sonar, etc. Moreover, it addresses mainly the steps above the traditional scheduling and allocation tasks which focus on scalar operations and data. Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications is of interest to researchers, senior design engineers and CAD managers both in academia and industry. It provides an excellent overview of what capabilities to expect from future practical design tools and includes an extensive bibliography.
Download or read book Matrix and Tensor Decompositions in Signal Processing Volume 2 written by Gérard Favier and published by John Wiley & Sons. This book was released on 2021-08-31 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided.
Download or read book Measurement While Drilling MWD Signal Analysis Optimization and Design written by Wilson Chin and published by John Wiley & Sons. This book was released on 2014-04-16 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trade magazines and review articles describe MWD in casualterms, e.g., positive versus negative pulsers, continuous wavesystems, drilling channel noise and attenuation, in very simpleterms absent of technical rigor. However, few trulyscientific discussions are available on existing methods, let alonethe advances necessary for high-data-rate telemetry. Withouta strong foundation building on solid acoustic principles, rigorousmathematics, and of course, fast, inexpensive and efficient testingof mechanical designs, low data rates will impose unacceptablequality issues to real-time formation evaluation for years tocome. This book promises to change all of this. The lead authorand M.I.T. educated scientist, Wilson Chin, and Yinao Su,Academician, Chinese Academy of Engineering, and other teammembers, have written the only book available that developsmud pulse telemetry from first principles, adapting sound acousticprinciples to rigorous signal processing and efficient wind tunneltesting. In fact, the methods and telemetry principlesdeveloped in the book were recently adopted by one of theworld’s largest industrial corporations in its mission toredefine the face of MWD. The entire engineering history for continuous wave telemetry iscovered: anecdotal stories and their fallacies, original hardwareproblems and their solutions, different noise mechanisms and theirsignal processing solutions, apparent paradoxes encountered infield tests and simple explanations to complicated questions, andso on, are discussed in complete “tell all” detail forstudents, research professors and professional engineersalike. These include signal processing algorithms, signalenhancement methods, and highly efficient “short” and“long wind tunnel” test methods, whose results can bedynamically re-scaled to real muds flowing at any speed. Amust read for all petroleum engineering professionals!
Download or read book GE INTERSIL Application Handbook written by and published by . This book was released on 1985 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Signal and Linear System Analysis written by Carlson and published by Allied Publishers. This book was released on 1992 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 386 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 Analysis and Interpretation of Range Images written by Ramesh C. Jain and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision researchers have been frustrated in their attempts to automatically derive depth information from conventional two-dimensional intensity images. Research on "shape from texture", "shape from shading", and "shape from focus" is still in a laboratory stage and had not seen much use in commercial machine vision systems. A range image or a depth map contains explicit information about the distance from the sensor to the object surfaces within the field of view in the scene. Information about "surface geometry" which is important for, say, three-dimensional object recognition is more easily extracted from "2 1/2 D" range images than from "2D" intensity images. As a result, both active sensors such as laser range finders and passive techniques such as multi-camera stereo vision are being increasingly utilized by vision researchers to solve a variety of problems. This book contains chapters written by distinguished computer vision researchers covering the following areas: Overview of 3D Vision Range Sensing Geometric Processing Object Recognition Navigation Inspection Multisensor Fusion A workshop report, written by the editors, also appears in the book. It summarizes the state of the art and proposes future research directions in range image sensing, processing, interpretation, and applications. The book also contains an extensive, up-to-date bibliography on the above topics. This book provides a unique perspective on the problem of three-dimensional sensing and processing; it is the only comprehensive collection of papers devoted to range images. Both academic researchers interested in research issues in 3D vision and industrial engineers in search of solutions to particular problems will find this a useful reference book.
Download or read book Mathematical Analysis Wavelets and Signal Processing written by Mourad Ismail and published by American Mathematical Soc.. This book was released on 1995 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the proceedings of an international conference held in Cairo, Egypt (January 1994). Mathematics and engineering discoveries, such as wavelets, multiresolution analysis, and subband coding schemes, caused rapid advancements in signal processing, necessitating an interdisciplinary approach. Contributors to this conference demonstrated that some traditional areas of mathematical analysis - sampling theory, approximation theory, and orthogonal polynomials - have proven extremely useful in solving various signal processing problems.
Download or read book Digital Signal Processing Applications written by and published by . This book was released on 1999 with total page 858 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optical Signal Processing written by Pankaj K. Das and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject "optical signal processing" can and should include all aspects of optics and signal processing. However, that is too large a scope for a textbook that, like this one, is intended as an introduc tion to the subject at a level suitable for first year graduate students of electrical engineering, physics, and optical engineering. There fore, the subject matter has been restricted. The book begins with basic background material on optics, signal processing, matrix alge bra, ultrasound and SAWs, and CCDs. One might argue about this choice of topics. For example, there already exist very good books on matrix algebra. However, matrix algebra is so important in sig nal processing, especially in connection with devices such as optical matrix processors, that it was felt that a review was essential. Also, the matrix algebra needed for systolic arrays and parallel computing has made great advances in recent years. My original intention was to write a single-volume textbook cov ering most of the fundamental concepts and applications of optical signal processing. However, it soon became apparent that the large amount of material to be included would make publication in a single volume impracticable. Therefore this volume treats the "fundamen tals" and a second volume will appear dealing with devices and applications. This textbook was stimulated by a set of short courses that I have directed and lectured since 1976, as well as regular courses that I have taught at Rensselaer Polytechnic Institute since 1974.
