Signal Prediction With Input Identification

Author : Jer-Nan Juang
Publisher : Unknown
Page : 36 pages
File Size : 45,7 Mb
Release : 1999
Category : Data compression (Computer science)
ISBN : NASA:31769000634637

Get Book

Signal Prediction with Input Identification by Jer-Nan Juang Pdf

A novel coding technique is presented for signal prediction with applications including speech coding, system identification, and estimation of input excitation. The approach is based on the blind equalization method for speech signal processing in conjunction with the geometric subspace projection theory to formulate the basic prediction equation. The speech-coding problem is often divided into two parts, a linear prediction model and excitation input. The parameter coefficients of the linear predictor and the input excitation are solved simultaneously and recursively by a conventional recursive least-squares algorithm. The excitation input is computed by coding all possible outcomes into a binary notebook. The coefficients of the linear predictor and excitation, and the index of the codebook can then be used to represent the signal. In addition, a variable-frame concept is proposed to block the same excitation signal in sequence in order to reduce the storage size and increase the transmission rate. The results of this work can be easily extended to the problem of disturbance identification. The basic principles are outlined in this report and differences from other existing methods are discussed. Simulations are included to demonstrate the proposed method.

Author : Jer-Nan Juang,Ya-Chin Chen
Publisher : Unknown
Page : 28 pages
File Size : 50,6 Mb
Release : 1999
Category : Signal processing
ISBN : OCLC:858258861

Get Book

Signal Prediction with Input Identification by Jer-Nan Juang,Ya-Chin Chen Pdf

Author : Ales Prochazka,N.G. Kingsbury,P.J.W. Payner,J. Uhlir
Publisher : Springer Science & Business Media
Page : 520 pages
File Size : 48,5 Mb
Release : 2013-11-11
Category : Technology & Engineering
ISBN : 9781461217688

Get Book

Signal Analysis and Prediction by Ales Prochazka,N.G. Kingsbury,P.J.W. Payner,J. Uhlir Pdf

Methods of signal analysis represent a broad research topic with applications in many disciplines, including engineering, technology, biomedicine, seismography, eco nometrics, and many others based upon the processing of observed variables. Even though these applications are widely different, the mathematical background be hind them is similar and includes the use of the discrete Fourier transform and z-transform for signal analysis, and both linear and non-linear methods for signal identification, modelling, prediction, segmentation, and classification. These meth ods are in many cases closely related to optimization problems, statistical methods, and artificial neural networks. This book incorporates a collection of research papers based upon selected contri butions presented at the First European Conference on Signal Analysis and Predic tion (ECSAP-97) in Prague, Czech Republic, held June 24-27, 1997 at the Strahov Monastery. Even though the Conference was intended as a European Conference, at first initiated by the European Association for Signal Processing (EURASIP), it was very gratifying that it also drew significant support from other important scientific societies, including the lEE, Signal Processing Society of IEEE, and the Acoustical Society of America. The organizing committee was pleased that the re sponse from the academic community to participate at this Conference was very large; 128 summaries written by 242 authors from 36 countries were received. In addition, the Conference qualified under the Continuing Professional Development Scheme to provide PD units for participants and contributors.

Author : Paul Van Den Hof,Bo Wahlberg,Siep Weiland
Publisher : Elsevier
Page : 2080 pages
File Size : 53,6 Mb
Release : 2004-06-29
Category : Science
ISBN : 0080437095

Get Book

System Identification (SYSID '03) by Paul Van Den Hof,Bo Wahlberg,Siep Weiland Pdf

The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

Author : Cs. Banyasz
Publisher : Elsevier
Page : 480 pages
File Size : 50,9 Mb
Release : 2014-05-23
Category : Technology & Engineering
ISBN : 9781483296890

Get Book

Adaptive Systems in Control and Signal Processing 1995 by Cs. Banyasz Pdf

Leading academic and industrial researchers working with adaptive systems and signal processing have been given the opportunity to exchange ideas, concepts and solutions at the IFAC Symposia on Adaptive Systems in Control and Signal Processing. This postprint volume contains all those papers which were presented at the 5th IFAC Symposium in Budapest in 1995. The technical program was composed of a number of invited and contributed sessions and a special case study session, providing a good balance between applications and theory oriented papers.

Author : Ivan Zelinka,Guanrong Chen,Otto E. Rössler,Vaclav Snasel,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 550 pages
File Size : 43,7 Mb
Release : 2013-11-13
Category : Technology & Engineering
ISBN : 9783319005423

Get Book

Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems by Ivan Zelinka,Guanrong Chen,Otto E. Rössler,Vaclav Snasel,Ajith Abraham Pdf

Prediction of behavior of the dynamical systems, analysis and modeling of its structure is vitally important problem in engineering, economy and science today. Examples of such systems can be seen in the world around us and of course in almost every scientific discipline including such “exotic” domains like the earth’s atmosphere, turbulent fluids, economies (exchange rate and stock markets), population growth, physics (control of plasma), information flow in social networks and its dynamics, chemistry and complex networks. To understand such dynamics and to use it in research or industrial applications, it is important to create its models. For this purpose there is rich spectra of methods, from classical like ARMA models or Box Jenkins method to such modern ones like evolutionary computation, neural networks, fuzzy logic, fractal geometry, deterministic chaos and more. This proceeding book is a collection of the accepted papers to conference Nostradamus that has been held in Ostrava, Czech Republic. Proceeding also comprises of outstanding keynote speeches by distinguished guest speakers: Guanrong Chen (Hong Kong), Miguel A. F. Sanjuan (Spain), Gennady Leonov and Nikolay Kuznetsov (Russia), Petr Škoda (Czech Republic). The main aim of the conference is to create periodical possibility for students, academics and researchers to exchange their ideas and novel methods. This conference will establish forum for presentation and discussion of recent trends in the area of applications of various predictive methods for researchers, students and academics.

Author : Nirode Mohanty
Publisher : Springer Science & Business Media
Page : 636 pages
File Size : 43,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401170413

Get Book

Random Signals Estimation and Identification by Nirode Mohanty Pdf

The techniques used for the extraction of information from received or ob served signals are applicable in many diverse areas such as radar, sonar, communications, geophysics, remote sensing, acoustics, meteorology, med ical imaging systems, and electronics warfare. The received signal is usually disturbed by thermal, electrical, atmospheric, channel, or intentional inter ferences. The received signal cannot be predicted deterministically, so that statistical methods are needed to describe the signal. In general, therefore, any received signal is analyzed as a random signal or process. The purpose of this book is to provide an elementary introduction to random signal analysis, estimation, filtering, and identification. The emphasis of the book is on the computational aspects as well as presentation of com mon analytical tools for systems involving random signals. The book covers random processes, stationary signals, spectral analysis, estimation, optimiz ation, detection, spectrum estimation, prediction, filtering, and identification. The book is addressed to practicing engineers and scientists. It can be used as a text for courses in the areas of random processes, estimation theory, and system identification by undergraduates and graduate students in engineer ing and science with some background in probability and linear algebra. Part of the book has been used by the author while teaching at State University of New York at Buffalo and California State University at Long Beach. Some of the algorithms presented in this book have been successfully applied to industrial projects.

Author : M.A. Jabbar,MVV Prasad Kantipudi,Sheng-Lung Peng,Mamun Bin Ibne Reaz,Ana Maria Madureira
Publisher : CRC Press
Page : 257 pages
File Size : 42,6 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9781000794748

Get Book

Machine Learning Methods for Signal, Image and Speech Processing by M.A. Jabbar,MVV Prasad Kantipudi,Sheng-Lung Peng,Mamun Bin Ibne Reaz,Ana Maria Madureira Pdf

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.

Author : Darryl Leon,Scott Markel
Publisher : CRC Press
Page : 504 pages
File Size : 52,9 Mb
Release : 2006-06-13
Category : Medical
ISBN : 9781420015737

Get Book

In Silico Technologies in Drug Target Identification and Validation by Darryl Leon,Scott Markel Pdf

The pharmaceutical industry relies on numerous well-designed experiments involving high-throughput techniques and in silico approaches to analyze potential drug targets. These in silico methods are often predictive, yielding faster and less expensive analyses than traditional in vivo or in vitro procedures. In Silico Technologies in Drug Target Identification and Validation addresses the challenge of testing a growing number of new potential targets and reviews currently available in silico approaches for identifying and validating these targets. The book emphasizes computational tools, public and commercial databases, mathematical methods, and software for interpreting complex experimental data. The book describes how these tools are used to visualize a target structure, identify binding sites, and predict behavior. World-renowned researchers cover many topics not typically found in most informatics books, including functional annotation, siRNA design, pathways, text mining, ontologies, systems biology, database management, data pipelining, and pharmacogenomics. Covering issues that range from prescreening target selection to genetic modeling and valuable data integration, In Silico Technologies in Drug Target Identification and Validation is a self-contained and practical guide to the various computational tools that can accelerate the identification and validation stages of drug target discovery and determine the biological functionality of potential targets more effectively. Daniel E. Levy, editor of the Drug Discovery Series, is the founder of DEL BioPharma, a consulting service for drug discovery programs. He also maintains a blog that explores organic chemistry.

Author : Anonim
Publisher : European Control Association
Page : 684 pages
File Size : 44,5 Mb
Release : 1993-06-28
Category : Electronic
ISBN : 8210379456XXX

Get Book

European Control Conference 1993 by Anonim Pdf

Proceedings of the European Control Conference 1993, Groningen, Netherlands, June 28 – July 1, 1993

Author : Anonim
Publisher : Unknown
Page : 760 pages
File Size : 53,8 Mb
Release : 2002
Category : Patents
ISBN : PSU:000066183389

Get Book

Official Gazette of the United States Patent and Trademark Office by Anonim Pdf

Author : Ke Huang,Ka-Veng Yuen
Publisher : Springer Nature
Page : 286 pages
File Size : 48,7 Mb
Release : 2023-03-20
Category : Technology & Engineering
ISBN : 9789819905935

Get Book

Bayesian Real-Time System Identification by Ke Huang,Ka-Veng Yuen Pdf

This book introduces some recent developments in Bayesian real-time system identification. It contains two different perspectives on data processing for system identification, namely centralized and distributed. A centralized Bayesian identification framework is presented to address challenging problems of real-time parameter estimation, which covers outlier detection, system, and noise parameters tracking. Besides, real-time Bayesian model class selection is introduced to tackle model misspecification problem. On the other hand, a distributed Bayesian identification framework is presented to handle asynchronous data and multiple outlier corrupted data. This book provides sufficient background to follow Bayesian methods for solving real-time system identification problems in civil and other engineering disciplines. The illustrative examples allow the readers to quickly understand the algorithms and associated applications. This book is intended for graduate students and researchers in civil and mechanical engineering. Practitioners can also find useful reference guide for solving engineering problems.

Author : Anonim
Publisher : Unknown
Page : 900 pages
File Size : 47,6 Mb
Release : 2000
Category : Government publications
ISBN : WISC:89117117630

Get Book

Monthly Catalog of United States Government Publications by Anonim Pdf

Author : Sanguthevar Rajasekaran
Publisher : Springer
Page : 450 pages
File Size : 53,7 Mb
Release : 2009-04-22
Category : Science
ISBN : 9783642007279

Get Book

Bioinformatics and Computational Biology by Sanguthevar Rajasekaran Pdf

This book constitutes the refereed proceedings of the First International on Bioinformatics and Computational Biology, BICoB 2007, held in New Orleans, LA, USA, in April 2007. The 30 revised full papers presented together with 10 invited lectures were carefully reviewed and selected from 72 initial submissions. The papers address current research in the area of bioinformatics and computational biology fostering the advancement of computing techniques and their application to life sciences in topics such as genome analysis sequence analysis, phylogenetics, structural bioinformatics, analysis of high-throughput biological data, genetics and population analysis, as well as systems biology.

Author : Issam El Naqa,Ruijiang Li,Martin J. Murphy
Publisher : Springer
Page : 336 pages
File Size : 54,7 Mb
Release : 2015-06-19
Category : Medical
ISBN : 9783319183053

Get Book

Machine Learning in Radiation Oncology by Issam El Naqa,Ruijiang Li,Martin J. Murphy Pdf

​This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.