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Book Statistical Analysis of the LMS and Modified Stochastic Gradient Algorithms

Download or read book Statistical Analysis of the LMS and Modified Stochastic Gradient Algorithms written by Neil J. Bershad and published by . This book was released on 1989 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the period April 15 1989, the Air Force Office of Scientific Research supported research work on the stochastic behavior of the LMS and related adaptive algorithms has yielded results in two major areas: Digital Implementation of Stochastic Gradient Type adaptive Algorithms; and LMS and RLS Performance Comparison for Tracking a Chirped Sinusoid in Noise. Keywords: Mathematical models, Electrical engineering, Echo cancellation, Abstracts. (KR).

Book Statistical Analysis of the LMS  Last Mean Squares  and Modified Stochastic Gradient

Download or read book Statistical Analysis of the LMS Last Mean Squares and Modified Stochastic Gradient written by Bershad and published by . This book was released on 1988 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on the stochastic behavior of the last mean squares (LMS) and related algorithms has yielded results in four majors. Significant progress has been made in determining the joint transient and steady state probability density functions of the time domain LMS weights for gaussian jammers. The effects of non-linearities on the time domain LMS algorithm have been analyzed. Keywords: Transient behavior of arbitrary linear filters; Joint probability density functions; Weighting functions; Spread spectrum communications; Adaptive filtering.

Book Statistical Analysis of Stochastic Gradient Based Algorithms

Download or read book Statistical Analysis of Stochastic Gradient Based Algorithms written by Neil J. Bershad and published by . This book was released on 1991 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work explicitly reported here was performed during the period April 15, 1988 - October 15, 1990. Work performed during the period April 15, 1986 - April 15, 1988 has been previously presented in the annual reports for those years. AFOSR has supported research work primarily on 1) the stochastic behavior of LMS and stochastic gradient related adaptive algorithms and 2) comparative performance analysis of LMS and Recursive Least Squares (RLS) in non-stationary environments. Preliminary efforts covering the Constant Modulus Adaptive (CMA) algorithms and Infinite Impulse Response (IIR) adaptive filters have resulted in several publications 14,17,25 but are not discussed below. Preprints or reprints of all referenced publications have been provided to AFOSR.

Book Scientific and Technical Aerospace Reports

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1989 with total page 968 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Technical Reports Awareness Circular   TRAC

Download or read book Technical Reports Awareness Circular TRAC written by and published by . This book was released on 1989-07 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Tracking Performance of Stochastic Gradient Algorithms for Nonstationary Processes

Download or read book Tracking Performance of Stochastic Gradient Algorithms for Nonstationary Processes written by Mehrdad Hajivandi and published by . This book was released on 1982 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Digital Signal Processing Handbook

Download or read book The Digital Signal Processing Handbook written by VIJAY MADISETTI and published by CRC Press. This book was released on 1997-12-29 with total page 1792 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of digital signal processing (DSP) has spurred developments from basic theory of discrete-time signals and processing tools to diverse applications in telecommunications, speech and acoustics, radar, and video. This volume provides an accessible reference, offering theoretical and practical information to the audience of DSP users. This immense compilation outlines both introductory and specialized aspects of information-bearing signals in digital form, creating a resource relevant to the expanding needs of the engineering community. It also explores the use of computers and special-purpose digital hardware in extracting information or transforming signals in advantageous ways. Impacted areas presented include: Telecommunications Computer engineering Acoustics Seismic data analysis DSP software and hardware Image and video processing Remote sensing Multimedia applications Medical technology Radar and sonar applications This authoritative collaboration, written by the foremost researchers and practitioners in their fields, comprehensively presents the range of DSP: from theory to application, from algorithms to hardware.

Book Life System Modeling and Intelligent Computing

Download or read book Life System Modeling and Intelligent Computing written by Minrui Fei and published by Springer Science & Business Media. This book was released on 2010-09 with total page 539 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is part I of a two-volume work that contains the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2010 and the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, held in Wuxi, China, in September 2010. The 194 revised full papers presented were carefully reviewed and selected from over 880 submissions and recommended for publication by Springer in two volumes of Lecture Notes in Computer Science (LNCS) and one volume of Lecture Notes in Bioinformatics (LNBI). This particular volume of Lecture Notes in Computer Science (LNCS) includes 55 papers covering 7 relevant topics. The 55 papers in this volume are organized in topical sections on intelligent modeling, monitoring, and control of complex nonlinear systems; autonomy-oriented computing and intelligent agents; advanced theory and methodology in fuzzy systems and soft computing; computational intelligence in utilization of clean and renewable energy resources; intelligent modeling, control and supervision for energy saving and pollution reduction; intelligent methods in developing vehicles, engines and equipments; computational methods and intelligence in modeling genetic and biochemical networks and regulation.

Book Optimum Array Processing

Download or read book Optimum Array Processing written by Harry L. Van Trees and published by John Wiley & Sons. This book was released on 2002-04-04 with total page 1477 pages. Available in PDF, EPUB and Kindle. Book excerpt: Well-known authority, Dr. Van Trees updates array signal processing for today's technology This is the most up-to-date and thorough treatment of the subject available Written in the same accessible style as Van Tree's earlier classics, this completely new work covers all modern applications of array signal processing, from biomedicine to wireless communications

Book Proceedings of the Multi Conference 2011

Download or read book Proceedings of the Multi Conference 2011 written by Himanshu B. Soni and published by Universal-Publishers. This book was released on 2011-06-06 with total page 1074 pages. Available in PDF, EPUB and Kindle. Book excerpt: The International Conference on Signals, Systems and Automation (ICSSA 2011) aims to spread awareness in the research and academic community regarding cutting-edge technological advancements revolutionizing the world. The main emphasis of this conference is on dissemination of information, experience, and research results on the current topics of interest through in-depth discussions and participation of researchers from all over the world. The objective is to provide a platform to scientists, research scholars, and industrialists for interacting and exchanging ideas in a number of research areas. This will facilitate communication among researchers in different fields of Electronics and Communication Engineering. The International Conference on Intelligent System and Data Processing (ICISD 2011) is organized to address various issues that will foster the creation of intelligent solutions in the future. The primary goal of the conference is to bring together worldwide leading researchers, developers, practitioners, and educators interested in advancing the state of the art in computational intelligence and data processing for exchanging knowledge that encompasses a broad range of disciplines among various distinct communities. Another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in India and abroad.

Book Fitting Linear Models

    Book Details:
  • Author : A. McIntosh
  • Publisher : Springer Science & Business Media
  • Release : 2012-12-06
  • ISBN : 1461257522
  • Pages : 208 pages

Download or read book Fitting Linear Models written by A. McIntosh and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing power and decreasing price of smalI computers, especialIy "personal" computers, has made them increasingly popular in statistical analysis. The day may not be too far off when every statistician has on his or her desktop computing power on a par with the large mainframe computers of 15 or 20 years ago. These same factors make it relatively easy to acquire and manipulate large quantities of data, and statisticians can expect a corresponding increase in the size of the datasets that they must analyze. Unfortunately, because of constraints imposed by architecture, size or price, these smalI computers do not possess the main memory of their large cousins. Thus, there is a growing need for algorithms that are sufficiently economical of space to permit statistical analysis on smalI computers. One area of analysis where there is a need for algorithms that are economical of space is in the fitting of linear models.

Book Artificial Neural Nets and Genetic Algorithms

Download or read book Artificial Neural Nets and Genetic Algorithms written by Vera Kurkova and published by Springer Science & Business Media. This book was released on 2001-04-11 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits.

Book Stochastic Gradients Methods for Statistical Inference

Download or read book Stochastic Gradients Methods for Statistical Inference written by Tianyang Li (Ph. D.) and published by . This book was released on 2019 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical inference, such as hypothesis testing and calculating a confidence interval, is an important tool for accessing uncertainty in machine learning and statistical problems. Stochastic gradient methods, such as stochastic gradient descent (SGD), have recently been successfully applied to point estimation in large scale machine learning problems. In this work, we present novel stochastic gradient methods for statistical inference in large scale machine learning problems. Unregularized M -estimation using SGD. Using SGD with a fixed step size, we demonstrate that the average of such SGD sequences can be used for statistical inference, after proper scaling. An intuitive analysis using the Ornstein-Uhlenbeck process suggests that such averages are asymptotically normal. From a practical perspective, our SGD-based inference procedure is a first order method, and is well-suited for large scale problems. To show its merits, we apply it to both synthetic and real datasets, and demonstrate that its accuracy is comparable to classical statistical methods, while requiring potentially far less computation. Approximate Newton-based statistical inference using only stochastic gradients for unregularized M -estimation. We present a novel inference framework for convex empirical risk minimization, using approximate stochastic Newton steps. The proposed algorithm is based on the notion of finite differences and allows the approximation of a Hessian-vector product from first-order information. In theory, our method efficiently computes the statistical error covariance in M -estimation for unregularized convex learning problems, without using exact second order information, or resampling the entire data set. In practice, we demonstrate the effectiveness of our framework on large-scale machine learning problems, that go even beyond convexity: as a highlight, our work can be used to detect certain adversarial attacks on neural networks. High dimensional linear regression statistical inference using only stochastic gra- dients. As an extension of the approximate Newton-based statistical inference algorithm for unregularized problems, we present a similar algorithm, using only stochastic gradients, for statistical inference in high dimensional linear regression, where the number of features is much larger than the number of samples. Stochastic gradient methods for time series analysis. We present a novel stochastic gradient descent algorithm for time series analysis, which correctly captures correlation structures in a time series dataset during optimization. Instead of uniformly sampling indices in vanilla SGD, we uniformly sample contiguous blocks of indices, where the block length depends on the dataset

Book Cities and Their Vital Systems

Download or read book Cities and Their Vital Systems written by Advisory Committee on Technology and Society and published by National Academies Press. This book was released on 1989 with total page 1298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cities and Their Vital Systems asks basic questions about the longevity, utility, and nature of urban infrastructures; analyzes how they grow, interact, and change; and asks how, when, and at what cost they should be replaced. Among the topics discussed are problems arising from increasing air travel and airport congestion; the adequacy of water supplies and waste treatment; the impact of new technologies on construction; urban real estate values; and the field of "telematics," the combination of computers and telecommunications that makes money machines and national newspapers possible.

Book Government Reports Announcements   Index

Download or read book Government Reports Announcements Index written by and published by . This book was released on 1991 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: