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Conference Record Of The Twenty Seventh Asilomar Conference On Signals Systems Computers
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Book Synopsis Conference Record of the Twenty-eighth Asilomar Conference on Signals, Systems & Computers by : Avtar Singh
Download or read book Conference Record of the Twenty-eighth Asilomar Conference on Signals, Systems & Computers written by Avtar Singh and published by . This book was released on 1994 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 27th Asilomar Conference on Signals, Systems, and Computers by :
Download or read book 27th Asilomar Conference on Signals, Systems, and Computers written by and published by IEEE Computer Society Press. This book was released on 1994 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Conference Record of the Twenty-sixth Asilomar Conference on Signals, Systems & Computers by : Avtar Singh
Download or read book Conference Record of the Twenty-sixth Asilomar Conference on Signals, Systems & Computers written by Avtar Singh and published by . This book was released on 1992 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Signals and Images by : Rosângela Fernandes Coelho
Download or read book Signals and Images written by Rosângela Fernandes Coelho and published by CRC Press. This book was released on 2018-09-03 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. These experts detail the results of their research related to audio and speech enhancement, acoustic image estimation, video compression, biometric recognition, hyperspectral image analysis, tensor decomposition with applications in communications, adaptive sparse-interpolated filtering, signal processing for power line communications, bio-inspired signal processing, seismic data processing, arithmetic transforms for spectrum computation, particle filtering in cooperative networks, three-dimensional television, and more. This book not only shows how signal processing theory is applied in current and emerging technologies, but also demonstrates how to tackle key problems such as how to enhance speech in the time domain, improve audio quality, and meet the desired electrical consumption target for controlling carbon emissions. Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing serves as a guide to the next generation of signal processing solutions for speech and video coding, hearing aid devices, big data processing, smartphones, smart digital communications, acoustic sensors, and beyond.
Book Synopsis Signal and Information Processing, Networking and Computers by : Songlin Sun
Download or read book Signal and Information Processing, Networking and Computers written by Songlin Sun and published by Springer. This book was released on 2017-12-16 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents the latest research in the fields of information theory, communication system, computer science and signal processing, as well as other related technologies. Collecting selected papers from the 3rd Conference on Signal and Information Processing, Networking and Computers (ICSINC), held in Chongqing, China on September 13-15, 2017, it is of interest to professionals from academia and industry alike.
Book Synopsis Stochastic Resonance by : Bruno Andò
Download or read book Stochastic Resonance written by Bruno Andò and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stochastic Resonance: Theory and Applications deals with the theory of noise-added systems and in particular with Stochastic Resonance, a quite novel theory that was introduced in the 1980s to provide better understanding of some natural phenomena (e.g. ice age recurrence). Following the very first works, a number of different applications to both natural and human-produced phenomena were proposed. The book aims to improve the understanding of noise-based techniques and to focus on practical applications of this class of phenomena (an aspect that has been very poorly investigated up to now). Based on this objective, the book is roughly divided into two parts. The first part deals with the essential theory of noise-added systems and in particular a new approach to noise-added techniques that allows a number of strategies proposed in previous years to be unified. The proposed approach also allows real-time control of the noise characteristics, assuring optimal system performance. In the second part a large number of applications are described in detail in the field of electric and electronic devices, with the aim of allowing readers to build their own experimental set. The book comes with a diskette of educational software that the authors developed. Stochastic Resonance: Theory and Applications is an invaluable reference for students, researchers and engineering professionals working in the fields of electric and electronic measurements, electronics and signal theory.
Book Synopsis Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques by : Begg, Rezaul
Download or read book Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques written by Begg, Rezaul and published by IGI Global. This book was released on 2006-02-28 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides information regarding state-of-the-art research outcomes and cutting-edge technology on various aspects of the human movement"--Provided by publisher.
Book Synopsis Healthcare Risk Adjustment and Predictive Modeling by : Ian G. Duncan
Download or read book Healthcare Risk Adjustment and Predictive Modeling written by Ian G. Duncan and published by ACTEX Publications. This book was released on 2011 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.
Book Synopsis Latent Variable Analysis and Signal Separation by : Fabian Theis
Download or read book Latent Variable Analysis and Signal Separation written by Fabian Theis and published by Springer. This book was released on 2012-02-09 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 10th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2012, held in Tel Aviv, Israel, in March 2012. The 20 revised full papers presented together with 42 revised poster papers, 1 keynote lecture, and 2 overview papers for the regular, as well as for the special session were carefully reviewed and selected from numerous submissions. Topics addressed are ranging from theoretical issues such as causality analysis and measures, through novel methods for employing the well-established concepts of sparsity and non-negativity for matrix and tensor factorization, down to a variety of related applications ranging from audio and biomedical signals to precipitation analysis.
Book Synopsis Neural Information Processing by : Minho Lee
Download or read book Neural Information Processing written by Minho Lee and published by Springer. This book was released on 2013-10-29 with total page 655 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.
Download or read book Air Pollution written by Mukesh Khare and published by BoD – Books on Demand. This book was released on 2012-03-23 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air pollution has always been a trans-boundary environmental problem and a matter of global concern for past many years. High concentrations of air pollutants due to numerous anthropogenic activities influence the air quality. There are many books on this subject, but the one in front of you will probably help in filling the gaps existing in the area of air quality monitoring, modelling, exposure, health and control, and can be of great help to graduate students professionals and researchers. The book is divided in two volumes dealing with various monitoring techniques of air pollutants, their predictions and control. It also contains case studies describing the exposure and health implications of air pollutants on living biota in different countries across the globe.
Book Synopsis Brain and Nature-Inspired Learning, Computation and Recognition by : Licheng Jiao
Download or read book Brain and Nature-Inspired Learning, Computation and Recognition written by Licheng Jiao and published by Elsevier. This book was released on 2020-01-18 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brain and Nature-Inspired Learning, Computation and Recognition presents a systematic analysis of neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new developments and main applications, algorithms and simulations. Developments in brain and nature-inspired learning have promoted interest in image processing, clustering problems, change detection, control theory and other disciplines. The book discusses the main problems and applications pertaining to bio-inspired computation and recognition, introducing algorithm implementation, model simulation, and practical application of parameter setting. Readers will find solutions to problems in computation and recognition, particularly neural networks, natural computing, machine learning and compressed sensing. This volume offers a comprehensive and well-structured introduction to brain and nature-inspired learning, computation, and recognition. - Presents an invaluable systematic introduction to brain and nature-inspired learning, computation and recognition - Describes the biological mechanisms, mathematical analyses and scientific principles behind brain and nature-inspired learning, calculation and recognition - Systematically analyzes neural networks, natural computing, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature - Discusses the theory and application of algorithms and neural networks, natural computing, machine learning and compression perception
Book Synopsis Adaptive Signal Models by : Michael M. Goodwin
Download or read book Adaptive Signal Models written by Michael M. Goodwin and published by Springer Science & Business Media. This book was released on 2012-09-10 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Signal Models: Theory, Algorithms and Audio Applications presents methods for deriving mathematical models of natural signals. The introduction covers the fundamentals of analysis-synthesis systems and signal representations. Some of the topics in the introduction include perfect and near-perfect reconstruction, the distinction between parametric and nonparametric methods, the role of compaction in signal modeling, basic and overcomplete signal expansions, and time-frequency resolution issues. These topics arise throughout the book as do a number of other topics such as filter banks and multiresolution. The second chapter gives a detailed development of the sinusoidal model as a parametric extension of the short-time Fourier transform. This leads to multiresolution sinusoidal modeling techniques in Chapter Three, where wavelet-like approaches are merged with the sinusoidal model to yield improved models. In Chapter Four, the analysis-synthesis residual is considered; for realistic synthesis, the residual must be separately modeled after coherent components (such as sinusoids) are removed. The residual modeling approach is based on psychoacoustically motivated nonuniform filter banks. Chapter Five deals with pitch-synchronous versions of both the wavelet and the Fourier transform; these allow for compact models of pseudo-periodic signals. Chapter Six discusses recent algorithms for deriving signal representations based on time-frequency atoms; primarily, the matching pursuit algorithm is reviewed and extended. The signal models discussed in the book are compact, adaptive, parametric, time-frequency representations that are useful for analysis, coding, modification, and synthesis of natural signals such as audio. The models are all interpreted as methods for decomposing a signal in terms of fundamental time-frequency atoms; these interpretations, as well as the adaptive and parametric natures of the models, serve to link the various methods dealt with in the text. Adaptive Signal Models: Theory, Algorithms and Audio Applications serves as an excellent reference for researchers of signal processing and may be used as a text for advanced courses on the topic.
Book Synopsis Learning and Intelligent Optimization by : Youssef Hamadi
Download or read book Learning and Intelligent Optimization written by Youssef Hamadi and published by Springer. This book was released on 2012-10-01 with total page 533 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community.
Book Synopsis Partially Supervised Learning by : Zhi-Hua Zhou
Download or read book Partially Supervised Learning written by Zhi-Hua Zhou and published by Springer. This book was released on 2013-10-21 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed revised selected papers from the Second IAPR International Workshop, PSL 2013, held in Nanjing, China, in May 2013. The 10 papers included in this volume were carefully reviewed and selected from 26 submissions. Partially supervised learning is a rapidly evolving area of machine learning. It generalizes many kinds of learning paradigms including supervised and unsupervised learning, semi-supervised learning for classification and regression, transductive learning, semi-supervised clustering, multi-instance learning, weak label learning, policy learning in partially observable environments, etc.
Book Synopsis Information Technology - New Generations by : Shahram Latifi
Download or read book Information Technology - New Generations written by Shahram Latifi and published by Springer. This book was released on 2017-07-15 with total page 932 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a collection of peer-reviewed, scientific articles from the 14th International Conference on Information Technology – New Generations, held at the University of Nevada at Las Vegas on April 10–12, at Tuscany Suites Hotel in Las Vegas. The Book of Chapters addresses critical areas of information technology including web technology, communications, computing architectures, software engineering, security, and data mining.
Book Synopsis Open Radio Access Network (O-RAN) Systems Architecture and Design by : Wim Rouwet
Download or read book Open Radio Access Network (O-RAN) Systems Architecture and Design written by Wim Rouwet and published by Academic Press. This book was released on 2022-02-26 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Open Radio Access Network (O-RAN) Systems Architecture and Design gives a jump-start to engineers developing O-RAN hardware and software systems, providing a top-down approach to O-RAN systems design. It gives an introduction into why wireless systems look the way they do today before introducing relevant O-RAN and 3GPP standards. The remainder of the book discusses hardware and software aspects of O-RAN system design, including dimensioning and performance targets. - Presents O-RAN and 3GPP standards - Provides a top-down approach to O-RAN systems design - Includes practical examples of relevant elements of detailed hardware and software design to provide tools for development - Gives a few practical examples of where O-RAN designs play in the market and how they map to hardware and software architectures
