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Author : Patrick R. Merkli
Publisher :
ISBN 13 : 9783896499875
Total Pages : 193 pages
Book Rating : 4.4/5 (998 download)
Download or read book Message Passing Algorithms and Analog Electronic Circuits written by Patrick R. Merkli and published by . This book was released on 2005 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Patrick Murer
Publisher : BoD – Books on Demand
ISBN 13 : 3866287585
Total Pages : 230 pages
Book Rating : 4.8/5 (662 download)
Download or read book A New Perspective on Memorization in Recurrent Networks of Spiking Neurons written by Patrick Murer and published by BoD – Books on Demand. This book was released on 2022-05-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis studies the capability of spiking recurrent neural network models to memorize dynamical pulse patterns (or firing signals). In the first part, discrete-time firing signals (or firing sequences) are considered. A recurrent network model, consisting of neurons with bounded disturbance, is introduced to analyze (simple) local learning. Two modes of learning/memorization are considered: The first mode is strictly online, with a single pass through the data, while the second mode uses multiple passes through the data. In both modes, the learning is strictly local (quasi-Hebbian): At any given time step, only the weights between the neurons firing (or supposed to be firing) at the previous time step and those firing (or supposed to be firing) at the present time step are modified. The main result is an upper bound on the probability that the single-pass memorization is not perfect. It follows that the memorization capacity in this mode asymptotically scales like that of the classical Hopfield model (which, in contrast, memorizes static patterns). However, multiple-rounds memorization is shown to achieve a higher capacity with an asymptotically nonvanishing number of bits per connection/synapse. These mathematical findings may be helpful for understanding the functionality of short-term memory and long-term memory in neuroscience. In the second part, firing signals in continuous-time are studied. It is shown how firing signals, containing firings only on a regular time grid, can be (robustly) memorized with a recurrent network model. In principle, the corresponding weights are obtained by supervised (quasi-Hebbian) multi-pass learning. The asymptotic memorization capacity is a nonvanishing number measured in bits per connection/synapse as its discrete-time analogon. Furthermore, the timing robustness of the memorized firing signals is investigated for different disturbance models. The regime of disturbances, where the relative occurrence-time of the firings is preserved over a long time span, is elaborated for the various disturbance models. The proposed models have the potential for energy efficient self-timed neuromorphic hardware implementations.
Author : Benjamin William Vigoda
Publisher :
ISBN 13 :
Total Pages : 209 pages
Book Rating : 4.:/5 (549 download)
Download or read book Continuous-time Analog Circuits for Statistical Signal Processing written by Benjamin William Vigoda and published by . This book was released on 2003 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis proposes an alternate paradigm for designing computers using continuous-time analog circuits. Digital computation sacrifices continuous degrees of freedom. A principled approach to recovering them is to view analog circuits as propagating probabilities in a message passing algorithm. Within this framework, analog continuous-time circuits can perform robust, programmable, high-speed, low-power, cost-effective, statistical signal processing. This methodology will have broad application to systems which can benefit from low-power, high-speed signal processing and offers the possibility of adaptable/programmable high-speed circuitry at frequencies where digital circuitry would be cost and power prohibitive. Many problems must be solved before the new design methodology can be shown to be useful in practice: Continuous-time signal processing is not well understood. Analog computational circuits known as "soft-gates" have been previously proposed, but a complementary set of analog memory circuits is still lacking. Analog circuits are usually tunable, rarely reconfigurable, but never programmable. The thesis develops an understanding of the convergence and synchronization of statistical signal processing algorithms in continuous time, and explores the use of linear and nonlinear circuits for analog memory. An exemplary embodiment called the Noise Lock Loop (NLL) using these design primitives is demonstrated to perform direct-sequence spread-spectrum acquisition and tracking functionality and promises order-of-magnitude wins over digital implementations. A building block for the construction of programmable analog gate arrays, the "soft-multiplexer" is also proposed.
Author : Elizabeth Ren
Publisher : BoD – Books on Demand
ISBN 13 : 3866287925
Total Pages : 288 pages
Book Rating : 4.8/5 (662 download)
Download or read book Using Local State Space Model Approximation for Fundamental Signal Analysis Tasks written by Elizabeth Ren and published by BoD – Books on Demand. This book was released on 2023-05-26 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: With increasing availability of computation power, digital signal analysis algorithms have the potential of evolving from the common framewise operational method to samplewise operations which offer more precision in time. This thesis discusses a set of methods with samplewise operations: local signal approximation via Recursive Least Squares (RLS) where a mathematical model is fit to the signal within a sliding window at each sample. Thereby both the signal models and cost windows are generated by Autonomous Linear State Space Models (ALSSMs). The modeling capability of ALSSMs is vast, as they can model exponentials, polynomials and sinusoidal functions as well as any linear and multiplicative combination thereof. The fitting method offers efficient recursions, subsample precision by way of the signal model and additional goodness of fit measures based on the recursively computed fitting cost. Classical methods such as standard Savitzky-Golay (SG) smoothing filters and the Short-Time Fourier Transform (STFT) are united under a common framework. First, we complete the existing framework. The ALSSM parameterization and RLS recursions are provided for a general function. The solution of the fit parameters for different constraint problems are reviewed. Moreover, feature extraction from both the fit parameters and the cost is detailed as well as examples of their use. In particular, we introduce terminology to analyze the fitting problem from the perspective of projection to a local Hilbert space and as a linear filter. Analytical rules are given for computation of the equivalent filter response and the steady-state precision matrix of the cost. After establishing the local approximation framework, we further discuss two classes of signal models in particular, namely polynomial and sinusoidal functions. The signal models are complementary, as by nature, polynomials are suited for time-domain description of signals while sinusoids are suited for the frequency-domain. For local approximation of polynomials, we derive analytical expressions for the steady-state covariance matrix and the linear filter of the coefficients based on the theory of orthogonal polynomial bases. We then discuss the fundamental application of smoothing filters based on local polynomial approximation. We generalize standard SG filters to any ALSSM window and introduce a novel class of smoothing filters based on polynomial fitting to running sums.
Author : Boxiao Ma
Publisher : BoD – Books on Demand
ISBN 13 : 3866287461
Total Pages : 180 pages
Book Rating : 4.8/5 (662 download)
Download or read book Smoothed-NUV Priors for Imaging and Beyond written by Boxiao Ma and published by BoD – Books on Demand. This book was released on 2022-05-10 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many problems in imaging need to be guided with effective priors or reg- ularizations for different reasons. A great variety of regularizations have been proposed that have substantially improved computational imaging and driven the area to a whole new level. The most famous and widely applied among them is L1-regularization and its variations, including total variation (TV) regularization in particular. This thesis presents an alternative class of regularizations for imaging using normal priors with unknown variance (NUV), which produce sharp edges and few staircase artifacts. While many regularizations (includ- ing TV) prefer piecewise constant images, which leads to staricasing, the smoothed-NUV (SNUV) priors have a convex-concave structure and thus prefer piecewise smooth images. We argue that "piecewise smooth" is a more realistic assumption compared to "piecewise constant" and is crucial for good imaging results.
Author : Donald O. Pederson
Publisher : Springer Science & Business Media
ISBN 13 : 1475721285
Total Pages : 577 pages
Book Rating : 4.4/5 (757 download)
Download or read book Analog Integrated Circuits for Communication written by Donald O. Pederson and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the analysis and design of analog integrated circuits that form the basis of present-day communication systems. The material is intended to be a textbook for class use but should also be a valuable source of information for a practicing engineer. Both bipolar and MOS transistor circuits are analyzed and many numerical examples are used to illustrate the analysis and design techniques developed in this book. A set of problems is presented at the end of the book which covers the subject matter of the whole book. The book has originated out of a senior-level course on nonlinear, analog integrated circuits at the University of California at Berkeley. The material contained in this book has been taught by the first author for several years and the book has been class tested for six semesters. This along with feedback from the students is reflected in the organization and writing of the text. We expect that the students have had an introductory course in analog circuits so that they are familiar with some of the basic analysis techniques and also with the operating principles of the various semiconductor devices. Several important, basic circuits and concepts are reviewed as the subject matter is developed.
Author : Raphael Urs Keusch
Publisher : BoD – Books on Demand
ISBN 13 : 3866287682
Total Pages : 275 pages
Book Rating : 4.8/5 (662 download)
Download or read book Composite NUV Priors and Applications written by Raphael Urs Keusch and published by BoD – Books on Demand. This book was released on 2022-08-19 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Normal with unknown variance (NUV) priors are a central idea of sparse Bayesian learning and allow variational representations of non-Gaussian priors. More specifically, such variational representations can be seen as parameterized Gaussians, wherein the parameters are generally unknown. The advantage is apparent: for fixed parameters, NUV priors are Gaussian, and hence computationally compatible with Gaussian models. Moreover, working with (linear-)Gaussian models is particularly attractive since the Gaussian distribution is closed under affine transformations, marginalization, and conditioning. Interestingly, the variational representation proves to be rather universal than restrictive: many common sparsity-promoting priors (among them, in particular, the Laplace prior) can be represented in this manner. In estimation problems, parameters or variables of the underlying model are often subject to constraints (e.g., discrete-level constraints). Such constraints cannot adequately be represented by linear-Gaussian models and generally require special treatment. To handle such constraints within a linear-Gaussian setting, we extend the idea of NUV priors beyond its original use for sparsity. In particular, we study compositions of existing NUV priors, referred to as composite NUV priors, and show that many commonly used model constraints can be represented in this way.
Author : Prithviraj Kabisatpathy
Publisher : Springer Science & Business Media
ISBN 13 : 0387257438
Total Pages : 183 pages
Book Rating : 4.3/5 (872 download)
Download or read book Fault Diagnosis of Analog Integrated Circuits written by Prithviraj Kabisatpathy and published by Springer Science & Business Media. This book was released on 2006-01-13 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enables the reader to test an analog circuit that is implemented either in bipolar or MOS technology. Examines the testing and fault diagnosis of analog and analog part of mixed signal circuits. Covers the testing and fault diagnosis of both bipolar and Metal Oxide Semiconductor (MOS) circuits and introduces . Also contains problems that can be used as quiz or homework.
Author : Mohammad Ali Maleki
Publisher : Stanford University
ISBN 13 :
Total Pages : 311 pages
Book Rating : 4.F/5 ( download)
Download or read book Approximate Message Passing Algorithms for Compressed Sensing written by Mohammad Ali Maleki and published by Stanford University. This book was released on 2010 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compressed sensing refers to a growing body of techniques that `undersample' high-dimensional signals and yet recover them accurately. Such techniques make fewer measurements than traditional sampling theory demands: rather than sampling proportional to frequency bandwidth, they make only as many measurements as the underlying `information content' of those signals. However, as compared with traditional sampling theory, which can recover signals by applying simple linear reconstruction formulas, the task of signal recovery from reduced measurements requires nonlinear, and so far, relatively expensive reconstruction schemes. One popular class of reconstruction schemes uses linear programming (LP) methods; there is an elegant theory for such schemes promising large improvements over ordinary sampling rules in recovering sparse signals. However, solving the required LPs is substantially more expensive in applications than the linear reconstruction schemes that are now standard. In certain imaging problems, the signal to be acquired may be an image with $10^6$ pixels and the required LP would involve tens of thousands of constraints and millions of variables. Despite advances in the speed of LP, such methods are still dramatically more expensive to solve than we would like. In this thesis we focus on a class of low computational complexity algorithms known as iterative thresholding. We study them both theoretically and empirically. We will also introduce a new class of algorithms called approximate message passing or AMP. These schemes have several advantages over the classical thresholding approaches. First, they take advantage of the statistical properties of the problem to improve the convergence rate and predictability of the algorithm. Second, the nice properties of these algorithms enable us to make very accurate theoretical predictions on the asymptotic performance of LPs as well. It will be shown that more traditional techniques such as coherence and restricted isometry property are not able to make such precise predictions.
Author : Xiaojun Yuan
Publisher : Springer Nature
ISBN 13 : 3030547620
Total Pages : 105 pages
Book Rating : 4.0/5 (35 download)
Download or read book Turbo Message Passing Algorithms for Structured Signal Recovery written by Xiaojun Yuan and published by Springer Nature. This book was released on 2020-10-13 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured signals include 1) a sparse vector/matrix (which corresponds to the compressed sensing (CS) problem), 2) a low-rank matrix (which corresponds to the affine rank minimization (ARM) problem), 3) a mixture of a sparse matrix and a low-rank matrix (which corresponds to the robust principal component analysis (RPCA) problem). The book is divided into three parts. First, the authors introduce a turbo message passing algorithm termed denoising-based Turbo-CS (D-Turbo-CS). Second, the authors introduce a turbo message passing (TMP) algorithm for solving the ARM problem. Third, the authors introduce a TMP algorithm for solving the RPCA problem which aims to recover a low-rank matrix and a sparse matrix from their compressed mixture. With this book, we wish to spur new researches on applying message passing to various inference problems. Provides an in depth look into turbo message passing algorithms for structured signal recovery Includes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message passing Shows applications in areas such as wireless communications and computer vision
Author : Sang C. Suh
Publisher : Springer
ISBN 13 : 331963917X
Total Pages : 262 pages
Book Rating : 4.3/5 (196 download)
Download or read book Big Data and Visual Analytics written by Sang C. Suh and published by Springer. This book was released on 2018-01-15 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering state-of-the art techniques on data analytics, data and information visualization, and visual analytics. Each chapter covers specific topics related to big data and data analytics as virtual data machine, security of big data, big data applications, high performance computing cluster, and big data implementation techniques. Every chapter includes a description of an unique contribution to the area of big data and visual analytics. This book is a valuable resource for researchers and professionals working in the area of big data, data analytics, and information visualization. Advanced-level students studying computer science will also find this book helpful as a secondary textbook or reference.
Author : Willy M.C. Sansen
Publisher : Springer Science & Business Media
ISBN 13 : 1475723105
Total Pages : 319 pages
Book Rating : 4.4/5 (757 download)
Download or read book Analog Circuit Design written by Willy M.C. Sansen and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume concentrates on three topics: mixed analog--digital circuit design, sensor interface circuits and communication circuits. The book comprises six papers on each topic of a tutorial nature aimed at improving the design of analog circuits. The book is divided into three parts. Part I: Mixed Analog--Digital Circuit Design considers the largest growth area in microelectronics. Both standard designs and ASICs have begun integrating analog cells and digital sections on the same chip. The papers cover topics such as groundbounce and supply-line spikes, design methodologies for high-level design and actual mixed analog--digital designs. Part II: Sensor Interface Circuits describes various types of signal conditioning circuits and interfaces for sensors. These include interface solutions for capacitive sensors, sigma--delta modulation used to combine a microprocessor compatible interface with on chip CMOS sensors, injectable sensors and responders, signal conditioning circuits and sensors combined with indirect converters. Part III: Communication Circuits concentrates on systems and implemented circuits for use in personal communication systems. These have applications in cordless telephones and mobile telephone systems for use in cellular networks. A major requirement for these systems is low power consumption, especially when operating in standby mode, so as to maximise the time between battery recharges.
Author : R. K. Rao Yarlagadda
Publisher : Springer Science & Business Media
ISBN 13 : 1441900349
Total Pages : 556 pages
Book Rating : 4.4/5 (419 download)
Download or read book Analog and Digital Signals and Systems written by R. K. Rao Yarlagadda and published by Springer Science & Business Media. This book was released on 2010-08-05 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic, comprehensive treatment of analog and discrete signal analysis and synthesis and an introduction to analog communication theory. This evolved from my 40 years of teaching at Oklahoma State University (OSU). It is based on three courses, Signal Analysis (a second semester junior level course), Active Filters (a first semester senior level course), and Digital signal processing (a second semester senior level course). I have taught these courses a number of times using this material along with existing texts. The references for the books and journals (over 160 references) are listed in the bibliography section. At the undergraduate level, most signal analysis courses do not require probability theory. Only, a very small portion of this topic is included here. I emphasized the basics in the book with simple mathematics and the soph- tication is minimal. Theorem-proof type of material is not emphasized. The book uses the following model: 1. Learn basics 2. Check the work using bench marks 3. Use software to see if the results are accurate The book provides detailed examples (over 400) with applications. A thr- number system is used consisting of chapter number – section number – example or problem number, thus allowing the student to quickly identify the related material in the appropriate section of the book. The book includes well over 400 homework problems. Problem numbers are identified using the above three-number system.
Author : Peter B. Aronhime
Publisher : Springer Science & Business Media
ISBN 13 : 1475745036
Total Pages : 98 pages
Book Rating : 4.4/5 (757 download)
Download or read book Analog Signal Processing written by Peter B. Aronhime and published by Springer Science & Business Media. This book was released on 2013-04-09 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analog Signal Processing brings together in one place important contributions and state-of-the-art research results in this rapidly advancing area. Analog Signal Processing serves as an excellent reference, providing insight into some of the most important issues in the field.
Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799817555
Total Pages : 2075 pages
Book Rating : 4.7/5 (998 download)
Download or read book Robotic Systems: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2020-01-03 with total page 2075 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medicine, social services, and agriculture. Continued research on robotic design is critical to solving various dynamic obstacles individuals, enterprises, and humanity at large face on a daily basis. Robotic Systems: Concepts, Methodologies, Tools, and Applications is a vital reference source that delves into the current issues, methodologies, and trends relating to advanced robotic technology in the modern world. Highlighting a range of topics such as mechatronics, cybernetics, and human-computer interaction, this multi-volume book is ideally designed for robotics engineers, mechanical engineers, robotics technicians, operators, software engineers, designers, programmers, industry professionals, researchers, students, academicians, and computer practitioners seeking current research on developing innovative ideas for intelligent and autonomous robotics systems.
Author : Manuel Barros
Publisher : Springer
ISBN 13 : 3642123465
Total Pages : 247 pages
Book Rating : 4.6/5 (421 download)
Download or read book Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques written by Manuel Barros and published by Springer. This book was released on 2010-04-13 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The microelectronics market, with special emphasis to the production of complex mixed-signal systems-on-chip (SoC), is driven by three main dynamics, time-- market, productivity and managing complexity. Pushed by the progress in na- meter technology, the design teams are facing a curve of complexity that grows exponentially, thereby slowing down the productivity design rate. Analog design automation tools are not developing at the same pace of technology, once custom design, characterized by decisions taken at each step of the analog design flow, - lies most of the time on designer knowledge and expertise. Actually, the use of - sign management platforms, like the Cadences Virtuoso platform, with a set of - tegrated CAD tools and database facilities to deal with the design transformations from the system level to the physical implementation, can significantly speed-up the design process and enhance the productivity of analog/mixed-signal integrated circuit (IC) design teams. These design management platforms are a valuable help in analog IC design but they are still far behind the development stage of design automation tools already available for digital design. Therefore, the development of new CAD tools and design methodologies for analog and mixed-signal ICs is ess- tial to increase the designer’s productivity and reduce design productivitygap. The work presented in this book describes a new design automation approach to the problem of sizing analog ICs.
Author : Alenka Zajić
Publisher : Springer Nature
ISBN 13 : 3031385799
Total Pages : 474 pages
Book Rating : 4.0/5 (313 download)
Download or read book Understanding Analog Side Channels Using Cryptography Algorithms written by Alenka Zajić and published by Springer Nature. This book was released on 2023-11-01 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers the latest research results on analog side channels and their usage in cybersecurity. It demystifies analog side channels and demonstrates new use cases for them. The first part of this book discusses how analog side channels are generated, the physics behind it, the modeling and measurements of analog side channels, and their analogies to wireless communication systems. The second part of this book introduces new applications that benefit from leveraging side channels. In addition to breaking cryptography algorithms, it demonstrates how analog side channels can be used for malware detection, program profiling, hardware profiling, hardware/software attestation, hardware identification, and hardware Trojan detection. Side channel is one of the methods for obtaining information about program execution. Traditionally, they are used in computer science to extract information about a key in cryptographic algorithms. What makes them different from other ways of extracting information about program execution is that side channels rely on how a system implements program execution, rather than what the program’s algorithm specifies. Analog side channels are particularly powerful because they are not easy to suppress or detect that someone is collecting information from the system. Although they are very powerful tools, they are poorly understood. This book targets advanced level students in computer science and electrical engineering as a textbook. Researchers and professionals working with analog side channels, how to model them, measure them, improve signal to noise ratio, and invent new signal processing techniques can also use this book. Computer scientists and engineers who want to learn new applications of side channels to improve system security, new techniques for breaking cryptography keys, new techniques for attestation, and new techniques for hardware Trojan detection will also want to purchase this book.
