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Computers in Cardiology (CinC)

作者： B. Al-Naami J. Chebil B. Trabsheh H. Mgdob Hashemite University Zarqa Jordan University of Sussex Brighton UK

ISBN: (纸本)9781424425327

FPGAs provide an ideal template for run-time reconfigurable (RTR) designs. Only recently have RTR enabling design tools that bypass the traditional synthesis and bit stream generation process for FPGAs become available. Heart auscultation which is the interpretation of sounds produced by the heart is a fundamental tool in the diagnosis of heart disease. It is the most commonly used technique for screening and diagnosis in primary health care. This study aims at utilizing the discrete wavelet packet transforms in early detection of an Aortic Stenosis (AS) using heart sound data collected at Sussex University Hospital in England. From the data analysis, a criteria has been proposed for the detection of the AS disease from the heart sound data.

关键词： signal processing algorithms Field programmable gate arrays Heart Cardiac disease Cardiovascular diseases Discrete wavelet transforms Runtime signal synthesis Medical services Wavelet packets

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A non-linear phase-only algorithm for active sonar signal processing

A non-linear phase-only algorithm for active sonar signal pr...

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OCEANS

作者： F. Chan E. Rabe Division Newport Naval Undersea Warfare Center RI USA

In highly reverberant environments the standard signal processing chain for wideband active sonar may be improved by using a phase-only filter to perform replica correlation. Because of the significant distortion of t... 详细信息

关键词： signal processing algorithms Sonar detection Reverberation Matched filters Wideband Frequency Filtering Phase distortion Bandwidth signal processing

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New programmable FFT implementations for radar signal processing

New programmable FFT implementations for radar signal proces...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： D.R. Bungard L. Lau T.L. Rorabaugh MITRE Corporation Bedford MA USA

The authors have designed two high-throughput, wide-dynamic-range, real-time FFT processors for use in advanced wide-bandwidth HF radar systems. These FFTs are capable of real-time operation at continuous throughput rates greater than 2 MHz with a programmable transform length of up to 16 K points. Either 32-b fixed-point or 32-b floating-point (IEEE format) computations can be performed. An interesting result is that both FFT design approaches provide approximately the same throughput rate, are approximately the same size (250 ICs), and require less than 100 W of power.< >

关键词： Radar signal processing signal processing algorithms Computer architecture Throughput signal design Pipelines Algorithm design and analysis Dynamic range Costs Digital signal processing chips

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Low-power reconfigurable signal processing via dynamic algorithm transformations (DAT)

Low-power reconfigurable signal processing via dynamic algor...

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： M. Goel N.R. Shanbhag Coordinated Science Laboratory/ECE Department University of Illinois Urbana-Champaign Urbana-Champaign IL USA

Presented in this paper are dynamic algorithm transformations (DAT) for systematic design of reconfigurable computing engines. These techniques allow dynamic alteration of algorithm properties in response to input non-stationarities. The input is modeled as a set of states with an underlying probability distribution, /spl Pscr//sub S/. For each input state s, a signal monitoring algorithm (SMA) computes a power-optimal configuration for the signal processing algorithm (SPA) block. A fraction /spl alpha/ of the (SPA) block is hardwired and the remaining (1-/spl alpha/) is reconfigurable. Similarly, the (SMA) block computation is partitioned into a fraction /spl beta/ for the memory and the remaining (1-/spl beta/) for the data path. For the given input state distribution, the optimal values of /spl alpha/ (/spl alpha//sub opt/) and /spl beta/ (/spl beta//sub opt/) are determined. It is shown that for frequency selective filtering (FIR filters), the power savings of 35%-45% can be achieved by a DAT-based reconfigurable system as compared to the traditional design based on the worst-case scenario.

关键词： signal processing algorithms Heuristic algorithms Optimized production technology Finite impulse response filter Algorithm design and analysis Engines Power system modeling Probability distribution signal processing Monitoring

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Evaluation of storage requirements and applications in the memory management for multidimensional signal processing systems

Evaluation of storage requirements and applications in the m...

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IEEE International Conference on Electro-Information Technology

作者： Ilie I. Luican Hongwei Zhu Florin Balasa Department of Computer Science University of Illinois Chicago Chicago IL USA ARM Inc. Sunnyvale CA USA

The amount of the data storage in signal processing systems, whose behavior is described by loop-organized algorithmic specifications, has an important impact on the overall energy consumption, chip area, as well as system performance. This paper presents a non-scalar approach for computing exactly the minimum data storage for high-level procedural specifications, where the main data structures are multi-dimensional arrays. In contrast, all the previous works are only estimation methods. In addition, the paper discusses two applications of this technique in the memory management of signal processing systems: (1) the evaluation of the impact of loop transformations on the data storage, and (2) the assessment of different models of mapping multi-dimensional signals into the physical memory.

关键词： Memory management Multidimensional signal processing signal processing algorithms Energy consumption System performance Data structures signal processing Computational modeling Production Energy storage

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A novel approach to the convergence of neural networks for signal processing

A novel approach to the convergence of neural networks for s...

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IEEE International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA)

作者： Ruey-Wen Liu Yih-Fang Huang Xie-Ting Ling Department of Electrical Engineering University of Notre Dame Notre Dame IN USA Department of Electronic Engineering Fudan University Shanghai China

ISBN: (纸本)0780320700

Summary form only given. A novel deterministic approach to the convergence of (stochastic) learning algorithms is presented. The link is the new concept of time-average invariance which is a property of deterministic signals but resembles the realizations of stochastic signals that are ergodic and stationary. An unsupervised learning algorithm is considered. signals are viewed as deterministic functions, but satisfy a property called time-average invariance. As such, deterministic-based analysis can be applied to stochastic-like signals. Consequently, the complexity of the convergence analysis is significantly reduced.< >

关键词： Convergence Neural networks signal processing signal processing algorithms Stochastic processes Equations Unsupervised learning Counting circuits signal analysis

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PVL: An object oriented software library for parallel signal processing

PVL: An object oriented software library for parallel signal...

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Annual IEEE Symposium on Foundations of Computer Science

作者： E. Rutledge J. Kepner MIT Lincoln Laboratories USA

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Real-time signal processing consumes the majority of the world's computing power. Increasingly, programmable parallel microprocessors are used to address a wide variety of signal processing applications (e.g. scientific, video, wireless, medical, communication, encoding, radar, sonar and imaging). In programmable systems the major challenge is no longer hardware but software. Specifically, the key technical hurdle lies in mapping (i.e., placement and routing) of an algorithm onto a parallel computer in a general manner that preserves software portability. We have developed the Parallel Vector Library (PVL) to allow signal processing algorithms to be written using high level Matlab like constructs that are independent of the underlying parallel mapping. Programs written using PVL can be ported to a wide range of parallel computers without sacrificing performance. Furthemore, the mapping concepts in PVL provide the infrastructure for enabling new capabilities such as fault tolerance, dynamic scheduling and self-optimization. This presentation discusses PVL with particular emphasis on quantitative comparisons with standard parallel signal programming practices.

关键词： Software libraries signal processing Video signal processing signal processing algorithms Concurrent computing Military computing Microprocessors Application software Wireless communication

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Insights Into algorithms for Separable Nonlinear Least Squares Problems

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IEEE TRANSACTIONS ON IMAGE processing 2021年 30卷 1207-1218页

作者： Chen, Guang-Yong Gan, Min Wang, Shuqiang Chen, C. L. Philip Univ Macau Fac Sci & Technol Zhuhai Macau Peoples R China Qingdao Univ Coll Comp Sci & Technol Qingdao 266071 Peoples R China Fuzhou Univ Coll Math & Comp Sci Fuzhou 350108 Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen 518055 Peoples R China South China Univ Technol Sch Comp Sci & Engn Guangzhou 510641 Peoples R China

Separable nonlinear least squares (SNLLS) problems have attracted interest in a wide range of research fields such as machine learning, computer vision, and signal processing. During the past few decades, several algorithms, including the joint optimization algorithm, alternated least squares (ALS) algorithm, embedded point iterations (EPI) algorithm, and variable projection (VP) algorithms, have been employed for solving SNLLS problems in the literature. The VP approach has been proven to be quite valuable for SNLLS problems and the EPI method has been successful in solving many computer vision tasks. However, no clear explanations about the intrinsic relationships of these algorithms have been provided in the literature. In this paper, we give some insights into these algorithms for SNLLS problems. We derive the relationships among different forms of the VP algorithms, EPI algorithm and ALS algorithm. In addition, the convergence and robustness of some algorithms are investigated. Moreover, the analysis of the VP algorithm generates a negative answer to Kaufman's conjecture. Numerical experiments on the image restoration task, fitting the time series data using the radial basis function network based autoregressive (RBF-AR) model, and bundle adjustment are given to compare the performance of different algorithms.

关键词： Jacobian matrices Optimization signal processing algorithms Partitioning algorithms Bundle adjustment Analytical models Robustness Variable projection separable nonlinear least-squares problem parameter estimation image restoration RBF-AR model bundle adjustment

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ULTRA-WIDE-BAND IMPULSE SCATTERING MEASUREMENTS

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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 1994年第6期42卷 840-846页

作者： MORGAN, MA Electrical and Computer Engineering Department Naval Postgraduate School Monterrey CA USA

A recently upgraded laboratory is described for measurement of ultra-wideband (1-20 GHz) impulse scattering responses from scale model radar targets. A linear systems model is introduced, leading to new measurement concepts and signal processing algorithms for estimating the target's scattering response to a user-defined impulse waveform. The experimental and processing procedures serve to eliminate clutter and antenna coupling, while compensating for antenna characteristics in the system. Experimental validations are examined and planned enhancements are discussed.

关键词： RADAR TARGETS Ultra wideband technologies broadcasting Procedures(process) signal processing algorithms clutter Systems modelling ANTENNA

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GENERAL-SYNTHESIS PROCEDURES FOR FIR LOSSLESS TRANSFER-MATRICES, FOR PERFECT-RECONSTRUCTION MULTIRATE FILTER BANK APPLICATIONS

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND signal processing 1988年第10期36卷 1561-1574页

作者： DOGANATA, Z VAIDYANATHAN, PP NGUYEN, TQ Department of Electrical Engineering California Institute of Technology Pasadena CA USA

A recently reported procedure (see ibid., ***-35, p.476-492, Apr. 1987 and Proc. IEEE Int. Conf. Acoust., Speech, Sig processing, Apr. 1987, p.2169-2172) for the design of M-channel perfect-reconstruction quadrature mirror filter (QMF) bands uses the concept of lossless alias-component matrices. The synthesis of such QMF banks centers around the generation of a lossless M*M finite-impulse response (FIR) transfer matrix E(z). Recent results for such generation have been somewhat ad hoc, i.e. not sufficiently general. A general procedure is outlined for the generation of such transfer matrices. The procedure is based on a cascaded-lattice structure, derived from a state-space viewpoint. The structure is such that it generates only M*M lossless FIR transfer matrices (regardless of parameter values), and conversely, any M*M lossless FIR transfer matrix can be obtained by a suitable choice of parameters. These parameters turn out to be angles theta /sub k/, and the structure is such that the number of angles is minimal. A design example is presented to demonstrate the main results.< >

关键词： Finite impulse response filter Filter bank Mirrors signal processing algorithms Algorithm design and analysis Conference proceedings Speech processing Acoustic signal processing

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