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IEEE Southeastcon

作者： S.T. Alexandre W.E. Alexander D.S. Reeves Departments of Electrical and Computer Engineering and Computer Science North Carolina State University Raleigh NC USA

The real-time implementation of many digital signal processing (DSP) algorithms requires novel algorithm mapping methods and architectures. Some of the architectures developed thus far include data-flow systems, systolic arrays, and wavefront arrays. Ideas from these architectures are combined with the concept of block data flow processing to present the block data flow architecture (BDFA). Key features of the BDFA include direct input/output to all processors, linear data-flow, and globally asynchronous operation. Use of the BDFA for 2-D filtering is presented and analyzed. The analysis is facilitated using timing results generated by a simulator developed with the C programming language. Development of the simulator is discussed in terms of how an architecture like the BDFA can be described and simulated in C. Simulation results show that the increase in throughput with the number of processors is nearly linear.< >

关键词： signal processing signal processing algorithms Digital signal processing Array signal processing signal mapping Systolic arrays Filtering Timing Analytical models Computer languages

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Comparison of malfunction diagnosis sensibility for direct and inverse ECG signal processing methods

Comparison of malfunction diagnosis sensibility for direct a...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： S.M. Szilagyi Z. Benyo L. Szilagyi Department of Control Engineering and Information Technology Budapest University of Technology and Economics Budapest Hungary

Several types of heart malfunctions are usually caused by heart attack, rhythm disturbances and pathological degenerations. Unfortunately large groups of people are affected by this problem. The main goal of this paper is to compare the direct and inverse ECG signal processing methods, and to define an optimal solution in different circumstances. Due to the high number of unknown parameters, both algorithms apply stochastic processing methods. None of the processing ways can give us "best" results. The performance is determined by the known and unknown parameters. In most cases both methods can contribute to the optimal solution.

关键词： Electrocardiography signal processing Heart Neural networks Databases signal processing algorithms Adaptive filters Cardiac arrest signal analysis Adaptive systems

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signal processing building blocks for pipelined A/D converter

Signal processing building blocks for pipelined A/D converte...

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： K. Wawryn R. Suszyhski B. Strzeszewski Department of Electronics Technical University of Koszalin Poland Dept. of Electron. Tech. Univ. of Koszalin Poland

The paper presents a high speed and a high resolution pipelined A/D converter relying on a current mode technique. The A/D converter structure is composed of current mode building blocks. All building blocks have been... 详细信息

关键词： signal processing Circuits Delay Switching converters Manufacturing CMOS technology Analog-digital conversion signal resolution signal processing algorithms Prototypes

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Graphic oriented signal processing language-GOSPL

Graphic oriented signal processing language-GOSPL

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

作者： C. Covington G. Carter D. Summers Department of Electrical Engineering University of Arkansas Fayetteville AR USA

In an effort to produce more efficient means of transforming new algorithm concepts into working models, this paper describes the development of a digital signal processing workstation accepting input entirely in graphic form. This Graphic Oriented signal processing Language (GOSPL) accepts flow graph information in block diagram form using a mouse input device. The researcher uses the mouse to describe graph connections and create function blocks in the flow graph by selecting them from a menu. The system executes a broad class of flow graphs and provides virtual instruments to monitor signals throughout the graph during real-time execution.

关键词： Graphics signal processing signal processing algorithms Workstations Digital signal processing Flow graphs Instruments Speech Mice Real time systems

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Generic vs custom;analogue vs digital: On the implementation of an online EEG signal processing algorithm

Generic vs custom;analogue vs digital: On the implementation...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Alexander J. Casson Esther Rodriguez-Villegas Department of Electrical and Electronic Engineering Imperial College London UK

This paper quantifies the performance difference between custom and generic hardware algorithm implementations, illustrating the challenges that are involved in Body Area Network signal processing implementations. The... 详细信息

关键词： signal processing algorithms Power demand Electroencephalography signal processing Transmitters Body area networks Batteries

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Detection Scheme for MIMO Systems Based on Covariance Shaping Least Squares Estimator in Quantum signal processing

Detection Scheme for MIMO Systems Based on Covariance Shapin...

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9th International Conference on signal processing(第九届国际信号处理学术会议)(ICSP'08)

作者： Sheng-mei ZHAO Zhi-gang SHEN Bao-yu ZHENG Nanjing University of Posts & Telecommunications NanjingChina210003

Covariance shaping least squares estimator is a new kind of linear estimator based on covariance shaping in quantum signal processing (QSP) *** this paper,we apply the covariance shaping least squares (CSLS) estimator to the detection of MIMO systems that leads to a new detection algorithm,covariance shaping MIMO detection *** derive the formalism of covariance shaping MIMO detection algorithm,and analyze its performance by numerical *** results show that the performance of system is better than that of detection algorithm with Zero-forcing and MMSE solutions,and the objective covariance matrix plays an important role in the proposed scheme

关键词： MIMO Least squares approximation signal processing signal processing algorithms Quantum mechanics Detection algorithms Multiuser detection Communication systems Hilbert space Mechanical variables measurement

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A DECOUPLED APPROACH FOR OPTIMAL ESTIMATION OF TRANSFER-FUNCTION PARAMETERS FROM INPUT-OUTPUT DATA

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IEEE TRANSACTIONS ON signal processing 1994年第5期42卷 1275-1278页

作者： SHAW, AK Department of Electrical Engineering Wright State University Dayton OH USA

A theoretical and algorithmic framework is proposed for optimal identification of rational transfer function parameters of discrete-time linear systems from input-output (IO) data. The nonlinear criterion is theoretically decoupled into a purely linear problem for estimating the optimal numerator and a nonlinear problem for the optimal denominator. The proposed decoupled approach has reduced computational requirements when compared with existing algorithms that estimate the parameters simultaneously.

关键词： Transfer functions signal processing algorithms Parameter estimation Iterative algorithms Convolution Linear systems Multidimensional signal processing Control theory Multidimensional systems Ear

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ARRAY BASED DESIGN OF DIGITAL-FILTERS

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IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND signal processing 1990年第9期38卷 1628-1632页

作者： ARAVENA, JL PORTER, WA UNIV ALABAMA DEPT ELECT & COMP ENGNHUNTSVILLEAL 35899

It is noted that signal processing designs for real-time large-scale systems are increasingly confronted with two conflicting objectives. The traditional objective of optimal design in low signal-to-noise ratio environments is confronted with the need for simplicity in implementation and speed of computation. The inclusion of high throughput and efficient hardware utilization as constraints on digital filter designs is considered. In particular, implementation of the design via an array processor is introduced. The concept of fast processing becomes synonymous with high throughout and efficient implementation on such a device. Using an array interpretation of the FFT structure, the retention of this highly efficient structure in a general design setting is demonstrated. For a typical signal extraction design, a constrained least-squares minimization is introduced to determine optimal enhancing filters with highly efficient array implementation.< >

关键词： Digital filters signal processing algorithms Speech Array signal processing Acoustic signal processing Acoustic distortion Real time systems Large-scale systems signal design Least squares approximation

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Optimization and Learning With Information Streams: Time-varying algorithms and applications

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IEEE signal processing MAGAZINE 2020年第3期37卷 71-83页

作者： Dall'Anese, Emiliano Simonetto, Andrea Becker, Stephen Madden, Liam Univ Colorado Boulder Dept Elect Comp & Energy Engn Boulder CO 80309 USA Univ Minnesota Minneapolis MN 55455 USA Natl Renewable Energy Lab Golden CO 80401 USA IBM Res Ireland Optimizat & Control Grp Dublin Ireland Delft Univ Technol Delft Netherlands Catholic Univ Louvain Louvain La Neuve Belgium IBM Res Yorktown Hts NY USA Univ Colorado Boulder Appl Math Dept Boulder CO USA

There is a growing cross-disciplinary effort in the broad domain of optimization and learning with streams of data, applied to settings where traditional batch optimization techniques cannot produce solutions at time scales that match the interarrival times of the data points due to computational and/or communication bottlenecks. Special types of online algorithms can handle this situation, and this article focuses on such time-varying optimization algorithms, with emphasis on machine leaning (ML) and signal processing (SP) as well as data-driven control (DDC). Approaches for the design of time-varying or online first-order optimization methods are discussed, with emphasis on algorithms that can handle errors in the gradient, as may arise when the gradient is estimated. Insights into performance metrics and accompanying claims are provided, along with evidence of cases where algorithms that are provably convergent in batch optimization may perform poorly in an online regime. The role of distributed computation is discussed. Illustrative numerical examples for a number of applications of broad interest are provided to convey key ideas.

关键词： Optimization signal processing algorithms Measurement Prediction algorithms Electronic mail Heuristic algorithms Clustering algorithms

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Projection-Free Stochastic Bi-Level Optimization

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IEEE TRANSACTIONS ON signal processing 2022年 70卷 6332-6347页

作者： Akhtar, Zeeshan Bedi, Amrit Singh Thomdapu, Srujan Teja Rajawat, Ketan Indian Inst Technol Kanpur Dept Elect Engn Kanpur 208016 India Univ Maryland Inst Syst Res College Pk MD 20742 USA

Bi-level optimization, where the objective function depends on the solution of an inner optimization problem, provides a flexible framework for solving a rich class of problems such as hyper-parameter optimization and model-agnostic meta-learning. This work puts forth the first Stochastic Bi-level Frank-Wolfe (SBFW) algorithm to solve the stochastic bi-level optimization problems in a projection-free manner. We utilize a momentum based gradient tracker that results in a sample complexity of O(epsilon(-3)) for convex outer objectives and O(epsilon(-4)) for non-convex outer objectives with strongly convex inner objectives. The stochastic compositional optimization problems (a special case of bi-level optimization problems entailing the minimization of a composition of two expected-value functions) are also considered within the same rubric. The proposed Stochastic Compositional Frank-Wolfe (SCFW) algorithm is shown to achieve a sample complexity of O (epsilon(-2)) for convex objectives and O(epsilon(-3)) for non-convex objectives, at par with the state-of-the-art rates of projection-free algorithms for single-level problems. The usefulness and flexibility of SBFW and SCFW algorithms are demonstrated via extensive numerical tests. We show that SBFW outperforms the state-of-the-art methods for the problem of matrix completion with denoising, and achieve improvements of up to 82% in terms of the wall-clock time required to achieve a particular level of accuracy. Furthermore, we demonstrate the improved performance of SCFW over the competing projection-free variants on the policy evaluation problem in reinforcement learning.

关键词： Optimization signal processing algorithms Stochastic processes Noise reduction Complexity theory Noise measurement Data models Bi-level stochastic optimization frank-wolfe algorithm projection free algorithm

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