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检索条件"主题词=Signal processing algorithms"

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Development of signal processing algorithms for De-noising of ECG signals in Wearable Systems and Testing for Arrhythmia using CNN Model

Development of Signal Processing Algorithms for De-noising o...

引用

Innovations in Power and Advanced Computing Technologies (i-PACT)

作者： Aryan Shekhar Shivam Hota P. Mahalakshmi A. Sharmila School of Electrical Engineering VIT Vellore

ISBN: (纸本)9781665426923

Wireless Data Communication is an emerging prospect of technology in the current world scenario. processing an ECG signal to drive out informative insights needs the signal to be noise free. If the noise persists, it can damage the complete signal and it cannot be used for healthcare processes. De-noising techniques are employed to reduce the noise levels in the signal such that it can be further used for diagnosis. The various types of noise in an ECG signal are: Powerline Interference, Electrode Contact noise, Muscle Contraction noise, Baseline Wander and Instrumentation noise. The paper will give a detailed explanation of the different types of noise and their reduction techniques implemented in MATLAB R2017a which are compared on various parameters. Further, using image dataset of normal and abnormal heartbeat, a CNN model is proposed which classifies the heartbeat from ECG signal as arrhythmia or normal with an accuracy of 92.62%. This algorithm will de-noise the signal as well as check for arrhythmia in a feasible and accurate way.

关键词： Wireless communication Technological innovation Heart beat Noise reduction signal processing algorithms Electrocardiography Muscles

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On mapping signal processing algorithms to a heterogeneous multiprocessor system

On mapping signal processing algorithms to a heterogeneous m...

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

作者： K.-W. Chow B. Liu Princeton University Princeton NJ USA

The implementation of signal processing algorithms on a heterogeneous multiprocessor system is examined. The signal processing algorithm, represented as a directed signal flow graph, is mapped to the multiprocessor system for execution. A heuristic scheme aimed at producing a schedule of minimum execution time is proposed. Communication overhead is incorporated in the scheduling. Simulation results are presented using both the proposed heuristic scheme and an optimum scheme based on the branch-and-bound approach. The heuristic results fall within a reasonable range from the optimal schedule.< >

关键词： signal mapping signal processing algorithms Multiprocessing systems Optimal scheduling Flow graphs signal processing Scheduling algorithm Processor scheduling Computer architecture Throughput

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Predicting the complexity of signal processing algorithms

Predicting the complexity of signal processing algorithms

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IEEE International Conference on Image processing

作者： J. Reichel Research & Development Center Visio Wave Corporation Ecublens Switzerland

Predicting the complexity of a signal processing task is a very difficult subject, mainly because the notion of complexity itself is not well defined. We propose to link the complexity to the predicted execution of an algorithm on a given platform or processor. To do so branches, arithmetic and memory operations are classified into different types of category. Then the number of time operations of each category executed is computed for the studied algorithm. Finally weights depending on the underlying architecture are used to sum up the contribution of each category to get the final complexity. Typical weights for two Pentium processors are presented and the validity of the prediction is verified for the case of a simple algorithm.

关键词： signal processing algorithms Arithmetic Computer architecture Time measurement Counting circuits Research and development signal processing Testing Bandwidth Weight measurement

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Vector processing in scalar processors for signal processing algorithms

Vector processing in scalar processors for signal processing...

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

作者： M.T. Brady J.Q. Trelewicz J.L. Mitchell Printing Systems Division IBM Boulder CO USA IBM Thomas J. Watson Research Center Yorktown Heights NY USA

Product requirements often dictate the use of off-the-shelf processors for very fast signal processing applications. Additionally, restrictions on cost, power, or size/weight may preclude the use of specialized vector processors for implementation of the algorithms. We discuss a new method for performing signed parallel processing in scalar, off-the-shelf processors for integerized signal processing algorithms. Uniform data precision may be used, but is not required for the method. It is shown that the reduction in execution cycles resulting from this implementation is approximately linear in the size of the registers, divided by the precision required.

关键词： signal processing algorithms Parallel processing Registers Arithmetic Discrete cosine transforms Printing Road transportation Costs Vector processors Linear approximation

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Fast signal processing algorithms for Noise Radars

Fast Signal Processing Algorithms for Noise Radars

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European Radar Conference (EURAD)

作者： R.B. Sinitsyn A.J. Beletsky Department of Electronic National Aviation University Kiev Ukraine

The paper presents new systems of orthogonal basic functions for fast signal processing algorithms, which can be used in different types of radars. The functional systems suggested allow us to use fast Fourier transform for calculating the convolution and the correlation function. The results were tested with the help of Monte-Carlo simulation as well as the physical radar model

关键词： signal processing algorithms Radar signal processing Acoustic noise Radar measurements Convolution Radar imaging Radar detection Noise measurement Frequency Fast Fourier transforms

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Study of signal processing algorithms in Antenna Arrays Based on Heuristic Optimization Methods

Study of Signal Processing Algorithms in Antenna Arrays Base...

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Systems of signal Synchronization, Generating and processing in Telecommunications (SYNCHROINFO)

作者： Maxim Lavrov E. I. Glushankov Zahar Kondrashov Evgenii Rylov Dept. of Radiosystems and Signal Processing Bonch-Bruevich State University of Telecommunications Saint-Petersburg Russia General manager JVC “NIIMA “PROGRESS” Saint-Petersburg Russia General manager JSC “PCB “RIO” Saint-Petersburg Russia

ISBN: (数字)9798350373448

ISBN: (纸本)9798350373455

The article addresses methods of adaptive signal processing in transmitting antenna arrays to enhance the interference resilience of digital radio links. It examines the usage of heuristic optimization algorithms for forming antenna array patterns considering the directions of signal and interference arrivals. The article presents algorithms of the matrix method for direct calculation of the required antenna pattern and optimization methods based on particle swarm optimization and salp swarm algorithms. To assess the effectiveness of the algorithms, simulations were conducted using a seven-element antenna array as an example. The research results demonstrate the potential for effectively adapting antenna array patterns to various interference conditions. Further research aims to conduct a comparative analysis of algorithm efficiency to determine the most energy-efficient method.

关键词： Array signal processing Heuristic algorithms Transmitting antennas signal processing algorithms Adaptive arrays Optimization methods Interference

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Efficiency of the signal processing algorithms using signal-flow based mapping tool

Efficiency of the signal processing algorithms using signal-...

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International Conference on Radioelektronika

作者： Roman Mego Tomas Fryza Department of Radio Electronics Brno University of Technology Brno Czech Republic

This paper is dealing with the implementation of the signal processing algorithms, specifically the Fast Fourier Transform and the matrix multiplication, using the new tool for mapping instructions on functional units of the processor. The tool is using the signal-flow based description of the algorithm instead of the sequential notation of the program execution. The selected target processor is a multi-core digital signal processor based on the very long instruction word architecture. The final assembly code is analyzed in terms of utilization of the functional units and general purpose registers.

关键词： Registers signal processing algorithms VLIW Digital signal processing Parallel processing Digital signal processors Computer architecture

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Adaptive signal processing algorithms using sigma delta architectures

Adaptive signal processing algorithms using sigma delta arch...

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Asilomar Conference on signals, Systems & Computers

作者： J. Juni R.W. Stewart Signal Processing Division Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK

Using oversampled sigma-delta (/spl Sigma/-/spl Delta/) techniques a signal can be represented as a single bit binary data stream ({-1, 1}), with the quantization noise high pass filtered out of baseband. In this paper adaptive LMS digital filters are presented that directly use binary /spl Sigma/-/spl Delta/ input streams and update the PCM adaptive filter weights at the oversampled rate to realize architectures that are very suitable for mixed analog/digital VLSI implementation. Using the /spl Sigma/-/spl Delta/ adaptive architecture PCM values are multiplied by single bits, and can therefore be easily performed by a simple multiplexor. Also using the /spl Sigma/-/spl Delta/ approach, the decimation and interpolation stages required for converting from /spl Sigma/-/spl Delta/ to PCM (and vice-versa) suitable for Nyquist DSP algorithms are circumvented. The paper describes the sigma delta adaptive LMS filter architecture and presents preliminary results for adaptive echo cancellation using adaptive sigma delta and standard PCM architectures.< >

关键词： Adaptive signal processing signal processing algorithms Delta-sigma modulation Phase change materials Least squares approximation Adaptive filters Quantization Baseband Digital filters Very large scale integration

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Digital signal processing algorithms for power quality assessment

Digital signal processing algorithms for power quality asses...

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International Conference on Industrial Electronics, Control and Instrumentation

作者： M. Kezunovic B. Peruncic Department of Electrical Engineering Texas A and M University College Station TX USA Dept. of Electr. Eng. Texas A&M Univ. College Station TX USA

The authors introduce novel digital signal processing algorithms which can be used to measure various power system indicators, which, in turn, may be utilized for power quality assessment. They first discuss the signal analysis problem by providing classification of the assumptions about signal characteristics. Specific characteristics are a consequence of different power system disturbances. Two different classes of digital signal processing algorithms are introduced. These algorithms can be used for measurement of various quantities which may be used to characterize given disturbances. An approach to power quality assessment based on various measurements is illustrated by some examples.< >

关键词： Digital signal processing signal processing algorithms Power quality Power measurement Power system harmonics Power system measurements signal analysis signal processing Distortion Costs

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Efficient mapping of advanced signal processing algorithms on multi-processor architectures

Efficient mapping of advanced signal processing algorithms o...

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IEEE Workshop on signal processing Systems (SIPS)

作者： Bhavana B. Manjunath Aaron S. Williams Chaitali Chakrabarti Antonia Papandreou-Suppappola Department of Electrical Engineering Arizona State University Tempe AZ USA

Modern microprocessor technology is migrating from simply increasing clock speeds on a single processor to placing multiple processors on a die to increase throughput and power performance in every generation. To utilize the potential of such a system, signal processing algorithms have to be efficiently parallelized so that the load can be distributed evenly among the multiple processing units. In this paper, we study several advanced deterministic and stochastic signal processing algorithms and their computation using multiple processing units. Specifically, we consider two commonly used time-frequency signal representations, the short-time Fourier transform and the Wigner distribution, and we demonstrate their parallelization with low communication overhead. We also consider sequential Monte Carlo estimation techniques such as particle filtering, and we demonstrate that its multiple processor implementation requires large data exchanges and thus a high communication overhead. We propose a modified mapping scheme that reduces this overhead at the expense of a slight loss in accuracy, and we evaluate the performance of the scheme for a state estimation problem with respect to accuracy and scalability.

关键词： signal mapping signal processing algorithms Microprocessors Clocks Throughput Power generation Stochastic processes Time frequency analysis signal representations Fourier transforms

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