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检索条件"主题词=Signal Processing Algorithms"

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On design strategies for parallel algorithms in signal processing using graph models

On design strategies for parallel algorithms in signal proce...

引用

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

作者： J. Lenzer G. Wieber Institut Fuer Uebertragungstechnik Institut fuer Netzwerk-und Signaltheorie Technische Hochschule Darmstadt Darmstadt Germany

To reduce computation time in a multiprocessor environment the efficient configuration and utilization of hardware components is necessary. It requires both a restructuring of the considered algorithms and a reconfiguration of the corresponding machine architectures. A transformation system is presented, which uses computation graphs as a representation of both the algorithmic structure and the processor configuration. The system is able to rewrite the computation graph automatically, dependent on the available hardware resources. In this paper the design strategy for algorithms and machine models is illustrated by the DFT. Several models for the algorithm are discussed. Finally the results of time and hardware complexity with regard to the different graph structures and machine architectures are presented.

关键词： signal design Algorithm design and analysis Parallel algorithms signal processing algorithms Hardware Concurrent computing Computer architecture Digital signal processing Parallel processing Design methodology

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Implementing dynamic programming algorithms for signal and image processing on array processors

Implementing dynamic programming algorithms for signal and i...

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Workshop on VLSI signal processing

作者： W.H. Chou K.I. Diamantaras S.Y. Kung Princeton University Princeton NJ US Department of Electrical Engineering Princeton University Princeton NJ USA

The authors present the implementation of a generic dynamic programming algorithm on array processors. A dynamic programming (DP) chip is proposed to speed up the processing of the dynamic programming tasks in many applications, including the Viterbi algorithm, the boundary following algorithm, the dynamic time warping algorithm, etc. By adopting a torus interconnection network, an internal/external dual buffer structure, and a multilevel pipelining design, a performance of several GOPS per DP chip is expected. Both the dedicated hardware design and the data low control of the DP chip are discussed.< >

关键词： Dynamic programming Heuristic algorithms signal processing Image processing signal processing algorithms Cost function Viterbi algorithm Pipeline processing Hardware Multiprocessor interconnection networks

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A Benchmark Study of Deep Learning algorithms for PPG signal processing

A Benchmark Study of Deep Learning Algorithms for PPG Signal...

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ELEKTRO

作者： Jana Sturekova Patrik Kamencay Adam Skrvan Roberta Hlavata Department of Multimedia and Information-Communication Technology University of Zilina Zilina Slovakia

ISBN: (数字)9798350372359

ISBN: (纸本)9798350372366

This study delves into extracting Photoplethysmography (PPG) signals from images using various neural network architectures. The research aims to assess the effectiveness of different models in capturing PPG values from snapshots of the dataset. Two training approaches were investigated: pretraining the model with only the fully connected part being trained or training the entire network. Results demonstrate that the models trained from scratch outperform their pretrained counterparts. Among the architectures, DenseNet121 shows the most promising results. The findings highlight the potential of utilising neural networks for PPG signal extraction, with applications ranging from surgical planning to personalised medical treatments. This research represents a significant stride in integrating advanced imaging techniques and neural networks in biomedical engineering.

关键词： Training Deep learning Neural networks Surgery signal processing algorithms Imaging signal processing

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Detection algorithms for hyperspectral imaging applications: a signal processing perspective

Detection algorithms for hyperspectral imaging applications:...

引用

IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

作者： D. Manolakis MIT Lincoln Laboratories Lexington MA USA

The purpose of this paper is to present a unified, simplified, and concise, overview of spectral target detection algorithms for hyperspectral imaging applications. We focus on detection algorithms derived using established statistical techniques and whose performance is predictable under reasonable assumptions about hyperspectral imaging data. The emphasis on a signal processing perspective helps to, better understand the strengths and limitations of each algorithm, avoid unrealistic performance expectations, and apply an algorithm properly and sensibly.

关键词： Detection algorithms Hyperspectral imaging signal processing algorithms Object detection Reflectivity Detectors Testing Hyperspectral sensors Sensor phenomena and characterization Electromagnetic measurements

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Applications of output error recursive estimation algorithms for adaptive signal processing

Applications of output error recursive estimation algorithms...

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

作者： I. Landau L. Dugard S. Cabrera Laboratoire d'Automatique Grenoble ENSIEG Saint-Martin d'Heres France

Several problems in signal processing can be approached as recursive identification problems for AR, ARMA or ARMAX models. The output error with extended estimation model adaptive algorithm is proposed and evaluated for real-time estimation of the parameters of the signal model. The applications of these techniques for the adaptive signal processing are presented. The theoretical aspects related to the convergence properties of this algorithm are also discussed.

关键词： Recursive estimation signal processing algorithms Adaptive signal processing Predictive models Estimation error Algorithm design and analysis Random variables Maximum likelihood detection Context modeling Adaptive algorithm

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Influence of signal Pre-processing in the Efficiency of algorithms Based on Neural Networks for Disturbance Classification

Influence of Signal Pre-Processing in the Efficiency of Algo...

引用

IEEE Symposium on Computational Intelligence in Image and signal processing, CIISP

作者： M.F. de Medeiros C.K.S. Santos J.T. de Oliveira P.Sda.M. Pires J.D. de Melo A.D.D. Neto J.J.A.L. Leitao DCA UFRN Natal Brazil Universidade Federal do Rio Grande do Norte Natal RN BR

Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in power systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances $providing an automatic assessment - techniques of digital signal processing can be helpful. The Wavelet Transform has become a very efficient tool for the analysis of voltage or current signals, obtained immediately after disturbances occurrences in the network. This paper presents a methodology based on the discrete wavelet transform to implement this process. It uses a comparison between distribution curves of signals energy, with and without disturbance. This is done for different resolution levels of its decomposition in order to obtain descriptors that permit its classification, using artificial neural networks

关键词： Neural networks Discrete wavelet transforms signal analysis Power system management signal processing algorithms Information analysis signal processing Power system analysis computing Energy management Digital signal processing

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algorithms for signal processing of grid receiver for laser radiation

Algorithms for signal processing of grid receiver for laser ...

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International Conference on Advanced Optoelectronics and Lasers (CAOL)

作者： N.G. Kokodiy V.A. Timanyuk A.O. Pak National University of Pharmacy Kharkiv Ukraine Kharkov National University Kharkiv Ukraine

Grid receivers intend for measuring of spatial-energetic characteristics of laser radiation - intensity distribution, diameter and energetic center coordinates of radiation beams. They contain several wire grids, whic... 详细信息

关键词： signal processing algorithms Bolometers Optical receivers Laser beams Wire Optical signal processing Electrical resistance measurement Immune system Coordinate measuring machines Energy measurement

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Performance analysis of the weighted window CFAR algorithms [radar signal processing]

Performance analysis of the weighted window CFAR algorithms ...

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IEEE International Conference on Radar

作者： Meng Xiangwei Guan Jian He You Department of Electronic Engineering Naval Aeronautical Engineering Academy Yantai Shandong China

ISBN: (纸本)0780378709

With the deterioration of radar operation environment and the enhancement of menace to radar, the task of radar target detection becomes more complicated. Such as the detection of airplane, ship or cruise missile in over the horizon radar (OTHR), and the detection of moving targets in synthetic aperture radar (SAR). Therefore, it is necessary to make a further study of CFAR algorithms. The performance of the conventional cell averaging (CA) algorithm is the best in a homogeneous background since it uses the maximum likelihood estimate of the noise power to set the adaptive threshold. But if the interfering target is present in the reference window with a target return in the test cell, severe masking of targets appears due to increased threshold. In order to overcome this problem, the ordered statistic (OS) and the trimmed mean (TM) algorithms, using a trimmed technique, are proposed. If the reference sample number is not too big, the CFAR loss of OS and TM increase greatly. This case can usually be encountered in a complicated environment and lower SNR situation. In this paper, a weighted window techniques such as rectangle, stepped and trapezium windows are discussed. The analysis results show that the weighted window technique can greatly improve in a homogeneous background and obtain an immune ability to interfering targets to some extent.

关键词： Performance analysis signal processing algorithms Radar signal processing Radar detection Synthetic aperture radar Object detection Airplanes Marine vehicles Missiles Airborne radar

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signal processing Model and Receiver algorithms for a Higher Rate Multi-User TR-UWB System

Signal Processing Model and Receiver Algorithms for a Higher...

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

作者： Quang Hieu Dang Alle-Jan van der Veen Department of Electrical Engineering (EEMCS) Delft University of Technnology Delft Netherlands

Transmit-reference (TR) schemes are commonly used only in low data rate ultra-wideband (UWB) systems because of many restrictions on the pulse spacing, frame and symbol periods (should be longer than the channel length). This paper extends our previous research that tries to remove these restrictions to enable a higher data rate application in a multiuser context. Based on the fact that most UWB channels are highly uncorrelated, we can formulate a CMDA-like signal processing model for an asynchronous multiuser system. Blind and iterative algorithms are derived, of which the performances are compared and verified in simulations.

关键词： signal processing algorithms Interference Data models Delay Ultra wideband technology Iterative algorithms Sampling methods Narrowband Context modeling signal sampling

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The programming environment for accelerating the implementation of algorithms for digital signal processing on the platform with built-in resources

The programming environment for accelerating the implementat...

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Telecommunications Forum (TELFOR)

作者： Vladimir Radosavljević Strahinja Petrović Ivan Kaštelan Željko Lukač Miodrag Temerinac

In this paper we propose a programming environment that aim to enable fast development and implementation of algorithms for digital signal processing on embedded devices. This approach has been verified in education o... 详细信息

关键词： MATLAB Electronic mail Mathematical model Digital signal processing Laboratories Programming environments signal processing algorithms

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