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检索条件"主题词=Signal Processing Algorithms"

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Quasioptimal Spatiotemporal signal processing Algorithm for Radar Imaging

Quasioptimal Spatiotemporal Signal Processing Algorithm for ...

引用

International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science

作者： V. V. Pavlikov M. V. Nechyporuk Nguyen Van Huu A. D. Sobkolov Aerospace Radio-Electronic Systems Department National Aerospace University “Kharkiv Aviation Institure” Kharkiv Ukraine National Aerospace University “Kharkiv Aviation Institure” Kharkiv Ukraine

ISBN: (数字)9781728155661

ISBN: (纸本)9781728155678

The problem of algorithm synthesis for processing of the signals at the output of a spatially distributed antenna system for the formation of radio images from aerospace carriers has been solved. In order to synthesize the optimal algorithm, the maximum likelihood method was used. As a result of analyzing the physical nature of the signal processing operations, a transition to the quasi-optimal processing, which simplifies the technical implementation of the algorithm, is proposed. The main feature of this algorithm lies in the fact is that it allows to receive a radio image in the direction of the nadir within the range of angles that is currently not visible by the radars from aerospace carriers. In this range of angles, an image is usually formed by optical means. A scheme of the radar complex has been developed and modeling of radio image formation has been carried out in accordance with the algorithm.

关键词： geophysical image processing maximum likelihood estimation optimisation radar imaging Radar imaging maximum likelihood estimation signal processing algorithms radar signal processing algorithms Image formation images Angle Radio maximum likelihood NADIR

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Impact of architecture extensions for media signal processing on data-path organization

Impact of architecture extensions for media signal processin...

引用

Asilomar Conference on signals, Systems & Computers

作者： A.A. Faroqui V.G. Oklobdzija Synopsys Inc. Mountain View CA USA ACSEL Electrical and Computer Engineering Department University of California Davis CA USA

ISBN: (纸本)0780365143

Media signal processing requires high computing power and the algorithms exhibit a great deal of parallelism on low precision data. The basic components of multi-media objects are usually simple integers with 8, 12, or 16 bits of precision. In order to support efficient processing of media signals, instructions set architecture (ISA) of the traditional processors requires modifications. In this paper, we present the quantitative analysis and the computational complexity required to perform media processing. Main classes of instructions that are needed for the required level of performance of the Media Processor are identified. Their efficient implementation and effect on the processor datapath is discussed. The main operations required in media processing are Addition (with or without saturation), Multiplication (with or without rounding), Sum of Products, and Average of two numbers.

关键词： signal processing Computer architecture signal processing algorithms Microprocessors Instruction sets Concurrent computing Parallel processing Video compression Fast Fourier transforms Very large scale integration

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signal processing of automotive collision warning radar

Signal processing of automotive collision warning radar

引用

International Conference on signal processing Proceedings (ICSP)

作者： Zhang Jian-Hui Liu Guo-Sui Gu Hong Su Wei-Min RCEET Nanjing University of Science and Technology of PLA Nanjing Jiangsu China

A stepped-FMCW radar waveform applied to automotive collision warning systems (forward looking automotive collision warning radar (FLAR) or autonomous intelligent cruise control systems (AICC)) is proposed, which is easy to generate digitally and its signal processing reduced the requirement of the computational speed compared to the conventional high resolution radar. We also suggested a error approach algorithm for multiple vehicle target detection and confirmed its usefulness in eliminating the false target by computer simulation.

关键词： Radar signal processing Automotive engineering signal processing algorithms Alarm systems Intelligent systems Computational intelligence Intelligent control Intelligent vehicles Control systems signal generators

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signal processing for a non-invasive microwave heart rate estimator

Signal processing for a non-invasive microwave heart rate es...

引用

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

作者： S. Hunt A. Roseiro M. Siegel Department of Electrical Engineering Michigan State University East Lansing MI USA

A number of processing methods for estimating heart rate from low-level, remote microwave signals have been developed. From the return of a microwave signal reflected off the chest, a decision is made whether a heart beat signal is present, and if it is, an estimation of the heart rate is made. To achieve this, the return analog signal is amplified, filtered, sampled, and quantized. The resultant digital signal is passed through a nonlinear filter used to emphasize the impulsive character of the heart. Detection is done at this point using partial correlation and pattern recognition.< >

关键词： signal processing Heart rate Heart beat Microwave filters Transceivers signal processing algorithms Sampling methods Shape measurement Humans State estimation

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signal enhancement: a useful signal processing tool

Signal enhancement: a useful signal processing tool

引用

Annual ASSP Workshop on Spectrum Estimation and Modeling

作者： J.A. Cadzow Department of Electrical Engineering Arizona State University Tempe AZ USA

A recently developed signal enhancement algorithm that can significantly improve the performance of many existing signal processing methods is reviewed. In this approach, the data being analyzed are first preprocessed using signal enhancement to clean up the data. This preprocessing operation seeks to modify the data appropriately so that the modified data satisfy known (or hypothesized) signal attributes. The modified data are then processed by an appropriate algorithm. The unity of this approach is demonstrated for the following examples: finding a positive sequence that approximates a given nonpositive sequence, detecting and identifying sinusoidal components in empirical data, and designing recursive digital filters.< >

关键词： signal processing Distortion measurement signal processing algorithms signal analysis Noise measurement Data analysis Digital filters Digital signal processing Extraterrestrial measurements Instruments

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An investigation of reconfigurable multipliers for use in adaptive signal processing

An investigation of reconfigurable multipliers for use in ad...

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Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM)

作者： T. Courtney R. Turner R. Woods School of Electrical and Electronic Engineering Queen''s University Belfast Belfast UK

ISBN: (纸本)0769508715

This paper looks at various XC6200 multiplier architectures for use within adaptive signal processing systems. It compares data throughput, block utilisation and reconfiguration times. A number of approaches are compared including fully programmable multipliers and three separate ways of implementing reconfigurable multipliers. The paper shows how fixed coefficient multipliers can be used to increase the number of multipliers from 4 to 10. Many of the ideas and rules can be extended to more recent fine grain architectures.

关键词： Adaptive signal processing Routing Hardware Field programmable gate arrays Reconfigurable logic Pipeline processing Throughput signal processing algorithms Circuits Registers

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The PRISM 2.2 real time signal processing system

The PRISM 2.2 real time signal processing system

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Asilomar Conference on signals, Systems & Computers

作者： K. Stanwood A. Bourdon Orincon Corporation San Diego CA USA

A description is given of the PRISM 2.2 system, a general purpose real-time signal processing system designed for very easy development and modification of signal processing applications. Both the hardware and software are flexible and easily modified to support changing project requirements. Use of additional hardware requires only an update of the configuration file. signal processing block diagrams are easily converted to the PRISM script language which maps the processing to the hardware specified in the configuration file. Changes to processing usually require only changes to the script. Code changes are not necessary unless the project requires functionality not provided by the current tool set. Standard interfaces also exist for getting input data into the system and for getting results and display data out of the system.< >

关键词： Real time systems signal processing Hardware Application software Application specific processors signal processing algorithms Displays Computer architecture Ethernet networks Process design

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A GPGPU-Based Algorithm Acceleration System for ECG signal processing

A GPGPU-Based Algorithm Acceleration System for ECG Signal P...

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algorithms, Computing and Artificial Intelligence (ACAI), International Conference on

作者： Tianyu Huang Zhijiong Wang Guannan Hu Sio Hang Pun Hung Chun Li Mang I Vai Department of Electrical and Computer Engineering Joint Laboratory of Zhuhai UM Science and Technology Research Institute - Lingyange Semiconductor Incorporated University of Macau Macao China Department of Electrical and Computer Engineering Joint Laboratory of Zhuhai UM Lingyange Semiconductor Incorporated Science and Technology Research Institute - Lingyange Semiconductor Incorporated University of Macau Macao China Joint Laboratory of Zhuhai UM Lingyange Semiconductor Incorporated Science and Technology Research Institute - Lingyange Semiconductor Incorporated Zhuhai China Department of Electrical and Computer Engineering Joint Laboratory of Zhuhai UM Institute of Microelectronics Science and Technology Research Institute - Lingyange Semiconductor Incorporated University of Macau Macao China

ISBN: (数字)9798331529314

ISBN: (纸本)9798331529321

Electrocardiogram (ECG) is an important non-invasive technique for diagnosing cardiovascular diseases (CVD). After acquiring the patients' raw ECG signal data, signal processing is essential for the diagnosis. Conventional ECG signal processing is usually performed serially, which takes a long time to process signals with large amounts of data. In this study, we have proposed a GPGPU-based algorithm acceleration system to improve the efficiency of ECG signal processing. This system utilizes OpenCL for parallel algorithm development on GPGPU. GPGPU executes certain steps in the QRS complex detection algorithm via parallel computing, thereby accelerating the algorithmic process. Experimental results showed that the system achieved a speedup of 1.279 compared to serial computing when processing 39 ECG signal sequences in parallel. In addition, our system has been equipped with a progressive transmission mechanism and a function that intelligently determines whether an algorithm can be accelerated. These features make this system practical not only in biomedical signal processing but also in engineering and research fields with large amounts of data.

关键词： signal processing algorithms signal processing Electrocardiography Cardiovascular diseases Biomedical communication Parallel algorithms Detection algorithms Artificial intelligence

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BoomNT. A visual tool for biomedical signal processing

BoomNT. A visual tool for biomedical signal processing

引用

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

作者： T. Bretschneider B.R. Bracio D.P.F. Moller Institute for Computer Science Technical University of Clausthal-Zellerfeld Clausthal-Zellerfeld Germany

BoomNT (Block- and Object-oriented Medical data processing under Windows NT), a system for data acquisition, visualization and processing of biomedical signals, is presented. It has the capability to model, simulate and perform various strategies of signal processing using a graphical user interface. Besides in-system programmable analogue and digital hardware for data acquisition and preprocessing, the developed system provides standard algorithms for signal processing in the form of module libraries. These features are all represented by icons which can be linked together in order to design the desired functionality. The use of the external components is not essential, because the system can perform a simulation based on recorded and/or generated data.

关键词： Biomedical signal processing Object oriented modeling signal processing algorithms Data acquisition Data processing Data visualization signal processing Medical simulation Graphical user interfaces Hardware

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Optimum array signal processing in the presence of imperfect spatial coherence of wavefronts

Optimum array signal processing in the presence of imperfect...

引用

OCEANS

作者： G. Montalbano G.V. Serebryakov Dipartimento di Elettronica Politecnico di Turino Torino Italy Sophia Antipolis Institut Eurécom France Institute Applied Mathematics & Cybernetics University of Nizhni Novgorod Nizhny Novgorod Russia

Traditionally optimum-adaptive beamforming algorithms have been developed assuming fully coherent plane wavefronts, i.e., assuming a data model of point sources. In most applications this assumption is inappropriate, since the channel model has to account for different kinds of dispersion phenomena due to both the propagation environment and the array itself. Significant examples are sonar and underwater communication systems. Indeed, in such circumstances, the resulting wavefronts can be randomly distorted, usually suffering a loss of spatial coherence. Here, assuming a more realistic stochastic channel model, we analyze the performance of a traditional optimum adaptive beamformer for point sources, when the signal or the interference undergo a spatial coherence degradation. It is shown, with analytical details, that the same coherence loss, for the interference results in larger performance degradation than for the signal, Furthermore, we provide a theoretical comparison among different beamforming algorithms, based on the estimate of the channel parameters and on spatial smoothing methods.

关键词： Array signal processing signal processing algorithms Spatial coherence signal analysis Performance analysis Interference Degradation Data models Sonar Underwater communication

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