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检索条件"任意字段=Conference on Signal and Data Processing of Small Targets 2010"

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ASPEN: An Asynchronous signal Processor for Energy Efficient Sensor Nodes

ASPEN: An Asynchronous Signal Processor for Energy Efficient...

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

作者： Soumik Ghosh Jared Tessier Magdy A. Bayoumi Center of Advanced Computer Studies University of Louisiana Lafayette Lafayette LA USA

For ubiquitous wireless sensor networks, there are three main requirements. The devices must be extremely small, consume very little operating power, and capable of distributed signal processing to enable in situ processing of sensed data at leaf nodes of the network. This paper presents the design of an Asynchronous Digital signal Processor (ASPEN) to realize these goals. Using Quasi-delay insensitive (QDI) asynchronous templates in the processor core, the energy consumption per instruction is reduced, while performing Digital signal Processor (DSP) tasks. The processor takes advantage of multiple functional blocks, which are activated only when an instruction requiring their use is found in the instruction queue. The primary processor pipeline resembles that of a microcontroller while other units remain dormant until an instruction using them arrives in the queue. Functional blocks implemented include an asynchronous FFT core and a DSP datapath. The processor has been designed in a commercial 90 nm process. It consumes less than 10 pJ/instruction for ALU computations, and up to 80 pJ/operation for instruction fetch and decode operations. The FFT unit consumes 132 pJ for a 16-point FFT.

关键词： Energy efficiency Electromagnetics Indexes Pipelines Coprocessors

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A track purity approach for tracking metrics

A track purity approach for tracking metrics

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IEEE conference on Aerospace

作者： L. Donnie Smith Andy Register W. Dale Blair Mark Levedahl Georgia Tech Research Institute Georgia Institute of Technology Smyrna GA USA Raytheon Company Falls Church VA USA

Proper analysis of a simulated sensor tracking problem requires the ability to correctly determine the true trajectory that underlies each track. Traditionally, kinematic assignment of tracks to truth has been used. More recently, a "track-purity" approach has been proposed to both assess the performance of kinematic truth-to-track assignment algorithms and to overcome some of the anomalies that occur when kinematic assignment is used; particularly for unresolved closely-spaced targets. The track-purity approach relies on a simulation's unique ability to identify which truth objects contribute to each measurement. Less clear are the following issues: 1) When a measurement is formed, what is the percentage contribution from each truth object in each measurement primitive, 2) How should truth contributions be combined and modified as measurement data are passed through the various data and signal processing algorithms found in a typical monopulse phased-array radar (e.g., closely-spaced unresolved objects, direction-of-arrival estimation, measurement clustering, data assignment, filtering, and multi-sensor fusion), 3) How should truth content values be used to produce a content-based association between tracks and truth? The complete process for establishing the truth content of a track from the initial truth content of each detection to the final truth content at the output of track filtering is discussed. This discussion includes the effects of measurement clustering and centroiding, ambiguity in the measurement-to-track assignment, filter gains used to update the track's state estimate, and a truth-contribution-based method for establishing track-to-truth assignment.

关键词： Radar tracking Target tracking Phase measurement Kinematics signal processing algorithms Filtering Gain measurement Analytical models Trajectory Radar measurements

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A design of surface EMG signal detector based on DSP

A design of surface EMG signal detector based on DSP

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International conference on Electrical and Control Engineering, ICECE 2010

作者： Zhao, Li Hu, Daofu Xiao, Longteng Meng, Qingguo School of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9780769540313

The design realized the surface EMG detection device which is based on DSP. This device is made up of analog part, data acquisition and processing part and PC-display part. Analog part consists of amplification and filtering;Acquisition part is made up of DSP and AD976. Completed the multi-channel A/D conversion, serial communication and the corresponding parts of the software design. The system has the characteristics of anti-jamming ability, low power consumption, small size and high cost performance, meets the present trend of the development of portable devices. © 2010 IEEE.

关键词： data acquisition

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A Method of Time-frequency Analysis Based on Empirical Mode Decomposition

A Method of Time-frequency Analysis Based on Empirical Mode ...

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International conference on Challenges in Environmental Science and Computer Engineering (CESCE)

作者： Hou Yanfang Tian Hui School of Computer Science and Technology Henan Polytechnic University Jiaozuo China School of Mathematics and Information Science Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9781424459230;9780769539720

Aimed at the nonlinear and non-stationary signals, a method of time-frequency analysis which is called HHT based on Empirical Mode Decomposition is introduced. This method makes any complicated set of data to be decomposed into a finite and often small number of Intrinsic Mode Functions through Empirical Mode Decomposition. So the instantaneous frequency defined by Hilbert transform has a meaning. The validity of the method is displayed through experiment. Then it is compared with the available time-frequency analysis methods. Finally, the related problems in this field that need further study are stated.

关键词： Time frequency analysis signal processing signal analysis Fourier transforms Equations Technological innovation Physics Computer science Mathematics Information science

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Regularization in a reproducing kernel hubert space for robust voice activity detection

Regularization in a reproducing kernel hubert space for robu...

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International conference on signal processing Proceedings (ICSP)

作者： Xugang Lu Masashi Unoki Ryosuke Isotani Hisashi Kawai Satoshi Nakamura National Institute of Information and Communications Technology Japan Japan Advanced Institute of Science and Technology Japan

Voice activity detection (VAD) is still a difficult task in noisy environments since the statistical distributions of speech and non-speech features are heavily overlapped in noisy environments. Considering that speech is a special type of acoustic signal that only occupies a small fraction of the whole acoustic space, we have proposed a new speech processing method for VAD by giving constraints on the processing space as a reproducing kernel Hilbert space (RKHS). In the RKHS, the estimation of the speech was regarded as a functional approximation problem. Via a regularization in the RKHS framework, a target function is learned to approximate the speech signal while the noise component is supposed to be smoothed out. In this framework, we could incorporate the nonlinear mapping functions in the approximation implicitly via a kernel function. The approximation function could capture the nonlinear and high-order statistical structure of the speech. Our VAD algorithm is designed on the basis of the power energy in this regularized RKHS. We have tested its performance on CENSREC-1-C data corpus for VAD task. In this paper, we quantified its performance on the discriminability for speech and non-speech, and further compared its performance with several classical VAD algorithms. Experimental results showed that the proposed processing for speech enhanced the discriminability between the distributions of speech and non-speech, and got better performance on the VAD task than the classical VAD algorithms.

关键词： Speech Kernel Noise measurement signal to noise ratio Approximation methods Speech processing

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A Novel Blind Watermarking Scheme Based on Neural Networks for Image

A Novel Blind Watermarking Scheme Based on Neural Networks f...

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2010 IEEE International conference on Information Theory and Information Security(2010 IEEE 国际信息论与信息安全会议)

作者： Yonghong Chen Jiancong Chen College of Computer Science & Technology Huaqiao University Xiamen China Dept.of Computer & mathematics Chongqing Normal University Chongqing China

In this paper, a novel blind watermarking scheme based on the back-propagation neural networks (BPNN) for image is presented. First, the convolutional codes encoding is used to refine the watermark for increasing robustness of the scheme. BPNN is developed to memorize the relationships between the wavelet selected samples and a processed chaotic sequence. With wavelet domain of original image being divided into watermarking blocks, then several different BPNN models of selected watermarking blocks are trained simultaneously to form certain relationships, which are employed for embedding the coded watermark bit stream. Compared with conventional watermarking, the proposed scheme based on the trained BPNN models modifies only a small amount of image data such that the distortion on original image is imperceptible. Experimental results demonstrate the high robustness of the proposed scheme against common signal processing.

关键词： Watermarking Robustness Training Biological neural networks Artificial neural networks signal processing

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FPGA-based floating-point data acquisition system with automatic-gain-control and peak-detection for multi-channel electrochemical measurement

FPGA-based floating-point data acquisition system with autom...

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International conference on BioMedical Engineering and Informatics (BMEI)

作者： Xuhai Chen Min Du College of Electrical Engineering and Automation Fuzhou University Fuzhou China Fujian Key Laboratory of Medical Instrumentation and Pharmaceutical Technology Fuzhou China

In this work we describes the design and engineering of a floating-point (FP) data-acquisition system for 16-channel electrochemical (EC) measurement. The system has both automatic gain and peak detection feature. The gain is set automatically dependent on the input amplitude so that at least 13-bit conversion resolution is maintained for the EC signal in the wide range from 48nA to 16mA. Peak detectors (PD) are used to acquire the peak signal accurately and automatically to avoid missing important information in the multi-channel EC detection. The system consists of 16 uniform automatic gain control (AGC) subsystems that operate in parallel. Compared with most of the other AGC systems, the mixed analog/digital implementation presented here operates without ADC sampling and software processing, so that the gain-setting time is minimized to 20ns. For the simple but efficient control mechanism, all digital circuits of the system can be integrated into a small-scale FPGA chip. Compared with commercial EC instrument, these characters make this FP data-acquisition system ideal for in situ or field multi-channel EC measurements.

关键词： Converters Instruments Resistors Electrodes Field programmable gate arrays signal resolution Software

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data preprocessing methods for VLBI applications

Data preprocessing methods for VLBI applications

引用

International conference on Information Science and Engineering (ICISE)

作者： Ying Quan Weimin Zheng VLBI Center Shanghai Astronomical Observatory Chinese Academy and Sciences Shanghai China

The software correlator system (SCS) is a key module of Chinese VLBI (Very Long Baseline Interferometry) Network (CVN). The main tasks of SCS include data pre-processing, fringe-searching, correlation, and phase correction signal extraction. In this paper, we propose four approaches for high-speed VLBI data preprocessing on the universal PC-server platform, namely sliding window based time decoding, dynamic lookup-table scheme, squeeze strategy and data synchronization. The experiment results achieved a very small latency especially when the data rate was greater than 256Mbps per station.

关键词： Software data preprocessing Decoding Correlators Synchronization Correlation Observatories

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Comparison of target detection schemes in Doppler radar with PSK signals

Comparison of target detection schemes in Doppler radar with...

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European Radar conference (EURAD)

作者： Chr. Kabakchiev I. Garvanov P. Daskalov P. Donkov D. Kabakchieva Faculty of Mathematics & Informatics Saint Kliment Ohridski University Sofia Bulgaria State University of Library Studies and Information Technologies Sofia Bulgaria Institute of Information and Communication Technologies Sofia Bulgaria

The aim of this article is to test the effectiveness of the known CFAR processors in order to detect moving targets in the frequency domain of real records. The purpose is to be chosen optimal CFAR detector for moving target detection. The data are obtained by portable, surveillance, Frequency Modulated Continuous Wave (FMCW) radar with Low probability of Intercept (LPI). In the paper are studied and compared CA, OS, SO, GO CFAR processors.

关键词： Program processors Doppler radar Radar signal processing Frequency domain analysis Phase shift keying Doppler effect

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The design of the on-line power quality monitoring system based on industrial computer

The design of the on-line power quality monitoring system ba...

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IEEE conference on Industrial Electronics and Applications (ICIEA)

作者： Le-zhu Chen Yi-jun Ge Ye-ce Qian Key Laboratory of Power Electronics & Motion Control Anhui University of Science and Technology Maanshan China State Key Laboratory of Power System Tsinghua University Beijing China

A new monitoring method of power quality based on the industrial computer is proposed. Using fast Fourier transform, synchronous sampling signal from the data acquisition card is processed. This system can analyze and display the power quality parameters. The results of the experiment show that the system can monitors and analyzes the power quality parameters in power systems with long time, and harmonic numbers can be analyzed to 100 and phase error is very small, and can monitoring a number of points at the same time. The system can reflect the changes of each power quality quickly and accurately, so the system can well adapted to the power quality monitoring requirements.

关键词： Power quality Computerized monitoring Computer industry Power system analysis computing Computer displays Harmonic analysis Power system harmonics Fast Fourier transforms signal sampling signal processing

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