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检索条件"主题词=detection algorithms"

共 7393 条记录，以下是4681-4690 订阅

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Active power filtering in asymmetric power system by Modified Synchronous detection Algorithm

Active power filtering in asymmetric power system by Modifie...

引用

IEEE Region 10 International Conference TENCON

作者： Moinuddin K. Syed B. V. Sanker Ram Department of Electrical & Electronics Engineering BVC Institute of Technology and Science Amalapuram India Department of Electrical & Electronics Engineering Jawaharlal Nehru Technological University Hyderabad India

Operation of instantaneous power theory (PQ) is effective in symmetric systems and has proved to yield erroneous results with asymmetric sources. Synchronous detection algorithm (SDA) distributing averaged equal power among each phase has eliminated the drawbacks in the former. Further improvements with modified synchronous detection algorithm (MSDA) simulation were carried for distorted three phase voltage source brings further suppression in source current THDs has been presented in this paper.

关键词： Active filters Power systems detection algorithms Voltage Power system harmonics Power harmonic filters Power system simulation Phase distortion Phase detection Reactive power

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Bayesian peak detection for Pro-TOF MS MALDI data

Bayesian peak detection for Pro-TOF MS MALDI data

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Jianqiu Zhang Honghui Wang Anthony Suffredini Denise Gonzales Elias Gonzalez Yufei Huang Xiaobo Zhou Department of ECE University of Texas San Antonio San Antonio TX USA NIH Clinical Center Bethesda MD USA Greehey Childrens Cancer Research Institute University of Texas Health Sciences Center San Antonio TX USA Texas Methodist Hospital Research Institute Houston TX USA

In this paper, a novel Bayesian peak detection algorithm is proposed for peptide peak detection in high resolution prOTOFtrade MALDI Mass Spectrometry(MS) data. A nonlinear parametric model is proposed for modeling the peptide signals, chemical noise, and thermal noise. A metropolized Gibbs sampling algorithm is derived for Bayesian peak detection. The proposed algorithm is compared with a popular wavelet-based algorithm and the results show a significant improvement in performance on simulated data. The algorithm is finally tested on real MS MALDI data and the results agree with visual inspection very well.

关键词： Bayesian methods Peptides detection algorithms Signal resolution Mass spectroscopy Parametric statistics Chemicals Sampling methods Testing Inspection

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detection and performance analysis for a moving point source in speckle noise, application to exoplanet detection by direct imaging

Detection and performance analysis for a moving point source...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： I. Smith A. Ferrari M. Carbillet LUAN Université de Nice-Sophia Antipolis Nice France

With the current development of astronomical instruments able to detect the direct light of exoplanets, such as the very large telescope instrument SPHERE, statistical tools need to be developed in order to make precise detection and estimation assessments. We propose a detection algorithm that delivers an estimation of the position and the intensity of the potentially detected exoplanet. Because of the numerical constraints on the signal processing task, the detector- estimator is based on a simplified Gaussian model where we use a field-rotation effect as the main discriminating criterium between the planet and the speckles. However, for a given threshold on the statistics test, the probability of false alarm (PFA) and the probability of detection (PD) need to be accurate. For that purpose we use a more realistic model and the saddlepoint approximation to compute the PFA and PD. The performance of the approximation is evaluated on a ID data model.

关键词： Performance analysis Speckle Extrasolar planet Instruments Probability Telescopes detection algorithms Signal processing algorithms Statistical analysis Testing

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Near optimum Sequence detection for coded OFDM-CMM systems

Near optimum Sequence Detection for coded OFDM-CMM systems

引用

International Conference on Communications and Networking in China (CHINACOM)

作者： Yong Mo Wei Jiang Daoben Li School of Information Engineering Beijing University of Posts and Telecommunications Beijing China

Orthogonal frequency division multiplexing convolutional multi-code multiplexing (OFDM-CMM) has been proposed to achieve notable coding gain and diversity without loss of spectral efficiency. However, the complexity of maximum likelihood sequence estimation (MLSE) grows exponentially in the number of parallel streams. This detection algorithm is prohibitive when the number of parallel streams is large. The interference cancellation based sequence detection (ICSD) is proposed in this paper to reduce the detection complexity without performance loss. The heart of this method is to combine the interference cancellation and the MLSE into one iteration. The complexity of ICSD grows linearly in the number of parallel streams. The simulation results have shown that the proposed method can efficiently approximate the optimum MAP performance at a moderate signal to noise ratio (SNR) in coded OFDM-CMM systems.

关键词： Maximum likelihood estimation OFDM Interference cancellation Signal to noise ratio Convolutional codes Convolution Frequency division multiplexing Maximum likelihood detection detection algorithms Performance loss

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Implementation of real-time pedestrian detection on FPGA

Implementation of real-time pedestrian detection on FPGA

引用

International Conference on Image and Vision Computing New Zealand, IVCNZ

作者： Tam Phuong Cao Guang Deng David Mulligan Department of Electronic Engineering La Trobe University Bundoora VIC Australia

Every year, many pedestrians are killed or seriously injured due to car accidents. A pedestrian recognition and warning system could save lives by warning the driver about a possible pedestrian hazard. Although significant progress in research for such systems has been reported, these systems are yet to be implemented in vehicles. In this paper, we review some major pedestrian detection systems and identify the challenges that a real-time pedestrian recognition system has to overcome. We also discuss some positive experimental results using a modified pedestrian detection algorithm that is suitable for implementation on a Field Programmable Gate Array (FPGA) platform.

关键词： Field programmable gate arrays Face detection detection algorithms Humans Leg Vehicles Video surveillance Sensor systems Cameras Head

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Joint Transmission and detection in Hexagonal Grid for 3GPP LTE

Joint Transmission and Detection in Hexagonal Grid for 3GPP ...

引用

International Conference on Information Networking

作者： Andreas Ibing Volker Jungnickel Heinrich-Hertz-Institut Fraunhofer Institute of Telecommunications Berlin Germany

ISBN: (纸本)9788996076117

Cooperative joint transmission and detection algorithms have a high potential to increase the capacity of cellular radio systems. This paper proposes a mapping of areas of joint signal processing into the cellular hexagonal grid architecture, balancing network load, computational load and physical layer overhead versus interference reduction gain. The proposed communication architecture is shown to be realizable with off- the-shelf hardware.

关键词： Computer architecture detection algorithms Land mobile radio cellular systems Signal mapping Signal processing algorithms Cellular networks Computer networks Grid computing Physics computing Physical layer

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Joint Optimal detection of Ordering SIC ZF and SIC ZF MAP for V-BLAST/STBC Wireless Communication Systems

Joint Optimal Detection of Ordering SIC ZF and SIC ZF MAP fo...

引用

International Conference on Advances in Electronics and Micro-electronics, ENICS

作者： J. H. Chong S. Khatun N. K. Noordin B. M. Ali M. J. Syed Faculty of Engineering Universiti Putra Malaysia Serdang Malaysia Telekom Research & Development Sdn Bhd UPM-MTDC Serdang Malaysia

In this paper, we consider a V-BLAST/STBC wireless communication architecture, which integrates Alamouti space-time block codes (STBC) layer with vertical Bell-labs layered space-time (V-BLAST) layer, in MIMO wireless communication system with four transmitter and three receiver antennas over Rayleigh flat-fading channel. We propose an algorithm, which combines the algorithm of successive interference cancellation zero-forcing (SIC ZF) and successive interference cancellation zero-forcing with maximum a posteriori probability (SIC ZF MAP). The proposed algorithm (SIC ZF / ZF MAP) reduces the complexity if compared with the algorithm of SIC ZF MAP alone. Simulation results show the symbol error rate performance degradation of the proposed algorithm is small compared to SIC ZF MAP detection.

关键词： Silicon carbide detection algorithms Decoding Interference cancellation Error probability Receivers Transmitters

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A near-ML sphere constraint stack detection algorithm with very low complexity in VBLAST systems

A near-ML sphere constraint stack detection algorithm with v...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Chun-lin Xiong De-gang Wang Ji-bo Wei School ofElectronic Science and Engineering National University of Defense Technology Changsha China

The stack algorithm is a promising tree-search algorithm with relatively low computation complexity for multi-input multi-output (MIMO) systems. Recent researches show that it obtains low detection complexity at the price of performance degradation. To achieve a better compromise between computational complexity and detection performance, a sphere constraint stack detection algorithm (SC-Stack) is proposed in this paper. With the aid of sorted QR decomposition based on the MMSE criterion (MMSE-SQRD), the proposed algorithm constrains conventional stack algorithm by a sphere radius obtained from partial serial interference cancellation (PSIC) algorithm. The SC-Stack algorithm avoids abundant metric computation by excluding a large number of nodes from the stack according to the sphere radius. The simulation results of computational complexity and detection performance presented in this paper show that the SC-Stack algorithm improves detection performance with lower complexity than the conventional stack algorithm. Moreover, the proposed algorithm achieves almost the same performance as sphere decoding algorithm while expanding far fewer nodes. So it is more feasible in practical systems.

关键词： detection algorithms Inference algorithms MIMO Computational complexity Interference constraints Signal detection Degradation Interference cancellation Maximum likelihood decoding Maximum likelihood detection

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A proposal of a fall detection algorithm for a Multidevice Personal Intelligent Platform

A proposal of a fall detection algorithm for a Multidevice P...

引用

IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Miguel A. Estudillo-Valderrama Laura M. Roa Javier Reina-Tosina David Naranjo-Hernandez Biomedical Engineering Group University of Seville Spain Department of Signal Theory and Communications University of Seville Spain

In this paper methodological and design issues about the development of a personal platform for the control and processing of data acquired from intelligent biomedical sensors are presented. This platform is designed in the context of a telehealthcare system for the elderly with chronic diseases, and one of its objectives is to monitor and detect fall events. The main feature of the device is its on-line personalization to the patient through adaptive knowledge generation in real-time, which will result in special time execution requirements. As a result a fall detection algorithm proposal is described and analyzed.

关键词： Proposals detection algorithms Intelligent sensors Design methodology Process control Biosensors Senior citizens Diseases Patient monitoring Biomedical monitoring

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A robust front page detection algorithm for large periodical collections

A robust front page detection algorithm for large periodical...

引用

International Conference on Pattern Recognition

作者： Iuliu Konya Christoph Seibert Sebastian Glahn Stefan Eickeler Fraunhofer Institute for Intelligent Analysis and Information Systems Sankt Augustin Germany

Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automatic segmentation of the document stream into issues heavily influence the overall output quality of a document image analysis system. As a solution to the issue segmentation problem, this paper introduces a robust, two-step front page detection algorithm. First, the salient connected components from the front page of the periodical are described using a multi-dimensional Gaussian distribution based on discrete cosine transform (DCT) features. Second, a graph model is computed by applying Delaunay triangulation on the selected set of components. A specialized, error-tolerant graph matching algorithm is used to compute the distance score between the model and each candidate page. Experiments on a large, real-world newspaper data set demonstrate the generality and effectiveness of the proposed method.

关键词： Robustness detection algorithms Pattern recognition Image analysis Text analysis Gaussian distribution Streaming media Image segmentation Discrete cosine transforms Shape

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