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检索条件"主题词=detection Algorithms"

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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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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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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 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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Polynomial-complexity maximum-likelihood block noncoherent MPSK detection

Polynomial-complexity maximum-likelihood block noncoherent M...

引用

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

作者： Dimitris S. Papailiopoulos George N. Karystinos Department of Electronic and Computer Engineering Technical University of Crete Chania Greece

In wireless channels, maximum-likelihood (ML) block noncoherent detection offers significant gains over conventional symbol- by-symbol detection when the fading channel coefficients are not available and cannot be estimated at the receiver. Certainly, in general the complexity of the block detector grows exponentially with the symbol sequence length. However, it has been recently shown that for M-ary phase-shift keying (MPSK) modulation block noncoherent detection can be performed with polynomial complexity. In this work, we develop a new ML block noncoherent detector for MPSK transmission of arbitrary order and multiple-antenna reception. The proposed algorithm introduces auxiliary spherical variables and constructs with polynomial complexity a polynomial- size set which includes the ML data sequence. It is shown that the complexity of the proposed algorithm is polynomial in the sequence length and at least one order of magnitude lower than the complexity of computational-geometry based noncoherent detection algorithms that have been developed recently.

关键词： Polynomials Maximum likelihood detection Maximum likelihood estimation Fading Detectors Phase shift keying detection algorithms Channel estimation Character generation Phase modulation

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A robust front page detection algorithm for large periodical collections

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

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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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Harmonic detection Algorithm Based on Recursive Filter

Harmonic Detection Algorithm Based on Recursive Filter

引用

11th International Conference on Electrical Machines and Systems(第11届国际电机与系统会议)

作者： Guozhi Chen Longdao Chen Zhongfa Cai Zhejiang University /College of Electrical Engineering Department Hangzhou 310027 China

Due to the problems of Fourier algorithm and wavelet algorithm on harmonic detection, proposed harmonic detection algorithm based on a recursive filter in this paper. Unlike a wavelet, the central frequency and frequency window radius of the recursive filter can be adjusted separately, the magnitude frequency property (MFP) of its real part and imaginary part is identical, symmetrical and no side lobes, moreover has no relative to the central frequency. By virtue of these attributes, it can overcome frequency spectrum leakage and fence effect of FFT, eliminate frequency bank aliasing of wavelet transform, and realize accurately detection of harmonic and interharmonic in power system. Further, a recursive algorithm is adopted that updates current output only using several previous sample values and filtering outputs. Thus, this recursive algorithm is highly desirable for real-time applications. The simulation results show that the method is able to identify numbers of harmonic and interharmonic accurately, and has highly detecting accuracy to amplitude and frequency.

关键词： Power harmonic filters detection algorithms Power system harmonics Frequency Discrete Fourier transforms Band pass filters Power system simulation Fourier transforms Wavelet transforms Leak detection

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Battery Chemistry detection Algorithm Implementable with Intelligent Systems: A Step towards the Development of a Novel Charger Applicable for Multi-Chemistry Environment

Battery Chemistry Detection Algorithm Implementable with Int...

引用

International Symposium on Intelligent Information Technology Application, IITA

作者： Raisul Islam Sarkar Rahat Mohammad Anwar Ahmed Tashrif Kamal Samia Nawar Rahman Hasan Mohammad Faraby Hafiz Imtiaz Mohammed Shahriar Jahan Fahmida Shaheen Tulip Department of Electrical and Electronic Engineering Bangladesh University of Engineering and Technology Dhaka Bangladesh Department of Electrical and Electronic Engineering United International University Dhaka Bangladesh

This paper introduces a theory for the development of a fully automated multiple chemistry battery charger. This can be possible through the detection of battery chemistry. The paper presents an algorithm to differentiate between Ni based, Li-ion and Sealed Lead Acid (SLA) batteries through the analysis of voltage profile during charging and discharging periods. The algorithm was implemented and tested in an intelligent charger capable of charging aforementioned types of batteries without any prior identification of battery type from the user. This industrially viable solution for developing multiple chemistry charger can easily be incorporated in any embedded system using minimum input and circuit arrangement connected to the battery.

关键词： Batteries Chemistry detection algorithms Intelligent systems Voltage Circuits DH-HEMTs Phase locked loops Information technology Chemical technology

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Back-Propagation Neural Network for Traffic Incident detection Based on Fusion of Loop Detector and Probe Vehicle Data

Back-Propagation Neural Network for Traffic Incident Detecti...

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International Conference on Natural Computation (ICNC)

作者： Liu Yu Lei Yu Jianquan Wang Yi Qi Huimin Wen School of Traffic and Transportation Beijing Jiaotong University Beijing P.R. China Department of Transportation Studies Texas Southern University Houston Texas U.S.A Beijing Transportation Research Center Beijing China Beijing Transportation Research Center Beijing P.R. China

Traffic incident detection based on a fusion of various available data sources has been an evolving research topic in ITS. This paper proposes a data fusion model for traffic incident detection using BP neural network. In this model, the cumulative sum (CUSUM) approach is used to develop incident detection algorithms using loop detector data and probe vehicle data respectively, while the BP neural network combines the outputs from both incident detection algorithms. The proposed algorithm is tested and evaluated with the data generated by the simulation model INTEGRATION. The result shows that the outputs using BP neural network improves the accuracy provided by each single source incident detection algorithm.

关键词： Vehicle detection Neural networks Telecommunication traffic Detectors Probes Traffic control Vehicles detection algorithms Artificial neural networks Transportation

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A Peak-Trough detection Algorithm Based on Momentum

A Peak-Trough Detection Algorithm Based on Momentum

引用

Congress on Image and Signal Processing, CISP

作者： K. Harmer G. Howells W. Sheng M. Fairhurst F. Deravi Department of Electronics University of Kent Canterbury Kent UK

This paper presents a simple, yet novel, approach to peak-trough detection using a rudimentary model of Newtonian mechanics. Based on the line-searching technique also employed in artificial neural network technology to determine global minima, the momentum is used to find both peaks and troughs of a signal. This algorithm provides a fast alternative to the traditional techniques, which uses contextual information in order to determine prominent peaks and troughs without requiring smoothing or thresholding.

关键词： detection algorithms Signal processing algorithms Shape Noise robustness Change detection algorithms Neural networks Friction Gravity Artificial neural networks Smoothing methods

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