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检索条件"主题词=partitioning algorithms"

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A low-complexity precoder searching algorithm for MIMO-OFDM systems

A low-complexity precoder searching algorithm for MIMO-OFDM ...

引用

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

作者： Wen-Rong Wu Tzu-Han Hsu Department of Communication Engineering National Chiao Tung University Hsinchu Taiwan

Precoding is an effective technique enhancing the performance of MIMO-OFDM systems. In practical systems, the precoding matrix is computed at the receiver, and then fed back to the transmitter. To reduce the amount of the feedback data, only the index representing a quantized precoding matrix is fed back. The quantized matrix is selected from a set of predetermined matrices called a codebook. Since the number of matrices in the codebook may be large, the search for the optimum precoder requires a high computational complexity. In this paper, we propose a low-complexity precoder searching algorithm to solve the problem. The basic idea is to construct a tree-like search strategy such that the complexity can be reduced from O(L)is O(log 2 (L)) where L is the number of the codewords. Compared to the exhaustive search, the proposed searching method can reduce the searching complexity significantly while the performance loss is small.

关键词： MIMO Transmitters Feedback OFDM Samarium Computational complexity Narrowband partitioning algorithms Performance loss Transceivers

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A Programming Interface for Determining Refactorings of Object-Oriented Software Systems using Clustering

A Programming Interface for Determining Refactorings of Obje...

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IEEE International Conference on Intelligent Computer Communication and Processing (ICCP)

作者： Istvan-Gergely Czibula Gabriela Serban Department of Computer Science1 Babeş-Bolyai University Cluj-Napoca Romania

Improving the quality of the software systems design is the most important issue during the evolution of object- oriented software systems. Refactoring ([4]) is a process that helps to maintain the internal software quality, during the whole software lifecycle. A clustering approach for improving software systems design is introduced in [2]. For the same purpose, some clustering algorithms (kRED in [2], PAMRED in [8], HAC in [3]) that identify the appropriate refactorings for object-oriented software systems were developed. Based on these approaches, in this paper we aim at presenting a programming interface for determining refactorings of object-oriented software systems using clustering, RDI (Refactorings Determination Interface). Using this interface, we can simply develop applications for determining refactorings of object-oriented software systems using clustering. An experiment using the designed interface is also presented.

关键词： Object oriented programming Software systems Software maintenance Software quality Clustering algorithms partitioning algorithms Software algorithms Software design Clustering methods Java

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A novel threshold-based clustering method to solve K-means weaknesses

A novel threshold-based clustering method to solve K-means w...

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International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS)

作者： S. Ehsan Yasrebi Nayini Somayeh Geravand Ali Maroosi Dept. of Computer Engineering University of Torbat Heydarieh Torbat-Heydarieh Iran

ISBN: (纸本)9781538618882

Nowadays, using data mining techniques to discover hidden patterns in various data sets is very common. Among all data mining techniques, clustering algorithms are particularly important and K-means algorithm is one of the most popular clustering methods. Simplicity, flexibility and performance in large data sets are the most important advantages of the K-means algorithm. On the other hand, some factors such as determining the number of clusters by user, outlier data and sensitivity to initial centers of the clusters and thus possibility of reaching a local minimum can reduce the efficiency of the K-means algorithm. In the present study, the idea of the K-means clustering algorithm and its advantages and disadvantages is introduced and then a new method is proposed for data clustering which overcomes the limitations of the K-means algorithm. Therefore, accuracy and efficiency of the clustering method can strongly be increased. In the proposed algorithm, to avoid identifying the number of clusters by users, similarity and threshold measures are used for clustering. Also in this algorithm the outlier data are identified and hence their negative impact on the clustering can be avoided. The experimental results show that the proposed method can overcome K-means disadvantages and improve its efficiency.

关键词： Clustering algorithms partitioning algorithms Data analysis Clustering methods Euclidean distance Heuristic algorithms Data mining

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Higher order semi-definite relaxations for quadratic programming

Higher order semi-definite relaxations for quadratic program...

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IEEE Conference on Decision and Control

作者： P.A. Parrilo Control & Dynamical Systems California Institute of Technology Pasadena CA USA

ISBN: (纸本)0780366387

We present improved versions of the standard semi-definite relaxation for quadratic programming, that underlies many important results in robustness analysis and combinatorial optimization. It is shown that the proposed polynomial time convex conditions are at least as strong as the standard ones, and usually better, but at a higher computational cost. Several applications of the new relaxations are provided, including less conservative upper bounds for the structured singular value CL and enhanced solutions for the MAX CUT graph partitioning problem.

关键词： Quadratic programming Polynomials Robust control Control systems Computational efficiency Upper bound Control theory Control system synthesis Computational complexity partitioning algorithms

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Neural fuzzy control of unstable nonlinear systems

Neural fuzzy control of unstable nonlinear systems

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IEEE International Conference on Systems, Man and Cybernetics

作者： Chin-Teng Lin Cheng-Jian Lin I-Fang Chung Department of Control Engineering National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)0780325591

A fuzzy adaptive learning control network (FALCON) is proposed for the realization of a fuzzy logic control system. An online structure/parameter learning algorithm, called FALCON-ART, can online partition the input/output spaces, tune membership functions and find proper fuzzy logic rules dynamically without any a priori knowledge or even any initial information on these. The FALCON-ART requires exact supervised training data for learning. In some real-time applications, exact training data may be expensive or even impossible to obtain. To solve this problem, a reinforcement FALCON (RFALCON) is further proposed. By combining a proposed online supervised structure/parameter learning technique, the temporal difference method, and the stochastic exploratory algorithm, a online supervised structure/parameter learning algorithm, called RFALCON-ART, is proposed for constructing the RFALCON dynamically.

关键词： Fuzzy control Nonlinear systems Fuzzy logic Control systems Training data Fuzzy systems Adaptive systems Programmable control Adaptive control partitioning algorithms

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Implementation of a digital receiver for DS-CDMA communication systems using HW/SW codesign

Implementation of a digital receiver for DS-CDMA communicati...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： D.C. de Souza I. Krikidis L. Naviner J.-L. Danger M.A. de Barros B.G.A. Neto Department de Engenharia Elétrica Universidade Federal de Campina Grande Campina Grande Brazil Department COMELEC GET/ENST-Télécom Paris Paris France Department de Sistemas de Computação Universidade Federal de Campina Grande Campina Grande Brazil

An optimized partitioning algorithm for HW/SW codesign is described and applied to the implementation of a digital RAKE receiver for DS-CDMA on an heterogeneous (hardware/software) platform. The development of this partitioning algorithm aims to gather quality features that have already proved effective when applied separately, but had not been used together yet. The partitioning algorithm is applied to a flexible RAKE architecture able to adapt its number of demodulation fingers to each propagation environment. This RAKE detector uses a serial and iterative computation of the required processing in order to jointly optimize performance and computational power

关键词： Multiaccess communication partitioning algorithms Iterative algorithms RAKE receivers Software algorithms Fading Multipath channels Hardware Computer architecture Demodulation

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A Register Allocation Algorithm Based on Predicate Analysis System

A Register Allocation Algorithm Based on Predicate Analysis ...

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WASE International Conference on Information Engineering, ICIE

作者： Fengqin Wang Ying Li Zhengxia Zhang Department of Ordnance Science and Technology Naval Aeronautical Engineering Institute Yantai ShanDong Province China

In order to allocate registers efficiently for predicated code, a new algorithm based on predicate analysis system is presented, which uses binary decision diagrams for constructing refined interference graph. The algorithm is implemented in the compiler of XXX-DSP/700 chip developed by our college. Experiment results show that the number of used registers is reduced 24.51% evenly, and the average speedup of code execution time reaches 1.31.

关键词： Algorithm design and analysis Registers Signal processing algorithms Interference Information analysis Data structures Boolean functions Educational institutions partitioning algorithms Performance analysis

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Soft decision decoding of Reed Solomon codes

Soft decision decoding of Reed Solomon codes

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IEEE International Symposium on Information Theory

作者： V. Ponnampalam B. Vucetic School of Electrical and Information Engineering University of Sydney NSW Australia

The paper presents a maximum likelihood decoding (MLD) and a sub-optimum decoding algorithm for Reed-Solomon codes. The proposed algorithms are based on the algebraic structure of RS codes represented in GF(2). Theoretical bounds on the performance are derived and shown to be accurate. The proposed sub-optimum algorithm is seen to have better error performance compared to other sub-optimum decoding algorithms while the new MLD algorithm has significantly lower decoding complexity when compared to other MLD algorithms.

关键词： Decoding Reed-Solomon codes partitioning algorithms Bit error rate Signal to noise ratio Australia Block codes Error correction Gain Computational complexity

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Partitioned State algorithms for Recursive System Identification

Partitioned State Algorithms for Recursive System Identifica...

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American Control Conference (ACC)

作者： Anthony W. Warren Energy Technology Applications Division Boeing Computer Services Inc. Tukwila WA USA

In many on-line state estimation applications, identification of unknown system and measurement parameters is desired. In this paper a recursive algorithm for state estimation and parameter identification is presented which is particularly appealing due to its computational simplicity and its structure as an extension of ordinary Kalman filtering. It is assumed that the unknown states and parameters are linearizable about known reference values at each stage. The algorithm is derived as a recursive solution to a maximum likelihood estimation problem. The theory is illustrated by application to an adaptive filtering problem which arises in aircraft tracking systems.

关键词： partitioning algorithms System identification State estimation Maximum likelihood estimation Parameter estimation Recursive estimation Vectors Application software Kalman filters Adaptive filters

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Research on the grabcut image segmentation method based on superpixel

Research on the grabcut image segmentation method based on s...

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International Conference on Intelligent System and Knowledge Engineering, ISKE

作者： Yang Liu Ningning Zhou Guofang Huang School of Computer Nanjing University of Posts and Telecommunications Nanjing China Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

In order to overcome the Excessive time complexity of bad quality when the disposing the picture whose foreground is similar to background of grabcut method, a grabcut method based on superpixel is proposed in this paper. This method, firstly, extracting the superpixel block of the picture. And then, split the picture which is extracted. The experimental results show that this method is effective to improve the speed of segmentation. What's more, this method can solve the problem of bad quality when the disposing the image whose foreground is similar to background in a certain extent. This paper has certain advantage in disposing those image whose size are too big and foreground is similar to background.

关键词： Image segmentation Image color analysis Algorithm design and analysis Clustering algorithms Feature extraction partitioning algorithms Time complexity

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