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检索条件"主题词=iterative algorithm"

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iterative filtering based on Kazakov linearization

Iterative filtering based on Kazakov linearization

引用

Chinese Control Conference (CCC)

作者： Zhiying Yao Dong Liu The Second Artillery Engineering College Xi'an 710025 China

The research on nonlinear filtering algorithm is an active orientation. In this paper, a novel iterative filtering algorithm based on Kazakov linearization is proposed, and the derivation of the algorithm based the Gauss-Newton method is addressed in detail. This algorithm is applied to computer simulation of the SLAM problem in the robot location field and simulation result has been compared with UKF algorithm. The simulation shows that Kazakov based nonlinear filter perform better than UKF algorithm.

关键词： Kalman filters Simultaneous localization and mapping Electronic mail iterative algorithm Filtering algorithms

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Sequential search of available channels in cognitive radios

Sequential search of available channels in cognitive radios

引用

IEEE Globecom Workshops

作者： Ruben de Francisco Holst Centre IMEC Eindhoven Netherlands

In cognitive radios, spectrum sensing is employed as a means to increase spectrum usage awareness. Spectrum sensing algorithms must satisfy the desired performance requirements, in terms of probability of detection and false alarm, with short sensing duration. In addition, low-complexity algorithms are sought, particularly in low-power cognitive radios. A mechanism to search available channels in the frequency domain is proposed in this paper. Rather than obtaining an accurate estimation of the spectrum within a certain frequency range, we focus here on the task of finding white spaces. The proposed technique is a steepest descent method, adapted to the problem of sensing white spaces. Based on an approximation on the right and left derivatives of a smoothed periodogram, the algorithm iteratively searches for a free channel by following the direction of steepest descent. The adaptation step is such that the algorithm produces large steps in flat spectrum regions and small steps in steep regions, in order not to miss narrow portions of the spectrum with free channels. Simulations are provided for the proposed algorithm in a scenario where IEEE 802.11g and IEEE 802.15.4 devices coexist. The performance and speed of convergence of the proposed algorithm are shown, providing a comparison with a system that performs random channel search.

关键词： Sensors Frequency domain analysis Complexity theory Discrete Fourier transforms Cognitive radio Approximation algorithms iterative algorithm

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Rational Krylov methods for optimal ℒ2 model reduction

Rational Krylov methods for optimal ℒ2 model reduction

引用

IEEE Conference on Decision and Control

作者： Caleb Magruder Christopher Beattie Serkan Gugercin Department of Mathematics Virginia Technology Blacksburg VA USA

Unstable dynamical systems can be viewed from a variety of perspectives. We discuss the potential of an input-output map associated with an unstable system to represent a bounded map from ℒ 2 (ℝ) to itself and then develop criteria for optimal reduced order approximations to the original (unstable) system with respect to an ℒ 2 -induced Hilbert-Schmidt norm. Our optimality criteria extend the Meier-Luenberger interpolation conditions for optimal ℋ 2 approximation of stable dynamical systems. Based on this interpolation framework, we describe an iteratively corrected rational Krylov algorithm for ℒ 2 model reduction. A numerical example involving a hard-to-approximate full-order model illustrates the effectiveness of the proposed approach.

关键词： Reduced order systems Interpolation Eigenvalues and eigenfunctions Transfer functions iterative algorithm Convergence

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Segmentation of the breast region in mammograms using marker-controlled watershed transform

Segmentation of the breast region in mammograms using marker...

引用

International Conference on Information Science and Engineering (ICISE)

作者： Chengdan Pei Chunmei Wang Shengzhou Xu School of industry and merchandise South Central University of Nationalities Wuhan China School of computer science and technology Wuhan Institute of Technology Wuhan China School of computer science and technology Huazhong University of science and technology Wuhan China

Extraction of breast contour is a crucial first step in computer aided diagnosis of mammograms. It has the advantage of allowing the search for abnormalities to be limited to the region of the breast without undue influence from the background and also provides a reference for the alignment of views when two views are being compared. Breast region segmentation is difficult because of the tapering nature of the breast. This paper presents a marker-controlled watershed method for breast region segmentation on mammograms. It mainly consists of computation of the segmentation function and the internal and external markers. The segmentation function is determined on the smoothed morphological gradient image by morphological reconstruction, and markers are determined on basis of a developed Otsu method. Results are evaluated by comparison with manual borders drawn by radiologist for a set of 120 mammograms, comparing with other three segmentation methods. The mean ± std of the values of the area overlap metric for our method is 0.93 ± 0.03. The experimental results indicate that the breast regions extracted by our method accurately characterize the corresponding ground truth images.

关键词： Breast Image segmentation Pixel iterative methods Area measurement Mammography iterative algorithm

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Study on model and algorithm of inventory routing problem

Study on model and algorithm of inventory routing problem

引用

2010 The 3rd International Conference on Power Electronics and Intelligent Transportation System (PEITS 2010)

作者： Fengjiao Wan School of Business Jianghan University,430056 Wuhan,Hubei,China

Vehicle routing problem(VRP) is one of important research in the logistics ***,there are many researches on the VRP,but their don't consider the cost of ***,the conclusion doesn't meet *** paper studies on the inventory routing problem(IRP)and uses one target function to describe these two conflicting problems,which are very important in the logistics *** paper establishes the model of single client and many clients' inventory routing *** optimizing iterative algorithm is presented to solve the *** to the model we can confirm the best quantity,efficiency and route of ***,an example is given to illustrate the efficiency of model and algorithm.

关键词： vehicle routing problem inventory routing problem iterative algorithm

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An improved ant colony algorithm and its application in TSP

An improved ant colony algorithm and its application in TSP

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Fengcai Huo Weijian Ren Ruijun Ran Yingnan Liu Dongyan Sui School of Electric and Information Engineering Daqing Petroleum Institute Daqing China Daqing Oilfield Company Daqing China College of Information Technology Heilongjiang Bayi Agricultural University Daqing China Daqing Changsheng Engineering Technology Company Limited Daqing China

The default that the factor of pheromone remnant is constant can make the algorithm fall into the local optimal solution easily, a new factor of pheromone remnant is proposed which is varying with the iterative time. But this can not overcome the local one completely, the bit exchanging mode with the shifting windows is proposed by the analysis in the solution set. Above all an improved ant colony algorithm is got, then it applies in the TSP, the simulation shows that this algorithm can improve the ability of searching global optimization and overcome premature convergence. Comparison with the basic ant colony algorithm shows that the algorithm is effective.

关键词： algorithm design and analysis Optimization Traveling salesman problems Adaptation model Convergence iterative algorithm Petroleum

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HAMA: An Efficient Matrix Computation with the MapReduce Framework

HAMA: An Efficient Matrix Computation with the MapReduce Fra...

引用

IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

作者： Sangwon Seo Edward J. Yoon Jaehong Kim Seongwook Jin Jin-Soo Kim Seungryoul Maeng Computer Science Division Korea Advanced Institute of Science and Technology South Korea User Service Development Center NHN Corporation South Korea School of Information and Communication Sungkyunkwan University South Korea

Various scientific computations have become so complex, and thus computation tools play an important role. In this paper, we explore the state-of-the-art framework providing high-level matrix computation primitives with MapReduce through the case study approach, and demonstrate these primitives with different computation engines to show the performance and scalability. We believe the opportunity for using MapReduce in scientific computation is even more promising than the success to date in the parallel systems literature.

关键词： Engines Sparse matrices Context Scalability iterative methods Google iterative algorithm

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ECG signal base line filtering and power interference suppression method

ECG signal base line filtering and power interference suppre...

引用

International Conference on Information Science and Engineering (ICISE)

作者： Min Li Jiyin Zhao Weiwei Zhang Ruirui Zheng College of Electromechanical & Information Engineering Dalian Nationalities of University Dalian China

ECG signal is non-stationary, base line drift and power interference are the important factors influencing ECG signal extraction in high accuracy and directly determine the accuracy of ECG signal extraction and performance of analyzing and processing ECG signal. Adaptive filtering method can realize effective extraction of non-stationary signals without knowing a priori knowledge about signal and noise, this paper presents an adaptive noise cancellation system for ECG signal base line filtering and power interference suppression, constructs an iterative time LMS algorithm combining variable and fixed step size, which effectively solves the problems of filtering SNR and convergence rate. The experiment results show that this method improves 26.36dB in SNR, eliminates base line drift and power interference effectively, extracts ECG signal accurately and converges quickly, has important practical value in medical clinical diagnosis.

关键词： Least squares approximation Electrocardiography Noise cancellation Filtering Convergence Adaptive filters iterative algorithm

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Stability analysis of SIRMs based type-2 fuzzy logic control systems

Stability analysis of SIRMs based type-2 fuzzy logic control...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Chengdong Li Jianqiang Yi Tiechao Wang Institute of Automation Chinese Academy and Sciences Beijing China School of Information and Electrical Engineering Shandong Jianzhu University Jinan China

This paper tries to provide a stability analysis approach for the single input rule modules (SIRMs) based type-2 fuzzy logic control systems. First, in the neighbor of the equilibrium point, the closed-form input-output mappings of type-2 SIRMs (T2SIRMs) are explored, and the derivatives of T2SIRMs at the equilibrium point are computed. Then, how to compute the Jacobian matrix of the SIRMs based type-2 fuzzy logic control systems, which is a fundamental step for local stability analysis, is presented. At last, two examples on stabilization control of the TORA system and the inverted pendulum system are given. The results in both examples demonstrate that the stability analysis results agree completely with the control results.

关键词： Fuzzy logic Control systems Stability analysis Jacobian matrices Eigenvalues and eigenfunctions Engines iterative algorithm

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Generating a novel sort algorithm using Reinforcement Programming

Generating a novel sort algorithm using Reinforcement Progra...

引用

Congress on Evolutionary Computation

作者： Spencer K. White Tony Martinez George Rudolph WA USA Computer Science Department Brigham Young University Provo UT USA Department of Mathematics and Computer Science Citadel Charleston SC USA

Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approach and gives results of experiments using RP to generate a generalized, in-place, iterative sort algorithm. The RP approach improves on earlier results that that use genetic programming (GP). The resulting algorithm is a novel algorithm that is more efficient than comparable sorting routines. RP learns the sort in fewer iterations than GP and with fewer resources. Results establish interesting empirical bounds on learning the sort algorithm: A list of size 4 is sufficient to learn the generalized sort algorithm. The training set only requires one element and learning took less than 200,000 iterations. RP has also been used to generate three binary addition algorithms: a full adder, a binary incrementer, and a binary adder.

关键词： Training Sorting Heuristic algorithms Complexity theory iterative algorithm Arrays Adders

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