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检索条件"主题词=LMS Algorithm"

共 571 条记录，以下是71-80 订阅

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Improved lms algorithm and Its Application in Direct Path and Multipath Cancellation for Passive Radar

Improved LMS Algorithm and Its Application in Direct Path an...

引用

14th IEEE International Conference on Communication Technology (ICCT)

作者： Wu, Ducheng Shen, Liang Xie, Jinquan Wang, Yubo PLA Univ Sci & Technol Inst Commun Engn Nanjing 210007 Jiangsu Peoples R China

ISBN: (纸本)9781467321013;9781467321006

In passive radar, the target's echo could be masked by the sidelobes of the direct path and multipath interference (DPI and MPI) received by the receiver antenna. So the direct path and multipath interference cancellation is a key factor in passive radar systems. In this paper, an improved lms algorithm is proposed, and its performance in passive radar direct path and multipath interference cancellation is analyzed. The proposed algorithm, which varies the step size, has better performance compared with the traditional lms filter. The computer simulation results show that the algorithm has a faster convergence rate and a smaller steady state error.

关键词： passive radar lms algorithm direct path and multipath interference step size

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Implementation of lms algorithm for image noise cancellation 5

Implementation of LMS algorithm for image noise cancellation

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5th International Conference on Computing, Communication Control and Automation (ICCUBEA)

作者： Bansal, Shruti S. Bhandari, Sheetal U. Thorbole, Pradip S. PCCOE Dept Elect & Telecommun Engn Pune Maharashtra India CoreEL Technol Dept Elect & Telecommun Engn Pune Maharashtra India

ISBN: (纸本)9781728140421

Noise is the unwanted signal that is added at the time of transmission of signals(data, audio, images or video). These unwanted noisy signals degrades the quality of original information signal. Since these noise parameters are not known in advance, these can be cancelled out effectively by using adaptive filters. Least mean squares (lms) algorithm is one of the algorithms in adaptive filters used to find the filter coefficients used to reduce the noise signal. Focus of this paper will be to develop a simulink model to attenuate noise and recover the original image signal.

关键词： Adaptive filter lms algorithm Image Noise Cancellation

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Constant Q-value filter banks with spectra analysis using lms algorithm

Constant Q-value filter banks with spectra analysis using LM...

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37th SICE Annual Conference (SICE98)

作者： Umemoto, T Fujisawa, S Yoshida, T Osaka Prefectural Coll Technol Neyagawa Osaka Japan

ISBN: (纸本)0780350537

In spectra analysis of temporally varying signals, constant Q-value filter banks using short time spectra analysis method is known to be effective because the frame length can be changed freely with the method depending on the frequency. We have already reported the analysis with lms algorithm. But, the constant Q-value filter banks couldn't be constructed by this method because the parameters to control the stability and convergence factor of systems was scalar values. In order to realize the constant Q-value filter banks with this spectra analysis method, it is necessary to change the parameters of the stability and convergence factor from scalar to diagonal matrix. In this paper, we first derived a lms algorithm for this method. Then the characteristics of this spectra analysis method were found by extending the discussion to stability conditions of the method. Furthermore, the effectiveness of the proposed method for transfer performance was experimentally demonstrated by applying it to the analysis of human voices and acoustical waves generated by musical instruments.

关键词： spectra analysis constant Q-value filter banks lms algorithm

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VIBRATION CONTROL OF A COMPOSITE BEAM BY AN ADAPTIVE SEMI-ACTIVE METHOD BASED ON lms algorithm

VIBRATION CONTROL OF A COMPOSITE BEAM BY AN ADAPTIVE SEMI-AC...

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3rd Symposium on Piezoelectricity, Acoustic Waves and Device Applications

作者： Ji, Hong-li Qiu, Jin-hao Zhu, Kong-jun Nanjing Univ Aeronaut & Astronaut Coll Aerosp Engn Nanjing 210016 Peoples R China

ISBN: (纸本)9781424428915

In this paper, an adaptive semi-active SSDV (Synchronized Switch Damping on Voltage) method based on the lms algorithm is proposed and applied to the vibration control of a composite beam. In the SSDV method, the value of voltage source in the switching circuit is critical to its control performance. In the adaptive approach proposed in this study, the voltage coefficient is adjusted adaptively using the lms algorithm. The new adaptive approach is compared with the derivative-based adaptive SSDV proposed in the former study in the control of the first mode of a composite beam. The control results show that adaptive adjustment of voltage coefficient is effective in the vibration control of the composite beam and that lms-based approach is slightly better than the derivative-based approach.

关键词： Piezoelectric elements synchronized switch damping semi-active control vibration damping lms algorithm

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ADALINE Based lms algorithm in a Three Phase Four Wire Distribution System for Power Quality Enhancement 6

ADALINE Based LMS Algorithm in a Three Phase Four Wire Distr...

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6th IEEE International Conference on Power Systems (ICPS)

作者： Penthia, Trilochan Panda, Anup Kumar Sarangi, Sunil Kumar Mangaraj, Mrutyunjaya Natl Inst Technol Dept Elect Engn Rourkela 769008 India

ISBN: (纸本)9781509001286

This paper describes a new control approach called Adaptive linear neuron (ADALINE) based Least mean square (lms) algorithm used in a three phase four wire (3P4W) distribution system under single phase fault condition. Three phase reference supply currents are generated by using the proposed control technique thereafter they compared with the corresponding sensed supply currents to produce switching pulses for the IGBTs of a four leg voltage source converter (4-leg VSC) based distribution static compensator (DSTATCOM). In this paper, the DSTATCOM is used for voltage regulation, power factor correction and elimination of distorted/unbalanced source current & excessive neutral current in the system. MATLAB/SimPowerSystem environment is used to simulate the distribution system under both fault and without fault conditions.

关键词： ADALINE Power Quality Improvement Custom power device THD lms algorithm 3P4W distribution system

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Increasing the Initial Convergence of Distributed Diffusion lms algorithm by a New Variable Tap-Length Variable Step-Size Method

Increasing the Initial Convergence of Distributed Diffusion ...

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21st Iranian Conference on Electrical Engineering (ICEE)

作者： Mohammadloo, Roghieh Azarnia, Ghanbar Tinati, Mohammad Ali Univ Tabriz Fac Elect & Comp Engn Tabriz Iran

ISBN: (纸本)9781467356343

Among strategies using in distributed adaptive networks diffusion based algorithms despite their scalability, robustness and steady state performance suffer from slow initial convergence. We propose a method to speed up this convergence rate by arranging the network nodes into subgroups, partitioning the tap weight vector and taking advantage of the larger step-size allowed for short filters. As our simulation results show, the proposed algorithm has a faster convergence rate as compared with conventional diffusion lms algorithm and other algorithms have intended to increase the initial convergence rate of diffusion algorithms.

关键词： Distributed estimation diffusion initial convergence lms algorithm

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A New Block-Sparse lms algorithm With Adaptive and Nonuniform Group Sizes 23

A New Block-Sparse LMS Algorithm With Adaptive and Nonunifor...

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23rd IEEE International Conference on Digital Signal Processing (DSP)

作者： Wei, Ye Zhang, Yonggang Wang, Chengcheng Chambers, Jonathon A. Harbin Engn Univ Coll Automat Harbin Heilongjiang Peoples R China Nanyang Technol Univ Sch Elect & Elect Engn Singapore Singapore Univ Leicester Dept Engn Leicester Leics England

ISBN: (纸本)9781538668122;9781538668115

This work presents a new block-sparse least mean square (BS-lms) algorithm with adaptive and nonuniform group sizes. Motivated by the fact that large and zero coefficients in block-sparse systems assemble in clusters of variant sizes, we divide the adaptive filter tap-weights into groups of nonuniform size. A predetermined threshold value is utilized for real-time group partitioning Large coefficient groups consist of clusters of coefficients whose magnitudes are above the threshold value, while zero coefficient groups consist of clusters of coefficients whose magnitudes are below the threshold value. Then, coefficients in large coefficient groups are updated by following the standard lms algorithm, while those in zero coefficient groups suffer from an attractive force towards zero. A practical choice guideline is provided for the threshold value to facilitate applications. The proposed algorithm is tested in the identification of single- and multiple-block-sparse systems. Simulation results show that the proposed scheme effectively locates and tracks the non-zero blocks in the unknown systems, outperforming existing block-sparsity-inspired lms algorithms with uniform group sizes.

关键词： Adaptive filtering block-sparse system identifications lms algorithm nonuniform group sizes

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DELAYED BLOCK lms algorithm AND CONCURRENT ARCHITECTURE FOR HIGH-SPEED IMPLEMENTATION OF ADAPTIVE FIR FILTERS

DELAYED BLOCK LMS ALGORITHM AND CONCURRENT ARCHITECTURE FOR ...

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IEEE Region 10 Conference (TENCON 2008)

作者： Mohanty, Basant K. Meher, Promod K. Jaypee Inst Engn & Technol Dept Elect & Commun Engn Guna 473226 Madhy Pradesh India Nanyang Technol Univ Sch Comp Engn Singapore 639798 Singapore

ISBN: (纸本)9781424424085

In this paper, we propose a block least mean square algorithm with delayed weight adaptation for hardware implementation of finite impulse response (FIR) adaptive filters. We have referred to the proposed algorithm as delayed block least mean square (DBlms) algorithm. Unlike the delayed least mean square (Dlms) algorithm, the DBlms algorithm takes a block of L input samples and yields a block of L output in every training cycle. The simulation result shows that the DBlms algorithm has convergence performance equivalent to that of the Dlms algorithm. We have exploited the parallelism inherent in the DBlms algorithm to derive a highly concurrent systolic architecture for FIR adaptive filters. The proposed architecture can support L time higher sampling rate compared with the best of the existing pipelined designs and, therefore, it would involve less samples of adaptation delays and would provide a more efficient implementation of lms-based adaptive filters.

关键词： lms algorithm Blms algorithm Delayed lms Delayed Blms Adaptive Filters Systolic Architecture VLSI

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Feature lms algorithm for Bandpass System Models 27

Feature LMS Algorithm for Bandpass System Models

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27th European Signal Processing Conference (EUSIPCO)

作者： Diniz, Paulo S. R. Yazdanpanah, Named Lima, Markus V. S. Univ Fed Rio de Janeiro Dept Elect & Elect Engn Rio De Janeiro Brazil Univ Sao Paulo Dept Comp Sci Inst Math & Stat Sao Paulo Brazil

ISBN: (纸本)9789082797039

Sparse representations of model parameters have been widely studied. In the adaptive filtering literature, most studies address the cases where the sparsity is directly observed, therefore, there is a growing interest in developing strategies to exploit hidden sparsity. Recently, the feature lms (F-lms) algorithm was proposed to expose the sparsity of models with low- and high-frequency contents. In this paper, the F-lms algorithm is extended to expose hidden sparsity related to models with bandpass spectrum, including the cases of narrowband and broader passband sources. Some simulation results show that the proposed approaches lead to F-lms algorithms with fast convergence, low misadjustment after convergence, and low computational cost.

关键词： adaptive filtering lms algorithm feature matrix bandpass system narrowband system

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Simulation of Adaptive Filter Based on lms algorithm in Simulink

Simulation of Adaptive Filter Based on LMS Algorithm in Simu...

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International Conference on Material Engineering, Chemistry, Bioinformatics (MECB 2011)

作者： He, Yanping Zhang, Haidong NorthWest Univ Nationalities Sch Electrician Engn Lanzhou 730030 Gansu Peoples R China NorthWest Univ Nationalities Sch Math & Comp Sci Lanzhou 730030 Gansu Peoples R China

ISBN: (纸本)9783037851951

The paper introduces the principle and structure of adaptive filter based on lms algorithm, studies a design scheme of a single frequency adaptive notch filter, and simulates its working procedure by using the Simulink simulation tool. The simulation results show that the adaptive notch filter based on lms algorithm has the better convergence and the smaller steady-state error than traditional notch filter in the appropriate parameter.

关键词： lms algorithm Simulink simulation Adaptive notch filter

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