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2009 International Conference on Machine Learning and Cybernetics(2009机器学习与控制论国际会议)

作者： JI-ZHEN LIU HONG-LU ZHU TAI-HUA CHANG LIANG TIAN Department of automation North China Electric Power University Beijing 102206 China

Along with the increasing requests of the control level for power plant operation, accurate state parameters are needed for the advanced control, diagnosis and optimization algorithm. But the signal of the state parameter is obscured by all kinds of noises in thermal system and difficult to analyze. To solve this problem, a novel least-mean-square(lms) algorithm is used for characteristic extracting in the adaptive noise cancellation (ANC) problem. An improved lms algorithm based on Sigmoid function was presented. The simulation result shows that a superior performance of the new algorithm in stationary environment and an equivalent performance in nonstationary environment The experiment proves the method is effective and feasible for thermal processes signal analyzing.

关键词： Characteristic eztracting Adaptive noise cancellation lms algorithm Thermal processes Information retrieval

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Adaptation of Butler-Cantoni method for fast start-up equalization

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1999年第10期82卷 9-17页

作者： Shimamura, T Suzuki, J Saitama Univ Fac Engn Urawa Saitama 3388570 Japan

Fast start-up in adaptive equalization is indispensable in communication systems that require on-line performance. In this article, a new type of adaptive linear FIR equalizer composed of two FIR filters and called the adaptive Butler-Cantoni (ABC) equalizer is proposed, and speed-up of convergence in the training mode is attempted. The ABC equalizer consists of a channel estimator and an equalization filter. The channel estimator updates coefficients by the lms algorithm. At the same time, the variance of the additive noise is computed. Based on these results, the coefficients of the equalization filter are successively derived by the Levinson-Trench algorithm, and the estimated value of the transmitted signal is computed. The computational complexity of the ABC equalizer is proportional to the square of the tap length but is not more than that of the RLS equalizer By computer simulation, it is demonstrated that the ABC equalizer provides better results than the lms and RLS equalizers. (C) 1999 Scripta Technica.

关键词： channel estimator equalization filter Levinson-Trench algorithm condition number lms algorithm

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Removing ECG Noise from Surface EMG Based On Information Theory

Removing ECG Noise from Surface EMG Based On Information The...

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Iranian Conference on Electrical Engineering

作者： Ali Darroudi Jaber Parchami Ghazaleh Sarbishaei Sreeraman Rajan Department of Electrical Engineering Sadjad University of Technology Mashhad Iran Department of Systems and Computer Engineering Carleton University Ottawa Canada

An adaptive filtering method is presented which eliminates ECG artifact from EMG signals based on error entropy criterion. In this method, the error distribution is estimated and minimized in an adaptive manner. Mean squared error (MSE) criterion only minimizes 2nd order statistics of the error, so it is sufficient in cases where inherent noise is Gaussian. The error entropy (EE) criterion, used in the proposed algorithm, minimizes all moments of error distribution. So in EMG denoising, where ECG artifact is typically non-Gaussian, Minimum Error Entropy (MEE)-based adaptive algorithm will improve noise elimination performance. Simulation results show that proposed algorithm has better spectral coherence in low frequencies and improves the SNR of the denoised EMG signal (about 5dB), especially in low SNR inputs, compared to MSE based algorithms.

关键词： Adaptive filtering Entropy lms algorithm MEE criterion Noise cancellation

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Multi-Channel Experimental of Double-Layers Vibration Isolation Based On DSP

Multi-Channel Experimental of Double-Layers Vibration Isolat...

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2018 International Conference on Mechanical,Electrical,Electronic Engineering & Science(MEEES 2018)

作者： Zhengtao Yan Jianguo Xue Xuanyan Qian Chi Huang Ship and ocean academy Naval Univ.of Engineering

ISBN: (纸本)9781510868755

based on the theoretical research of multi-channel active control, this article developed a four-channel dual-core controller based on DSP+FPGA, and achieved good control effects, through the four channels in double layer vibration isolation platform, under the test of lms system. According to the problems about slow convergence of speed in control systems, large delay in calculating of DSP caused by large amount of calculation, and not good reference signal, which are argued thoroughly, solutions were offered.

关键词： Fx lms algorithm dual-core controller of DSP+FPGA vibration control

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A SYMMETRIC ADAPTIVE algorithm FOR SPEEDING-UP CONSENSUS

A SYMMETRIC ADAPTIVE ALGORITHM FOR SPEEDING-UP CONSENSUS

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Daniel Thai Elizabeth Bodine-Baron Babak Hassibi Department of Electrical Engineering California Institute of Technology

ISBN: (纸本)9781424442959

Performing distributed consensus in a network has been an important research problem for several years, and is directly applicable to sensor networks, autonomous vehicle formation, etc. While there exists a wide variety of algorithms that can be proven to asymptotically reach consensus, in applications involving time-varying parameters and tracking, it is often crucial to reach consensus "as quickly as possible". In [?] it has been shown that, with global knowledge of the network topology, it is possible to optimize the convergence time in distributed averaging algorithms via solving a semi-definite program (SDP) to obtain the optimal averaging weights. Unfortunately, in most applications, nodes do not have knowledge of the full network topology and cannot implement the required SDP in a distributed fashion. In this paper, we present a symmetric adaptive weight algorithm for distributed consensus averaging on bi-directional noiseless networks. The algorithm uses an lms (Least Mean Squares) approach to adaptively update the edge weights used to calculate each node's values. The derivation shows that global error can be minimized in a distributed fashion and that the resulting adaptive weights are symmetric--symmetry being critical for convergence to the true average. Simulations show that convergence time is nearly equal to that of a non-symmetric adaptive algorithm developed in [?], and significantly better than that of the non-adaptive Metropolis-Hastings algorithm. Most importantly, our symmetric adaptive algorithm converges to the sample mean, whereas the method of [?] converges to an arbitrary value and results in significant error.

关键词： Adaptive Consensus lms algorithm Sensor Network

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CONVERGENCE ANALYSIS OF A MIXED CONTROLLED L_2-L_P ADAPTIVE algorithm

CONVERGENCE ANALYSIS OF A MIXED CONTROLLED L_2-L_P ADAPTIVE ...

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European Signal Processing Conference

作者： Abdelmalek Zidouri Department of Electrical Engineering King Fahd University of Petroleum and Minerals

A new adaptive scheme for system identification is proposed. The derivation of the algorithm and its convexity property are detailed. Also, the first moment behaviour as well as the second moment behaviour of the weights are studied. Bounds for the step size on the convergence of the proposed algorithm are derived, as well as the steady-state analysis is carried out. Finally, simulation results are performed and are found to corroborate with the theory developed.

关键词： Mixed norm lms algorithm L_p-norm Adaptive algorithm Convergence

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Adaptive Inverse Control Based on the Creep Property of IPMC

Adaptive Inverse Control Based on the Creep Property of IPMC

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2009中国控制与决策会议

作者： Li Zhi~1,Hao Lina~2 1.College of information science and engineering,Northeastern University,Shenyang 110004 2.School of mechanical engineering and automation,Northeastern University,Shenyang 110004

IPMC is one kind of electro-active polymer materials,which is called artificial *** piezoelectric material,the creep property also exists in *** this paper we explained how the creep property created in IPMC, modified the creep model based on piezoelectric in order to get a creep model which fitted *** the creep property of IPMC changes with time,we applied adaptive inverse control to control IPMC,and got good experiment results.

关键词： IPMC Creep Adaptive Inverse Control lms algorithm

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Design of fuzzy weighted median filters

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ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE 1999年第10期82卷 40-49页

作者： Takaku, S Taguchi, A Murata, Y Musashi Inst Technol Dept Elect & Elect Engn Tokyo 158 Japan

The stack filter is the most systematic among the nonlinear filters, including the weighted median filter and the morphology filter. The authors undertook to expand the class of stack filters and to increase the number of degrees of freedom in the design. They employed a fuzzy Boolean function in which the output Boolean function takes a continuous value between "0" and "1" and proposed a fuzzy stack filter defined by that function. Up to the present, the fuzzy median filter and the fuzzy center weighted median filter have been presented as the most fundamental and simplest fuzzy stack filters. This paper proposes a fuzzy weighted median filter in which the weighted median filter, which isa more general nonlinear filter, is given a fuzzy property through the stack filter. The fuzzy weighted median filter changes continuously from the weighted median filter to the weighted average filter by varying the setting of the fuzzy Boolean function. This implies that the fuzzy weighted median filter has a high noise elimination ability for both impulsive and Gaussian noise. The fuzzy weighted median filter can be designed independently for the weight function and the fuzzy Boolean function. This paper aims at a simple design for the weight function and the fuzzy Boolean function, without losing its general character. The weight is approximated by an S-shaped function with only the distance from the processed point as the parameter, and the fuzzy Boolean function is approximated by a sigmoid function. The design is reduced to the determination of four parameters, which is performed by the lms algorithm. Through application examples, the properties and the effectiveness of the fuzzy weighted median filter are revealed. (C) 1999 Scripta Technica.

关键词： weighted median filter weighted average filter stack filter fuzzy weighted median filter lms algorithm

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An Adaptive Tinnitus Model Based on Least Mean Square algorithm

An Adaptive Tinnitus Model Based on Least Mean Square Algori...

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2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Li Shangwen He Peiyu Chen Jiemei College of Electronics and Information Engineering Sichuan University

Tinnitus is a kind of auditory perception in the absence of external stimulus, its pathogenesis is not fully understood yet. Animal studies indicate that hearing loss through cochlear damage can lead to behavioral signs of tinnitus, however its mechanism is still unclear. Sound therapy is one of the most effective treatments for tinnitus on clinic. In this paper, we proposed a novel adaptive model for tinnitus to expound the pathogenesis of tinnitus and the clinical effects of sound therapy. This model can maintain the signal intensity in central auditory system to a stable value by employing the Least Mean Square(lms) algorithm. When hearing loss occurs in this model, the central auditory system will adaptively magnify the auditory signals as well as the spontaneous signals. The significantly increased spontaneous signal is assumed to be tinnitus in this paper. Simulation results demonstrate that this model can not only explain the pathogenesis of tinnitus and the clinical effects of sound therapy, but also uncover the various curative corresponding to different external signals and the phenomenon of tinnitus relapse after the treatment of sound therapy.

关键词： tinnitus model lms algorithm sound therapy hearing loss

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Real-time Identification Method and Experiment of Controlled Channel Model in Adaptive Filtering Vibration Control

Real-time Identification Method and Experiment of Controlled...

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第二届国际测量仪器与测试自动化学术会议

作者： Shen Jianfen Zhu Xiaojin Zhou Yi Wu Xiaojun (School of Mechatronics Engineering & Automation,Shanghai University,Shanghai 200072 China)

In allusion to the multi-channel adaptive filtering feedforward control demand of structure vibration,this article focuses on the real-time identification method and experimental research of controlled channel in adaptive feedforward control, by taking flexible piezoelectric smart structure as test's model. Minimum square algorithm is used unified in real-time identification and control issues,also the channel model identification methods and the implementation of structural plans are given;A control system,including PC and monitoring template(including vc33dsp),is used in the controlled channel model's real-time identification;In this foundation,active vibration control test of piezoelectric smart structure is carried out,and the good results indicate that the controlled channel model's identification method is correct and feasible.

关键词： Adaptive vibration control Real-time identification Piezoelectric intelligent structure lms algorithm

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