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A parameter estimator based on adaptive noise canceller

Chinese Journal of Acoustics 1996年第1期15卷 21-28页

作者： LIANG Guolong and HUI Junying (Harbin Angineering driversity Harbin 150001)

The application of an adaptive noise canceller to parameter estimation is restricted for its unsatisfactory performance in the condition of high SNR input. In this paper based on an adaptive noise canceller, is presented a parameter estAnating method, which shows ulce filtering function and good tracking ability with ullknown prior information of interference and motion model of the object. The presented estimator only needs that the interference lloise varies faster than the parameter to be estimated. The presented method as a beedng esthaator was used to process the data collected in a sea experiment and the results show exciting property.

关键词： adaptive noise canceller Parameter estimator adaptive filtering

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Least mean square error difference minimum criterion for adaptive chaotic noise canceller

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Chinese Physics B 2007年第2期16卷 352-358页

作者：张家树 Sichuan Province Key Lab of Signal & Information Processing Southwest Jiaotong University Chengdu 610031 China

The least mean square error difference （LMS-ED） minimum criterion for an adaptive chaotic noise canceller is proposed in this paper. Different from traditional least mean square error minimum criterion in which the error is uncorrelated with the input vector, the proposed LMS-ED minimum criterion tries to minimize the correlation between the error difference and input vector difference. The novel adaptive LMS-ED algorithm is then derived to update the weights of adaptive noise canceller. A comparison between cancelling performances of adaptive least mean square （LMS）, normalized LMS （NLMS） and proposed LMS-ED algorithms is simulated by using three kinds of chaotic noises. The simulation results clearly show that the proposed algorithm outperforms the LMS and NLMS algorithms in achieving small values of steady-state excess mean square error. Moreover, the computational complexity of the proposed LMS-ED algorithm is the same as that of the standard LMS algorithms.

关键词： chaotic noise adaptive noise canceller error difference

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A Methodological Approach to Remove the ECG noise from the EMG Signals

A Methodological Approach to Remove the ECG Noise from the E...

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Measurement Touch the World——IEEE 2011 10th International Conference on Electronic Measurement & Instruments(ICEMI’2011)

作者： Hu Yaohang He Lesheng Shi Jihong Wang Weilian School of information Yunnan University Kunming 650091 China

The SEMGs are valuable in the kinetic system,sickness study,and clinical *** the collected EMG signals recordings especially recordings from back muscles are often critically contaminated by the ECG signals and Power-Line *** object of this paper is to reject the noise from the SEMGs signals that recording from the right erector spinae muscle using the adaptive filer *** first step of the study was to choose the method for collection of the weak SEMG *** the ECG electrode position was chosen in order to record the ECG with a shape similar to that found in the noised *** the end,spectrum of the denoised SEMG signal and the variance are *** result of the experiment showed that the adaptive filtering method proposed in this work could denoise the SEMG signals efficiency and reliable.

关键词： EMG ECG adaptive noise canceller power-line interference

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