An Adaptive Filter Model Based on Wavelet Transform

Due to the fact that it is not easy to filter out the spectrum overlap noise between noisy signal and noise by using the traditional wavelet method, an adaptive filter model based on the wavelet transform is constructed in this paper. In the new filter, the adaptive filter is used to filter out noise secondary on the basis of wavelet denoising on the original noise signal. The experimental results show that the filter can effectively remove the noise. The new filter is applied to the denoising of the ECG signal, achieving a better filtering effect.

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Investigation of 3D ultra-wideband bandpass filter model based on microstrip multimode resonators

Journal of Physics Conference Series ◽

10.1088/1742-6596/1745/1/012064 ◽

2021 ◽

Vol 1745 (1) ◽

pp. 012064

Author(s):

B A Belyaev ◽

S A Khodenkov ◽

N A Shepeta ◽

A M Popov

Keyword(s):

Bandpass Filter ◽

Ultra Wideband ◽

Filter Model ◽

Model Based

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Automatic Classification of Healthy Subjects and Patients With Essential Vocal Tremor Using Probabilistic Source-Filter Model Based Noise Robust Pitch Estimation

Journal of Voice ◽

10.1016/j.jvoice.2021.01.009 ◽

2021 ◽

Author(s):

Achuth Rao MV ◽

B.K. Yamini ◽

J. Ketan ◽

A. Preetie Shetty ◽

Pramod Kumar Pal ◽

...

Keyword(s):

Healthy Subjects ◽

Automatic Classification ◽

Pitch Estimation ◽

Filter Model ◽

Model Based ◽

Vocal Tremor ◽

Noise Robust

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A Gaussian mixture regression model based adaptive filter for non-Gaussian noise without a priori statistic

Signal Processing ◽

10.1016/j.sigpro.2021.108314 ◽

2021 ◽

pp. 108314

Author(s):

Haoran Cui ◽

Xiaoxu Wang ◽

Shuaihe Gao ◽

Tiancheng Li

Keyword(s):

Regression Model ◽

Adaptive Filter ◽

Gaussian Noise ◽

A Priori ◽

Gaussian Mixture ◽

Mixture Regression ◽

Model Based ◽

Non Gaussian ◽

Mixture Regression Model

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Forecasting air pollutant concentration using a novel spatiotemporal deep learning model based on clustering, feature selection and empirical wavelet transform

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.149654 ◽

2021 ◽

pp. 149654

Author(s):

Jusong Kim ◽

Xiaoli Wang ◽

Chollyong Kang ◽

Jinwon Yu ◽

Penghui Li

Keyword(s):

Feature Selection ◽

Deep Learning ◽

Wavelet Transform ◽

Learning Model ◽

Air Pollutant ◽

Pollutant Concentration ◽

Model Based ◽

Empirical Wavelet Transform ◽

Deep Learning Model

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Adaptive Filter and Improved Gray Predictive Model Based Multi-Model Predictive Method and Its Application in Quarter Load Forecasting

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1713435 ◽

2006 ◽

Cited By ~ 1

Author(s):

Jun Yan ◽

Chengwang Zhao ◽

Xingsheng Gu

Keyword(s):

Predictive Model ◽

Adaptive Filter ◽

Load Forecasting ◽

Model Based ◽

Predictive Method

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The Design of a Wavelet-Based Neural Network Adaptive Filter

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.860-863.2791 ◽

2013 ◽

Vol 860-863 ◽

pp. 2791-2795

Author(s):

Qian Xiao ◽

Yu Shan Jiang ◽

Ru Zheng Cui

Keyword(s):

Neural Network ◽

Wavelet Transform ◽

Real Time ◽

Adaptive Filter ◽

Adaptive Algorithm ◽

Distributed Storage ◽

Hopfield Neural Network ◽

Lms Algorithm ◽

The Neural Network ◽

Simulation Results

Aiming at the large calculation workload of adaptive algorithm in adaptive filter based on wavelet transform, affecting the filtering speed, a wavelet-based neural network adaptive filter is constructed in this paper. Since the neural network has the ability of distributed storage and fast self-evolution, use Hopfield neural network to implement adaptive filter LMS algorithm in this filter so as to improve the speed of operation. The simulation results prove that, the new filter can achieve rapid real-time denoising.

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