Online Denoising Based on the Second-Order Adaptive Statistics Model-Reference-Cited by-同舟云学术

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Online Denoising Based on the Second-Order Adaptive Statistics Model

Published:2017-07-20 Issue:7 Volume:17 Page:1668
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Yi Sheng-Lun,Jin Xue-Bo,Su Ting-Li,Tang Zhen-Yun,Wang Fa-Fa,Xiang Na,Kong Jian-Lei

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/17/7/1668/pdf

Reference30 articles.

1. Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection

2. Time Series Prediction Using Support Vector Machines: A Survey

3. Universal discrete denoising: known channel

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4. Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization;Energies;2021-03-13

5. Robust Online Filter Based on a Second-Order Adaptive Model;Lecture Notes in Electrical Engineering;2020-09-30

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