Zobrazeno 1 - 10
of 735
pro vyhledávání: '"Wavelet thresholding"'
Autor:
Zhiyi Zeng, Peng Han, Wei Zhang, Yong Zhou, Xubiao Deng, Da Zhang, Yaqian Shi, Ying Chang, Hu Ji, Rui Dai, Jianzhong Zhang
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-22 (2024)
Abstract High signal-to-noise ratio (SNR) seismic waveform data are conductive to various studies in seismology. Seismic denoising aims to enhance SNR by eliminating additive noise through signal processing while preserving important features of the
Externí odkaz:
https://doaj.org/article/e4be7984cde24cdd9ce63c8fb6607ddf
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 5, Pp 69-76 (2024)
Due to the low signal-to-noise ratio of raw data, the reliability of data and the accuracy of acoustic source localization are severely affected by fiber optic acoustic sensing technology. To address this issue, this study optimizes the wavelet thres
Externí odkaz:
https://doaj.org/article/c7703f77ca294778beca7052217b3906
Publikováno v:
Alexandria Engineering Journal, Vol 98, Iss , Pp 56-67 (2024)
This paper proposes a noise reduction technique that combines empirical mode decomposition (EMD) and wavelet thresholding to eliminate the noise interference caused by metal slag in the steel cord conveyor belt damage signal. Initially, the original
Externí odkaz:
https://doaj.org/article/e5b4eac4bd5749e980695c69d5006263
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 1, Pp 78-84 (2024)
This paper proposes an improved adaptive noise-aided complete ensemble empirical mode decomposition (ICEEMDAN) method to address the issue of low signal-to-noise ratio in distributed optical fiber acoustic sensing systems. The proposed approach utili
Externí odkaz:
https://doaj.org/article/8bb77918e8da442c9e4882b86f615950
Autor:
K. Geetha, Malaya Kumar Hota
Publikováno v:
IEEE Access, Vol 12, Pp 39578-39588 (2024)
Random noise attenuation plays a vital step in seismic signal processing. Numerous attenuation algorithms have been developed to separate and remove the random noise; nevertheless, they have failed to attain high precision. In this work, a hybrid fra
Externí odkaz:
https://doaj.org/article/92c5c11bd99f4ac982dcaa8f7182e2a6
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 9044 (2024)
To improve the machining accuracy of free-form surface parts, a coarse-to-fine free-form surface machining error decomposition and compensation method is proposed in this paper. First, the machining error was coarsely decomposed using variational mod
Externí odkaz:
https://doaj.org/article/b85517c74cb542798a01d6e701761275
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3012 (2024)
As the eLoran signal propagates, its strength gradually diminishes with increasing distance, making subsequent signal capture and terminal development challenging. To address this phenomenon, this paper proposes an improved method based on wavelet ha
Externí odkaz:
https://doaj.org/article/8909b0765e9b4c61bf1ba97c9b3fa45c
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5076 (2024)
Aiming at the problem that the existing harmonic detection methods are susceptible to noise interference in the actual working environment, which leads to the reduction of detection accuracy, this paper introduces a novel harmonic detection technique
Externí odkaz:
https://doaj.org/article/c495df9ccc5e4e1396369277762777f5
Publikováno v:
Eurasian Journal of Science and Engineering, Vol 9, Iss 1, Pp 99-115 (2023)
In this work we propose, a hybrid noise reduction algorithm that is a combination of a spatial field binary filter and a hybrid wave field threshold function. These two methods are used to stop Gaussian noise. The hybrid filter is a nonlinear filter
Externí odkaz:
https://doaj.org/article/bf5df175d2b9428fb745674c2e14c038
Publikováno v:
Annals of Noninvasive Electrocardiology, Vol 28, Iss 5, Pp n/a-n/a (2023)
Abstract Background Invasive recording of His bundle signals (HBS) in electrophysiological study (EPS) is important in determining HV interval, the time taken to activate the ventricles from the His bundle. Noninvasive surface measurements of HBS are
Externí odkaz:
https://doaj.org/article/d4f7fe5bea6a4b49836b7f5b8e9bb2a9