scholarly journals USAGE OF WAVELET TRANSFORM FOR ECG DATA PROCESSING AND ANALYSIS IN INSTRUMENTAL CARDIOLOGY

2018 ◽  
Vol 22 (6) ◽  
pp. 116-122
Author(s):  
O.M. Poleshchuk ◽  
◽  
N.G. Poyarkov ◽  
N.A. Yashin ◽  
◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Data Processing ◽  
Ecg Data

Exterior Ballistic Data Processing by SVD and Wavelet Transform

2012 ◽  
Vol 562-564 ◽  
pp. 1394-1397
Author(s):  
Yu Hua Dong ◽  
Hai Chun Ning
Keyword(s):  
Wavelet Transform ◽  
Phase Space ◽  
Data Processing ◽  
Wavelet Decomposition ◽  
Hankel Matrix ◽  
Singular Value ◽  
Experimental Data Processing ◽  
Abnormal Detection ◽  
Reconstructed Phase Space ◽  
Trajectory Measurement

This paper proposes a method of wavelet transform combined with SVD (Singular Value Extracting), and the abnormal data elimination in its trajectory measurement is studied. After the wavelet decomposition of the observed data, combining the approximate component and the detail component, the phase space is reconstructed. The increment criterion of singular entropy is used for the input observed matrix of SVD, and the singular value is selected. Then the original signal is reconstructed by SVD inverse transform. This method overcomes the distortion problem of data end in phase space reconstruction by Hankel matrix. The reconstructed phase space by components of wavelet decomposition is orthogonal. So it further improves the accuracy of noise reduction and abnormal detection by SVD. The results of experimental data processing show the effectiveness of this method proposed in the paper.

ECG Data Processing with the Hanover Program

2015 ◽  
pp. 127-131
Author(s):  
H. Abel ◽  
C. Zywietz ◽  
W. Schiemann ◽  
W. Alraun
Keyword(s):  
Data Processing ◽  
Ecg Data

Data-processing method of white-light differential interference based on wavelet transform

2005 ◽  
Author(s):  
Yongjun Nie ◽  
Huimin Yan ◽  
Yanli Du ◽  
Yong Wu ◽  
Xiaoqiang Yao ◽  
...  
Keyword(s):  
Wavelet Transform ◽  
Data Processing ◽  
White Light ◽  
Processing Method ◽  
Data Processing Method

scholarly journals Prospects for the Application of Wavelet Analysis to the Results of Thermal Conductivity Express Control of Thermal Insulation Materials

Energies ◽  
2021 ◽  
Vol 14 (17) ◽  
pp. 5223
Author(s):  
Oleksandra Hotra ◽  
Svitlana Kovtun ◽  
Oleg Dekusha ◽  
Żaklin Grądz
Keyword(s):  
Thermal Conductivity ◽  
Wavelet Transform ◽  
Data Processing ◽  
Thermal Insulation ◽  
Control Method ◽  
Measurement Data ◽  
Conductivity Measurement ◽  
Differential Method ◽  
Expanded Polystyrene ◽  
Insulation Materials

This article discusses an express control method that allows in situ measurements of the thermal conductivity of insulation materials. Three samples of the most common thermal insulation materials, such as polyurethane, extruded polystyrene, and expanded polystyrene, were studied. Additionally, optical and organic glasses were investigated as materials with a stable value of thermal conductivity. For the measurement of thermal conductivity, the express control device, which implements the differential method of local heat influence, was used. The case studies were focused on the reduction of fluctuations of the measured signals caused by different influencing factors using wavelet transform. The application of wavelet transform for data processing decreased the thermal conductivity measurement’s relative error for organic glass SOL and optical glasses TF-1 and LK-5. The application of wavelet transform thermal conductivity measurement data for polyurethane, extruded polystyrene, and expanded polystyrene allowed to reduce twice the duration of express control while maintaining the same level of measurement error. The results of the investigation could be used to increase the accuracy in express control of the thermal conductivity of insulation materials by improving the data processing. This approach could be implemented in software and does not require a change in the design of the measuring equipment or the use of additional tools.

scholarly journals Research and Application of Rayleigh Wave 3-D Phase Velocity Imaging Based on Wavelet Transform

2021 ◽  
Vol 64 (1) ◽  
Author(s):  
Xiang Min ◽  
Qi Xinghua ◽  
Zhang Fengwei
Keyword(s):  
Wavelet Transform ◽  
Phase Velocity ◽  
Data Processing ◽  
Rayleigh Wave ◽  
Wave Velocity ◽  
Frequency Component ◽  
Singular Value ◽  
Processing Method ◽  
Wave Data ◽  
Data Processing Method

Rayleigh wave detection is a recently developed method for shallow seismic exploration. Current Rayleigh wave data processing and interpretation methods can only provide the transverse average wave velocity of rock-soil bodies under the geophone array range, resulting in a low lateral resolution of wave velocity. To solve this problem, this paper presents a Rayleigh wave data processing method based on wavelet transform. First, the Hankel matrix is constructed from the intercepted Rayleigh wave, and the effective singular value is preserved by singular value decomposition to filter the Rayleigh wave. Then, the appropriate center frequency is selected and the corresponding relationship between the time and frequency of the Rayleigh wave is obtained via wavelet transform. The waveform of each frequency component can be extracted and the complete time difference of each frequency component between two geophones will be obtained and used to calculate the phase velocity-depth profile of the Rayleigh wave in a rock-soil body. This method is applied to examine unfavorable geological bodies that are underground in a yard. By combining the phase velocity-depth profiles of several survey lines, the 3-D image of phase velocity of Rayleigh wave underground can be obtained. This method can provide the phase velocity distribution of the formation below the survey line by only one measurement, which greatly improves upon the work efficiency and lateral resolution of the traditional Rayleigh wave data processing method.

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