Hybrid method based on singular value decomposition and embedded zero tree wavelet technique for ECG signal compression

2016 ◽  
Vol 129 ◽  
pp. 135-148 ◽  
Author(s):  
Ranjeet Kumar ◽  
A. Kumar ◽  
G.K. Singh
Keyword(s):  
Singular Value Decomposition ◽  
Hybrid Method ◽  
Singular Value ◽  
Ecg Signal ◽  
Signal Compression ◽  
Value Decomposition ◽  
Zero Tree ◽  
Wavelet Technique

Combining singular value decomposition and a non-negative constraint in a hybrid method for photothermal depth profiling

2005 ◽  
Vol 76 (2) ◽  
pp. 024301 ◽  
Author(s):  
Wim Verkruysse ◽  
Boris Majaron ◽  
Bernard Choi ◽  
J. Stuart Nelson
Keyword(s):  
Singular Value Decomposition ◽  
Hybrid Method ◽  
Depth Profiling ◽  
Singular Value ◽  
Value Decomposition

scholarly journals PRIVACY PRESERVING CLUSTERING BASED ON SINGULAR VALUE DECOMPOSITION AND GEOMETRIC DATA PERTURBATION

2013 ◽  
Vol 10 (3) ◽  
pp. 1427-1433 ◽  
Author(s):  
M. Naga Lakshmi ◽  
Dr. K Sandhya Rani
Keyword(s):  
Data Mining ◽  
Singular Value Decomposition ◽  
Hybrid Method ◽  
Privacy Preservation ◽  
Hybrid Methods ◽  
Singular Value ◽  
Data Perturbation ◽  
Geometric Data ◽  
Reflection Data ◽  
Value Decomposition

Privacy preservation is a major concern when the application of data mining techniques to large repositories of data consists of personal, sensitive and confidential information. Singular Value Decomposition (SVD) is a matrix factorization method, which can produces perturbed data by efficiently removing unnecessary information for data mining. In this paper two hybrid methods are proposed which takes the advantage of existing techniques SVD and geometric data transformations in order to provide better privacy preservation. Reflection data perturbation and scaling data perturbation are familiar geometric data transformation methods which retains the statistical properties in the dataset. In hybrid method one, SVD and scaling data perturbation are used as a combination to obtain the distorted dataset. In hybrid method two, SVD and reflection data perturbation methods are used as a combination to obtain the distorted dataset. The experimental results demonstrated that the proposed hybrid methods are providing higher utility without breaching privacy.

Numerical performance of hyperplane constrained method and its hybrid method for singular value decomposition

Computing ◽  
2011 ◽  
Vol 92 (3) ◽  
pp. 265-283 ◽  
Author(s):  
Kenichi Yadani ◽  
Koichi Kondo ◽  
Masashi Iwasaki
Keyword(s):  
Singular Value Decomposition ◽  
Hybrid Method ◽  
Singular Value ◽  
Numerical Performance ◽  
Value Decomposition

A novel method based on Adaptive Periodic Segment Matrix and Singular Value Decomposition for removing EMG artifact in ECG signal

2020 ◽  
Vol 62 ◽  
pp. 102060 ◽  
Author(s):  
Xieqi Chen ◽  
Jianhui Lin ◽  
Chenguang Huang ◽  
Liu He
Keyword(s):  
Singular Value Decomposition ◽  
Singular Value ◽  
Ecg Signal ◽  
Novel Method ◽  
Value Decomposition
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