Two Dimensional Processing Of Speech And Ecg Signals Using The Wigner-Ville Distribution

1986 ◽  
Author(s):  
Boualem Boashash ◽  
Saman S. Abeysekera
Keyword(s):  
Two Dimensional ◽  
Ecg Signals ◽  
Dimensional Processing

Two-Dimensional Processing for Radar Systems

1997 ◽  
Author(s):  
Jaime R. Roman ◽  
Dennis W. Davis
Keyword(s):  
Two Dimensional ◽  
Radar Systems ◽  
Dimensional Processing

scholarly journals Wavelet Scalogram for Detection of R-peaks in Noisy ECG Signal

2019 ◽  
Vol 8 (10) ◽  
pp. 132-136
Keyword(s):  
Wavelet Analysis ◽  
Wavelet Transforms ◽  
Ecg Signal ◽  
Continuous Wavelet ◽  
Signal Design ◽  
Two Dimensional ◽  
Qrs Complex ◽  
Continuous Wavelet Transforms ◽  
Valuable Data ◽  
Ecg Signals

The ECG (electrocardiography) which reports heart electrical action is capable to supply with valuable data almost the sort of cardiac disarranges endured by the patient based on the fluctuations obtained from the ECG signal design. In this paper, we considered noisy ECG signals [MIT-BIH database] and their different wavelet scalograms. Wavelet analysis performed in the ECG signals with continuous wavelet transforms and it has allowed to graphically identifying scalograms energy two-dimensional characteristics of the heartbeat QRS complex.

GESA - a two-dimensional processing system using knowledge base techniques

1988 ◽  
Vol 9 (12) ◽  
pp. 820-830 ◽  
Author(s):  
David G. Rowlands ◽  
Alan Flook ◽  
Peter I. Payne ◽  
Arthur van Hoff ◽  
Tim Niblett ◽  
...  
Keyword(s):  
Knowledge Base ◽  
Processing System ◽  
Two Dimensional ◽  
Dimensional Processing

scholarly journals Sparse Matrix for ECG Identification with Two-Lead Features

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Kuo-Kun Tseng ◽  
Jiao Luo ◽  
Robert Hegarty ◽  
Wenmin Wang ◽  
Dong Haiting
Keyword(s):  
Feature Extraction ◽  
Matrix Method ◽  
Sparse Matrix ◽  
Human Identification ◽  
Two Dimensional ◽  
Ecg Signals ◽  
Biometric Security ◽  
Dimensional Matrix ◽  
The Matrix ◽  
Sparse Matrix Techniques

Electrocardiograph (ECG) human identification has the potential to improve biometric security. However, improvements in ECG identification and feature extraction are required. Previous work has focused on single lead ECG signals. Our work proposes a new algorithm for human identification by mapping two-lead ECG signals onto a two-dimensional matrix then employing a sparse matrix method to process the matrix. And that is the first application of sparse matrix techniques for ECG identification. Moreover, the results of our experiments demonstrate the benefits of our approach over existing methods.

Two-Dimensional Processing for Novel Functions

1989 ◽  
Vol 155 ◽  
Author(s):  
Hiroaki Yanagida
Keyword(s):  
Materials Design ◽  
Two Dimensional ◽  
Non Linear ◽  
P Type ◽  
Linear Interactions ◽  
Dimensional Processing

Since many interesting and novel phenomena arise from non-linear interactions between two or more different materials with opposite properties, e.g., acid vs. base, p-type vs. n-type semiconduction, reducing vs. oxidizing, host vs. guest, conducting vs. insulating, etc., it is very important to design or set, the fields where the non-linear interactions take place. This is a very important aspect of materials design. The most interesting and probably most understandable study field for non-linear interactions is interfaces. Since design of interfaces is called “two-dimensional” design [1], and processing is necessary after design, processing may therefore be called “two-dimensional processing” for novel functions.

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