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PRL
2006
103views more  PRL 2006»
13 years 4 months ago
Comparison of extrasystolic ECG signal classifiers using discrete wavelet transforms
This work compares and contrasts results of classifying time-domain ECG signals with pathological conditions taken from the MIT
Tom Froese, Sillas Hadjiloucas, Roberto Kawakami H...
ICHIT
2009
Springer
13 years 11 months ago
ECG signal compression using 2D wavelet foveation
Foveation principles suggested by natural vision systems enable the construction of a proper mask that may modulate the coefficients given by the Discrete Wavelet Transform of an ...
Iulian B. Ciocoiu
IJACTAICIT
2010
213views more  IJACTAICIT 2010»
13 years 1 months ago
Classification of Cardiac Arrhythmias using Biorthogonal Wavelets and Support Vector Machines
The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
Berdakh Abibullaev, Won-Seok Kang, Seung-Hyun Lee,...
ICMCS
2008
IEEE
201views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Logitboost weka classifier speech segmentation
Segmenting the speech signals on the basis of time-frequency analysis is the most natural approach. Boundaries are located in places where energy of some frequency subband rapidly...
Bartosz Ziólko, Suresh Manandhar, Richard C...
ICPR
2006
IEEE
14 years 5 months ago
Statistical Model for the Classification of the Wavelet Transforms of T-ray Pulses
This study applies Auto Regressive (AR) and Auto Regressive Moving Average (ARMA) modeling to wavelet decomposed terahertz pulsed signals to assist biomedical diagnosis and mail/p...
Bradley Ferguson, Brian Wai-Him Ng, Derek Abbott, ...