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Title: CLASSIFICATION OF ECG SIGNAL USING WAVELET ANALYSIS
Page Link: CLASSIFICATION OF ECG SIGNAL USING WAVELET ANALYSIS -
Posted By: seminar class
Created at: Monday 18th of April 2011 01:35:53 PM
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• CLASSIFICATION OF ECG SIGNAL USING
WAVELET ANALYSIS

PRESENTED BY
RANJIT KUMAR
ROBINS
SANDEEP KUMAR PANDEY
SANJAY KUMAR


INTRODUCTION
What is signal ?

A signal is defined as a physical quantity that varies with time space or any other independent variable or variables.
Classification of signals:-
It is of two types:-
(1) Stationary signal
(2) Non-stationary signal
(1) Stationary signal :-
It is a signal whose frequency ....etc

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Title: power quality disturbancesclassificationdetectionmitigation using wavelet and SVM
Page Link: power quality disturbancesclassificationdetectionmitigation using wavelet and SVM -
Posted By: yarragandhi
Created at: Thursday 16th of February 2012 03:34:03 PM
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power quality disturbances,classification,detection,mitigation using wavelet and SVM

please send material/data

[email protected]
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Title: matlab source code for ecg signal denoising using db4 wavelet transform
Page Link: matlab source code for ecg signal denoising using db4 wavelet transform -
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Title: ecg signal classification using svm code in matlab
Page Link: ecg signal classification using svm code in matlab -
Posted By:
Created at: Thursday 22nd of November 2012 02:20:08 PM
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Title: svm kernel model face classification matlab code
Page Link: svm kernel model face classification matlab code -
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Title: Practical Selection of SVM Parameters and Noise Estimation for SVM Regression
Page Link: Practical Selection of SVM Parameters and Noise Estimation for SVM Regression -
Posted By: smart paper boy
Created at: Friday 29th of July 2011 04:54:38 PM
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Abstract
We investigate practical selection of meta-parameters for SVM regression (that is,
ε -insensitive zone and regularization parameter C). The proposed methodology advocates analytic
parameter selection directly from the training data, rather than resampling approaches commonly
used in SVM applications. Good generalization performance of the proposed parameter selection is
demonstrated empirically using several low-dimensional and high-dimensional regression
problems. Further, we point out the importance of Vapnik’s ε -i ....etc

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Title: Morphological granulometric features of nucleus in automatic bone marrow wbc classification
Page Link: Morphological granulometric features of nucleus in automatic bone marrow wbc classification -
Posted By: Ambigai
Created at: Wednesday 09th of March 2011 06:05:50 PM
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Title: ADAPTIVE ESTIMATION OF THE QRS COMPLEX WAVE FEATURES OF THE ECG SIGNAL BY THE HERMITE
Page Link: ADAPTIVE ESTIMATION OF THE QRS COMPLEX WAVE FEATURES OF THE ECG SIGNAL BY THE HERMITE -
Posted By: seminar details
Created at: Tuesday 05th of June 2012 07:33:26 PM
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ADAPTIVE ESTIMATION OF THE QRS COMPLEX WAVE FEATURES OF THE ECG SIGNAL BY THE HERMITE MODEL



INTRODUCTION

The Electrocardiographic signal ECG represents the electrical activity of the heart recorded on the
body surface
The analysis of this signal is the most common way to study and diagnose cardiac
dysfunctions
The ECG signal is characterized by its recurrent or periodic behavior with each beat
Each
recurrence is composed of a wave sequence P QR ....etc

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Title: svm classifier codes for feature classification in retinal images using matlab
Page Link: svm classifier codes for feature classification in retinal images using matlab -
Posted By:
Created at: Sunday 26th of March 2017 06:25:21 PM
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Title: matlab code for color image classification using svm
Page Link: matlab code for color image classification using svm -
Posted By:
Created at: Sunday 07th of October 2012 03:03:57 AM
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