A simple fuzzy method to remove mixed
Gaussian-impulsive noise from colour images ....etc

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INTERFERENCE CANCELLATION IN ECG SIGNALS



INTRODUCTION

The Electrocardiogram (ECG or EKG) is a painless test that records the electrical activity of the functioning of the heart.
Based on ECG signal features, physicians diagnose different Arrhythmias .

Problem Definition

ECG signals in their acquisition process are affected by various types of noise.
Noise degrades the signal quality and change tiny features that may be critical for clinical monitoring and diagnosis.
The power line frequ ....etc

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The Electrocardiogram (ECG) is a valuable signal recording the heart's electrical activity. The filtering quality of ECG signals directly affects the medical diagnosis. Since wavelet analysis can provide both time and frequency information, many nonlinear thresholding methods based on wavelet transform denoising have been applied to the noise reduction of ECG signals. However, most of these threshold shrinkage functions cannot adapt to different signals due to the fixed transition curve of threshold. Therefore, a novel genetic optimized wavelet ....etc

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noise reduction by fuzzy image filtering java code

Abstract
The main objective of this system is to focus on fuzzy techniques for image filtering. Already several fuzzy filters for noise reduction have been developed. Those technique deals with fat-tailed noise like impulse noise. Most fuzzy techniques are not specifically designed for Gaussian (-like) noise or do not produce convincing results when applied to handle this type of noise. A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise.

Proposed S ....etc

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To get full information or details of salt and pepper noise removal by median type noise detectors and detail preserving regularization please have a look on the pages

http://seminarsprojects.net/Thread-salt-and-pepper-noise-removal-by-median-type-noise-detectors-and-detail-preserving

http://seminarsprojects.net/Thread-salt-and-pepper-noise-removal-by-median-type-noise-detectors-and-detail-preserving?pid=84244&mode=threaded

if you again feel trouble on salt and pepper noise removal by median type noise detectors and detail preserving regu ....etc

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Low-Noise, Non-Contact EEG/ECG Sensor

Thomas J. Sullivan, Stephen R. Deiss, and Gert Cauwenberghs Division of Biological Sciences, University of California, San Diego La Jolla, CA 92093-0368 USA


Abstract Typical electroencephalogram (EEG) and electrocardiogram (ECG) sensors require conductive gel to ensure low-impedance electrical contact between the sensor and skin, making set-up time-consuming and long-term recording problematic. We present a gel-free, non-contact EEG/ECG sensor with on-board electrode that capacitively couples t ....etc

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To get full information or details of fuzzy filters for noise reduction source code please have a look on the pages

http://seminarsprojects.net/Thread-a-new-fuzzy-color-correlated-impulse-noise-reduction-method

http://seminarsprojects.net/Thread-a-fuzzy-noise-reduction-method-for-color-images

http://seminarsprojects.net/Thread-noise-reduction-by-fuzzy-image-filtering-ppt

http://seminarsprojects.net/Thread-noise-reduction-by-fuzzy-image-filtering--13341

http://seminarsprojects.net/Thread-noise-reduction-by-fuzzy-image-filtering--7175?pid=65 ....etc

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matlab code for image noise reduction using fuzzy technique ....etc

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to get information about the topic fuzzy filter for impulse noise reduction in color images matlab code full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-a-new-fuzzy-color-correlated-impulse-noise-reduction-method

http://seminarsprojects.net/Thread-a-fuzzy-noise-reduction-method-for-color-images ....etc

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A new fuzzy filter is presented for the reduction of noise of damaged images with additive noise. The filter consists of two stages. The first step calculates a diffuse derivative for eight different directions. The second stage uses these fuzzy derivatives to perform diffuse smoothing by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules that make use of membership functions. The filter can be applied iteratively to effectively reduce heavy noise. In particular, the form of ....etc

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