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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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

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to get information about the topicsalt and pepper image noise reduction full report ppt and related topic refer the page link bellow

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Audio Signals and Systems and its analysis



What is Audio?

Audio means of sound or of the reproduction of sound .
, it refers to the range of frequencies detectable by the human ear approximately 20Hz to 20kHz

Audio work involves the production, recording, manipulation and reproduction of sound waves

FFT for audio Signal Analysis

The FFT can be applied directly to finite duration energy signals to examine the spectral content of the signal.

The ....etc

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Software implementation of coherent demodulation of audio (speech) signals



Sharad Kumar
Student Id 4114356
EE 4541 Digital Signal Processing Project
FINAL REPORT

abstract

INTRODUCTION

Demodulating a signal decomposes it into a slowly varying temporal envelope and a rapidly varying cosine (or fine structure--related to the instantaneous frequency of the signal). The motivation in representing a signal by envelope and fine structure comes from our desire to understand and model ....etc

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subband coding of audio speech signal and decopression using matlab ....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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matlab code for image noise reduction using fuzzy technique ....etc

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

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