Projet Traitement du Signal S1 N7
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Updated
Jan 25, 2021 - MATLAB
Projet Traitement du Signal S1 N7
This MATLAB script demonstrates noise reduction in audio files using a Butterworth band-pass filter. It reads an audio file specified by the user, applies the filter to remove unwanted noise, and saves the cleaned audio and statistics in separate folders.
This was a semester project in which we first apply noise to images and then create different filters inorder to remove or minimize that noise. It was an amazing project and developed inside Matlab. The filters was created from mathematical formulas and from scratch.
Gaussian parameter estimation using multiscale analysis
This software is a collection of algorithms for noise estimation, denoising, and deblurring developed by the Signal and Image Restoration group of the Tampere.
To analyze physiology data with power spectra of average and residuals.
Image denoising is to remove noise from a noisy image, so as to restore the true image.
Nonparametric noise spectrum estimation
A very fast and efficient multistage selective convolution filter for removal of salt and pepper noise
PerlinNoise class to generate n-dimensional perlin noise.
Colored/White Guassian Noise Removal via Adaptive Thresholding in Curvelet Domain
Advanced Adaptive Spatial Local Filter
Generate patterns using the fractional Brownian motion
Electroencephalography signals analysis. Detection of spikes, with threshold method and their isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.
Examples of image processing in matlab
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