Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

Fourier analysis applications for image matching.

Gillespie Stochastic Simulation Algorithm

VAD in noisy environments

💓 Free your ECG data from select-frequency noise

Performance of Bit Error Probabilities of M-QAM, M-PSK, I-PAM of a channel subjected to impulsive noise and Shadow Rician fading

Learning-to-Augment Strategy Using Noisy and Denoised Data: An Algorithm to Improve Generalization of Deep CNN

Performance of Bit Error Probabilities of M-QAM, M-PAK, I-PAM for a channel subjected to impulsive noise and Nakagami fading

Colored/White Guassian Noise Removal via Adaptive Thresholding in Curvelet Domain

Advanced Adaptive Spatial Local Filter

Electroencephalography signals analysis. Detection of spikes, with threshold method and their isolation with windowing. Temporal and spectral feature extraction. Classification in three neurons.

Generating multivariate noise

Generate patterns using the fractional Brownian motion

Gaussian parameter estimation using multiscale analysis

Image denoising is to remove noise from a noisy image, so as to restore the true image.

Mini Project IT @4th Sem

Hybrid Extended Kalman Filter and Particle Filter. Graded project for the ETH course "Recursive Estimation" (Spring 2021).

This software is a collection of algorithms for noise estimation, denoising, and deblurring developed by the Signal and Image Restoration group of the Tampere.

Digital Image Processing using MATLAB

An investigation into the advantages/disadvantages of some image noise removal techniques