Statistical Digital Signal Processing and Modeling
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Updated
Apr 18, 2024 - Python
Statistical Digital Signal Processing and Modeling
Labs of DSP2
This project was done in partial fulfillment of the requirements for the module JEB 1444: Neural Engineering in Winter 2023. First, the FitzHugh-Nagumo model is used to explore the dynamics of a coupled system and generate input-output relationships. Secondly, Wiener Bose Model is used to learn a non-parametric model on input-output signals.
enhance and restore different types of images by using various approaches
Blind deconvolution of motion blur
A novel approach to blind motion deblurring by converting a non-blind method (Weiner Deconvolution) to a blind method using Deep Learning
These scripts were written for my final project; if the topic is of interest to you, feel free to contact me.
Atividades desenvolvidas ao longo da disciplina de Filtragem Adaptativa ofertada pelo Programa de Pós-Graduação em Engenharia de Teleinformática (PPGETI).
NTUA ECE Digital Signal Processing Source Codes
Digital Image Processing Assignment solutions
Digital Image Processing written in MATLAB.
Digital image processing C++ for algo. and Matlab for display.
This repository contains my assignment solutions for the Digital Image Processing course (M2608.001000_001) offered by Seoul National University (Fall 2020).
StochasticA is a textbook / website for an “Introduction to Stochastic Signal Processing”. Materials for this website can be found here. Be sure to read the README.md document if you want to know more about the implementation.
This repository provides a PyTorch implementation of FFDNet image denoising https://arxiv.org/abs/1710.04026. First implemented by Matias Tassano https://doi.org/10.5201/ipol.2019.231, the FFDNet source code has been adapted so as to extract cameras PRNU.
Denoising filter for Avisynth 2.6.
Recover blurry images using Weiner deconvolution of an image with user-defined point spread function (PSF)
Practices of image deblurring, image inpainting, and image classification.
Kalman and Wiener Filter for faulty sensor interpolation.
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