This repository will contain necessary signal processing codes in Matlab or Python of my course " Digital Signal Processing (CSE3132) ".
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Updated
Jan 10, 2023 - MATLAB
This repository will contain necessary signal processing codes in Matlab or Python of my course " Digital Signal Processing (CSE3132) ".
This is a repository where I added my DSP codes that have written in Matlab (without built-in function). I have also commented inside every code so that it will become helpful for newbies. Also added cross-check using Library Function.
This repository includes the source code of the DFT-based channel estimators proposed in "Low Complex Methods for Robust Channel Estimation in Doubly Dispersive Environments" paper [1] that is published in the IEEE Access, 2022.
Converting acceleration to displacements records
In this repository I store example scripts of some DSP algorithms made in MATLAB. These served an educational purpose when I wrote them, I'm making them public, since I had trouble finding example code.
Some implementations of DSP topics in Matlab
using Matlab to simulate the graphene energy band with approximation tight binding calculation
Implementation of an IEEE Paper
Digital signal processing (DSP) is the use of computers or specialized hardware, to perform a wide variety of signal processing operations.
Digital signal processing laboratories. Sampling and aliasing; Discrete Fourier transform (DFT); Digital filters; Autoregressive least squares (LS); Maximum Likelihood Estimation (MLE)
MATLAB-based Digital Signal Processing Laboratory with examples of convolution, DFT, FIR filtering, and more. Each folder includes code and individual README files for theoretical explanations.
COMPENG Digital Signal Processing
This repository will contain necessary signal processing codes in Matlab or Python of my course 'Digital Signal Processing (CSE3131)'.
TFG de Matemáticas. Destacar la aplicación de recuperación de imagenes, implementada en image_reconstruction.m, y la memoria y presentación del TFG, contenidas en MEMORIA.zip. Aplicación de reconstrucción de imágenes con píxeles aleatorios perdidos utilizando la teoría de marcos finitos y sus resultados principales en la teoría de muestreo.
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