This repository includes LMS-Adaptive algorithm implementation
Tuning guitar using Discrete Fourier transform and Harmonic Product Specturm
Aiming to make digital signal processing, accessible to all.
R1magic: Compressive Sampling: Sparse signal recovery utilities
OpenCV prototype linked integrate frameworks using HAAR Classification and DLib & CLM Face Detection models composed by a collection of miscellaneous Machine Learning, Computer Vision, Image Processing, and Linear Algebra algorithms.
Speaker Recognition based on GMM
repositório destinado a disciplina DCA0118 - Processamento Digital de Sinais da UFRN
A collection of semi-useful functions for signal processing
Rust library for signal processing.
personal programs for signal analysis
For collaboration in ECSE 444
Personal Repository for projects
Maths and Matlab code to multilaterate an undefined point in 3D space, based on reception times of 4+ microphones receiving an impulse created by an emitter at that point... Advanced Bird Watching!
k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster.
Undergraduate thesis on compressive sensing
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