SPARSE + CELP lossy signal compression codecs
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Updated
May 31, 2017 - MATLAB
SPARSE + CELP lossy signal compression codecs
A fast MATLAB toolbox for N-dimensional sparse arrays.
University Project for core course Scientific Computing
This package contains multiple 3D OCT denoising methods, including our proposed mixed multiscale BM4D (mmBM4D), which is one of the fastest multiscale 3D OCT denoising methods.
MATLAB implementation of Orthogonal Matching Pursuit to find the sparsest solution to a linear system of equations, via combinatorial search.
Code for Sampling of Graph Signals via Randomized Local Aggregations
Optical Coherence Tomography Retinal Image Reconstruction via Non-local Weighted Sparse Representation
Pattern Recognition 2018 paper
Matlab based implementation for doing face recognition using Discriminative KSVD technique.
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
Various camera models (Full, Weak and Orthographic) are used to convert 3D real world points into 2D image pixel coordinates by simulating a 'virtual camera'
A MATLAB library for sparse representation problems
NMFLibrary: Non-negative Matrix Factorization (NMF) Library: Version 2.1
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