gummif / SpESOLinks
Energy spectrum estimation of turbulence signals by compressive sampling (compressed sensing)
☆13Updated 11 years ago
Alternatives and similar repositories for SpESO
Users that are interested in SpESO are comparing it to the libraries listed below
Sorting:
- A couple of simple compressed sensing examples, based on examples from the notes of the excellent Computational Methods for Data Analysis…☆29Updated 11 years ago
- Scalable sparse Bayesian learning for large CS recovery problems☆27Updated 4 years ago
- Code developed during my Master's thesis, testing various Compressed Sensing based reconstructions☆14Updated 11 years ago
- Matlab codes for Lq-norm regularized least-absolutes (LA) optimization for sparse recovery☆17Updated 9 years ago
- Codes for dictionary learning for sparse representation☆16Updated 9 years ago
- An implementation to "Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm"…☆14Updated 3 years ago
- Repo containing a copy of mcbench benchmarks☆113Updated 7 years ago
- Recovery and Demixing of Sparse Signals Using Nonconvex Regularization☆18Updated 8 years ago
- Bayesian Group-sparse Compressed Sensing Toolbox (FG 2015)☆44Updated 7 years ago
- Sparse signal recovery via generalized entropy functions minimization☆13Updated 5 years ago
- Bayesian Compressive Sensing and Multi-task Compressive Sensing☆88Updated 9 years ago
- Acoustic signal processing and underwater acoustic communications.☆17Updated 7 years ago
- High-Resolution Source Localization Exploiting the Sparsity of the Beamforming Map☆26Updated 3 years ago
- It is a global optimization method (Particle Swarm Optimization) used for non-convex cost function.☆11Updated 11 years ago
- Kernel Sparse Representation for Time Series Classification☆17Updated 11 years ago
- A solver for large-scale sparse least squares☆114Updated 4 years ago
- Repo for all of Motionstation☆32Updated 8 years ago
- A fast sparse Bayesian learning algorithm based on gaussian scale mixture model for regression problem☆37Updated 3 years ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆55Updated 6 years ago
- Radar Cross Section (RCS) Matlab routines for Discontinuous Galerkin Time Domain methods. Supports linear and quadratic triangles of arbi…☆28Updated 8 years ago
- Distributed Compressive Sensing: A Deep Learning Approach☆69Updated 8 years ago
- This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have subm…☆18Updated 4 months ago
- This repository provides a Matlab implementation of the ADMM-based solvers for L1-L1 and L1-L2 minimization.☆17Updated 7 years ago
- A fast implementation of the Block Sparse Bayesian Learning algorithm☆83Updated 3 years ago
- monte-carlo-mie-scattering-polydisperse-particles☆21Updated 2 years ago
- Nonlinear optimization for MATLAB.☆28Updated 5 years ago
- MATLAB library for working with alpha stable distributions☆29Updated 11 years ago
- ☆31Updated 7 years ago
- Fast Marginalized implementation of Spatio-Temporal Block Sparse Bayesian Learning Algorithm.☆10Updated 10 years ago
- Calculate Tikhonov-regularized, Gauss-Newton nonlinear iterated inversion to solve the damped nonlinear least squares problem (Matlab cod…☆23Updated 9 years ago