Pinned Repositories
4rthOrd_Cumulant_Based_ESPRIT
Origional Push
covarianceEstimation-massiveMIMO
This is the code that generates the figures in the paper titled "Covariance Matrix Estimation for Massive MIMO" authored by Karthik Upadhya and Sergiy A. Vorobyov and published in IEEE Signal Processing Letters, vol. 25, no. 4, pp. 546-550, April 2018.
cyclo-matlab
Cyclostationary processing concepts and methods
DICTOL
DICTOL - A Dictionary Learning Toolbox in Matlab and Python
doamm
Implementation of algorithms for refinement of direction of arrival estimators by optimization
L1-SVD
a realization of the paper
learning_git
learning gitlab
Non-Uniform-Array
MATLAB codes for non-uniform antenna array optimization
PCA_MUSIC
Matlab code for my paper "Bayesian inference for PCA and MUSIC algorithms with unknown number of sources", IEEE Trans. on signal processing, 2018
PRML-Matlab
santoshmore85's Repositories
santoshmore85/4rthOrd_Cumulant_Based_ESPRIT
Origional Push
santoshmore85/covarianceEstimation-massiveMIMO
This is the code that generates the figures in the paper titled "Covariance Matrix Estimation for Massive MIMO" authored by Karthik Upadhya and Sergiy A. Vorobyov and published in IEEE Signal Processing Letters, vol. 25, no. 4, pp. 546-550, April 2018.
santoshmore85/L1-SVD
a realization of the paper
santoshmore85/PCA_MUSIC
Matlab code for my paper "Bayesian inference for PCA and MUSIC algorithms with unknown number of sources", IEEE Trans. on signal processing, 2018
santoshmore85/RMTCovEst
Improved Random Estimation of covariance matrix/ Precision matrix
santoshmore85/SparseGDLibrary
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
santoshmore85/18.065_lecture_notes
lecture notes of "Matrix Methods in Data Analysis, Signal Processing, and Machine Learning"
santoshmore85/Adaptive_and_Array_Signal_Processing_TUM
lecture notes for the "Adaptive and Array signal processing" lecture at Technical University of Munich
santoshmore85/bayesSeqJointDetEst
Code for reproducing the results of D. Reinhard, M. Fauss, and A. M. Zoubir, “Bayesian Sequential Joint Detection and Estimation,”, Sequential Analaysis (under review), 2018
santoshmore85/cvx_short_course
Materials for a short course on convex optimization.
santoshmore85/Cyclostationary-Signal-Processing
santoshmore85/dictionary-learning
This repository contains implementations of various dictionary learning algorithms for sparse representation.
santoshmore85/doa-tools
A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.
santoshmore85/Expectation-Propagation
Expectation-Propagation (EP) is used in conjunction with Bayesian Inference Problems where an intractable distribution is approximated with a complex multivariate gaussian while minimizing Kullback-Leiber distance via matching moments in ascending orders.
santoshmore85/FISTA
FISTA implementation in MATLAB (recently updated FISTA with backtracking)
santoshmore85/graduation-project
a undergraduate graduation project on generalized coprime array for DOA estimation
santoshmore85/Joint-partiallyJoint-Individual-Independent-Component-Analysis
The MATLAB code of Joint/partially-Joint/Individual ICA which is a deflation-based algorithm utilizing higher order cumulants to analyze the multi-subject brain imaging data in order to extract joint, partially-joint and individual sources.
santoshmore85/master-thesis-localization-of-multiple-sound-sources
This Thesis focuses on acoustic localization and tracking of sound sources in noisy environments.
santoshmore85/mssc
Matlab codes for multimodal sparse and low-rank representation subspace clustering
santoshmore85/MUSIC-and-root-MUSIC
A simple code for Multple Signal Classification (MUSIC).
santoshmore85/MUSIC-ROOT
the final version
santoshmore85/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
santoshmore85/Numerical_Linear_Algebra_Theory_and_Applications
MATLAB codes accompanying "Numerical Linear Algebra Theory" by Larisa Beilina, Evgenii Karchevskii, and Mikhail Karchevskii
santoshmore85/sparse-coprime-sensor-arrays
Research of optimum period of coprime sensor arrays to reduce the PSL height for minimum and product processing and MUSIC algorithm comparison of estimate using a single sensor pair versus all pairs.
santoshmore85/SparseMultiDim
Sparse representation using multidimensional mixed-norm penalty
santoshmore85/statistics
Numerically stable higher-order statistics - MATLAB implementation
santoshmore85/taslp-noise-covariance-matrix-estimation-2018
Supporting code to reproduce results of published research
santoshmore85/toolbox
This document contains the functions that are currently available in the RobustSP toolbox: a Matlab toolbox for robust signal processing. The toolbox can be freely used for non-commercial use only. Please make appropriate references to our book: Zoubir, A. M., Koivunen, V., Ollila, E., and Muma, M. Robust Statistics for Signal Processing Cambridge University Press, 2018.
santoshmore85/total_least_squares_code
Experiment code for our NeurIPS 2019 paper "Total Least Squares Regression in Input Sparsity Time"
santoshmore85/WMNR
Weighted mixed-norm regularized regression for robust face identification, 2019