Sparse Randomized Kaczmarz for Multiple Measurement Vectors.
13 Dec 2013
Implementation of sparse randomized Kaczmarz algorithm to handle multiple measurements.
%This is a simple demo of our implementation of Sparse Randomized Kaczmarz
%algorithm to handle multiple measurement vectors.
%please see the function for commented details on input and output.
%No. of multiple measurement vectors are represented by L
% A is m by n
% X is n by L
% B = AX is m by L
clc; clear all ; close all;
m=500; n=100; L=5; K=10; estSupp=20; J=5; %overdetermined system
AvgOver=1; %Repeats the experiment this many time
fprintf('\n Mean Error with SRK-MMV = %1.8f \n',mean(errSrk));