Greedy Algorithms promoting Group Sparsity: A=matrix_normalizer(B) - File Exchange

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A=matrix_normalizer(B)
BOMP(A, y, group, sparsity, e... Block Orthogonal Matching Pursuit - selection of group based on highest
GOMP(A, y, group, err) Group orthogonal Matching Pursuit - selection of group based on highest
GenGroupSparseProblem(m, n, n... Initialize random number generator
ReGOMP(A, y, group, sparsity,... Regularized Group Orthogonal Matching Pursuit - Combining ideas from [1]
StGOMP(A, y, group, steps, er... Stagewise Group Orthogonal Matching Pursuit - Combining Ideas from [1]
fdrthresh(z,q)
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from Greedy Algorithms promoting Group Sparsity by Angshul Majumdar
Approximate Greedy Solutions to the problem min||x(k)||_2,0 such that Ax = b

A=matrix_normalizer(B)
function A=matrix_normalizer(B) [m n] = size(B); for i = 1:n A(:,i) = B(:,i)/norm(B(:,i)); end