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Highlights from
Greedy Algorithms promoting Group Sparsity V3

• A=matrix_normalizer(B)
• BMP(A, y, group, err) Block Matching Pursuit
• BOLS(A, y, group, err) Block Orthogonal Least Squares - selection of group based on highest
• BOMP(A, y, group, err) Block Orthogonal Matching Pursuit - selection of group based on highest
• GMP(A, y, group, err) Group Matching Pursuit
• GOLS(A, y, group, err) Group Orthogonal Least Squares - 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]
• [s, err_mse, iter_time]=block... block_gp: Block Gradient Pursuit algorithm (modification from [1])
• [s, err_mse, iter_time]=block... group_nomp: Block Nearly Orthogonal Matching Pursuit algorithm
• [s, err_mse, iter_time]=block... group_pcgp: Block Partial Conjugate Gradient Pursuit algorithm
• [s, err_mse, iter_time]=group... group_gp: Group Gradient Pursuit algorithm (modification from [1])
• [s, err_mse, iter_time]=group... group_nomp: Group Nearly Orthogonal Matching Pursuit algorithm
• [s, err_mse, iter_time]=group... group_pcgp: Group Partial Conjugate Gradient Pursuit algorithm
• fdrthresh(z,q)
• demo.m
• View all files