Backward sequential elimination for sparse vector subset selection

Signal Processing

Volumn 81, Issue 9, 2001, Pages 1849-1864

  Cotter, S F ^a   Kreutz Delgado, K ^a   Rao, B D ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Backward elimination; Sparsity; Subset selection

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; ERROR ANALYSIS; ITERATIVE METHODS; VECTORS;

BACKWARD SEQUENTIAL ELIMINATION ALGORITHMS; SPARSE VECTOR SUBSET SELECTIONS;

DIGITAL SIGNAL PROCESSING;

EID: 0035452299     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-1684(01)00064-0     Document Type: Article

References (41)

1. Comparison of basis selection methods
2. A new model of LPC excitation for producing natural-sounding speech at low bit rates
3. Matching pursuit of images
4. Extrapolation and spectral estimation with iterative weighted norm modification
5. Basis pursuit
6. Atomic decomposition by basis pursuit
7. Fast orthogonal least squares algorithm for efficient subset model selection
8. Efficient computational schemes for the orthogonal least squares learning algorithm
9. Fast basis selection methods
10. On the optimality of the backward greedy algorithm for the subset selection problem
11. Adaptive time-frequency decompositions
12. Automatic test generation techniques for analog circuits and systems: A review
13. What is the goal of sensory coding
14. Projection pursuit regression
15. Atomic decompositions of audio signals
16. Neuromagnetic source imaging with FOCUSS: A recursive weighted minimum norm algorithm
17. A recursive weighted minimum-norm algorithm: Analysis and applications
18. Sparse signal reconstructions from limited data using FOCUSS: A re-weighted minimum norm algorithm
19. Analysis of sound signals with high resolution matching pursuit
20. Fast optimal and suboptimal algorithms for sparse solutions to linear inverse problems
21. Selection of the best subset in regression analysis
22. Sparse basis selection, ICA, and majorization: Towards a unified perspective
23. Convex/Schur-Convex (CSC) log-priors and sparse coding
24. Computational efficiency in the selection of regression variables
25. Improvement of discrete band-limited signal extrapolation by iterative subspace modification
26. Matching pursuits with time-frequency dictionaries
27. Sparse approximate solutions to linear systems
28. Very low bit-rate video coding based on matching pursuits
29. Emergence of simple-cell receptive field properties by learning a sparse code for natural images
30. Orthogonal matching pursuit: Recursive function approximation with applications to wavelet decomposition
31. Adaptive multiresolution image coding with matching and basis pursuits
32. The application of waveform dictionaries to stock market index data
33. Signal processing with the sparseness constraint
34. An affine scaling methodology for best basis selection
35. An efficient implementation of the backward greedy algorithm for sparse signal reconstruction
36. Amplitude optimization and pitch prediction in multipulse coders