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Abstract
We study the numerical and computational performance of three implementations of orthogonal matching pursuit: one using the QR matrix decomposition, one using the Cholesky matrix decomposition, and one using the matrix inversion lemma. We find that none of these implementations suffer from numerical error accumulation in the inner products or the solution. Furthermore, we empirically compare the computational times of each algorithm over the phase plane.
Original language | English |
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Journal | Proceedings of the European Signal Processing Conference |
Volume | 2012 |
Pages (from-to) | 220-224 |
Number of pages | 5 |
ISSN | 2076-1465 |
Publication status | Published - 2012 |
Event | EUSIPCO2012 - Bucharest, Romania Duration: 27 Aug 2012 → … |
Conference
Conference | EUSIPCO2012 |
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Country/Territory | Romania |
City | Bucharest |
Period | 27/08/2012 → … |
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Dive into the research topics of 'Comparison of Orthogonal Matching Pursuit Implementations'. Together they form a unique fingerprint.Projects
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Greedy Sparse Approximation and the Automatic Description of Audio and Music Data
Sturm, B. L.
Technology and Production Independent Postdoc Center for Independent Research
01/01/2012 → …
Project: Research