Suboptimal selecting subspace for biorthonormal signal representation
Resource
Signal Processing 59 (1997) 321-328
Journal
Signal Processing
Journal Volume
59
Journal Issue
1997
Pages
321-328
Date Issued
1997
Date
1997
Author(s)
Yeh, Min-Hung
DOI
246246/2006111501244213
Abstract
Biorthogonal representations have been widely used in signal processing. Gabor expansion and wavelet transform are
two popular ones. When the signal, expressed using orthonormal representation, is to be approximated by partial set of the
basis, the criterion to obtain LSE approximation is to discard those basis vectors corresponding to smaller coefficients of the
representation. However, such a simple strategy for discarding/retaining basis vectors does not hold for biorthonormal
cases. The re-calculation for coefficients is needed in order to avoid large distortions. In this paper, we propose and
investigate into several algorithms for finding the suboptimal subspace to represent the signals, and present the error
analysis pertaining to biorthonormal signal representation.
Subjects
Signal representation
Signal compression
Publisher
Taipei:National Taiwan University Dept Mech Engn
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
9864.pdf
Size
23.06 KB
Format
Adobe PDF
Checksum
(MD5):d1e6d50664d05f268b2de1c7b509e653