Signal analysis using a multiresolution form of the singular value decomposition

IEEE Transactions on Image Processing

Volumn 10, Issue 5, 2001, Pages 724-735

  Kakarala, Ramakrishna ^b,c,d   Ogunbona, Philip O ^a,b  

^a IEEE

^b Motorola Australia   (Australia)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

^d AGILENT LABORATORIES   (United States)

Author keywords

Karhunen Lo ve transform; Multivariate statistics; Principal components analysis; Singular value decomposition

Indexed keywords

APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; DIGITAL FILTERS; ERROR ANALYSIS; IMAGE QUALITY; MATHEMATICAL MODELS; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL METHODS; VECTORS; Z TRANSFORMS;

KARHUNEN-LOEVE TRANSFORM; MULTIVARIATE STATISTICS; SIGNAL ANALYSIS; SINGULAR VALUE DECOMPOSITION;

IMAGE ANALYSIS;

EID: 0035335047     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.918566     Document Type: Article

References (16)

1. On the relationships between SVD, KLT, and PCA
2. An extension of the Karhunen-Loève transform for wavelets and perfect reconstruction filterbank
3. Theory and design of signal-adapted fir paraunitary filter banks
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5. Theory and design of optimum fir compaction filters
6. The approximation of one matrix by another of lower rank
7. Entropy based algorithms for best basis selection
8. Fast Monte-Carlo algorithms for finding low-rank approximations