DocumentCode :
3492468
Title :
Singular value decomposition transform with an FFT-based algorithm on the connection machine CM5
Author :
Cao-Huu, Tuan ; Évéquoz, Claude
Author_Institution :
Harvard Univ., USA
Volume :
2
fYear :
1995
fDate :
5-8 Sep 1995
Firstpage :
1046
Abstract :
We describe in this paper the parallel implementation of a modified, high radix fast Fourier transform (FFT) together with a Jacobi-based algorithm for matrix factorization to compute the singular value decomposition (SVD) of a 16384×16384 projection normal matrix arising from probability measure estimation in positron emission tomography (PET). We simplify the analysis significantly by working with block matrices and the Kronecker products because the symmetries built into the orthogonal decompositions allow the computation of the various factorizations of interest
Keywords :
Jacobian matrices; fast Fourier transforms; medical image processing; parallel processing; positron emission tomography; probability; singular value decomposition; FFT-based algorithm; Jacobi-based algorithm; Kronecker products; PET; block matrices; connection machine CM5; factorizations; high radix fast Fourier transform; image processing; matrix factorization; orthogonal decompositions; parallel computing; positron emission tomography; probability measure estimation; singular value decomposition transform; Concurrent computing; Fast Fourier transforms; Image coding; Image processing; Jacobian matrices; Matrix decomposition; Parallel processing; Partitioning algorithms; Positron emission tomography; Singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
ISSN :
0840-7789
Print_ISBN :
0-7803-2766-7
Type :
conf
DOI :
10.1109/CCECE.1995.526609
Filename :
526609
Link To Document :
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