Paper
23 March 1995 Parallel algorithms for binary polynomial transforms and their realization with a unified series of processors
Author Affiliations +
Proceedings Volume 2421, Image and Video Processing III; (1995) https://doi.org/10.1117/12.205485
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States
Abstract
Efficient algorithms with various level of parallelism are proposed for the recently introduced class of Binary Polynomial Transforms (BPT) including Walsh and conjunctive (Reed-Muller) transforms. A unique generic algorithm is proposed for the class of BPT. For each level of parallelism this algorithm is optimal for most of BPT with regard to speedup factor, including Walsh-Hadamard and conjunctive transforms. A family of processors realizing the proposed algorithms is also suggested. The processors can be implemented using a varying number of processor elements of unified architecture. They are universal, i.e. a class of binary polynomial transforms is effectively realized in the processor. Although the processors are universal, their area-time complexities are comparable with the complexities of known Hadamard processors. Processors from the proposed family can be included as blocks in construction of a signal/image processing system.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jaakko T. Astola, Sos S. Agaian, David Zaven Gevorkian, and Karen O. Egiazarian "Parallel algorithms for binary polynomial transforms and their realization with a unified series of processors", Proc. SPIE 2421, Image and Video Processing III, (23 March 1995); https://doi.org/10.1117/12.205485
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KEYWORDS
Transform theory

Binary data

Matrices

Signal processing

Evolutionary algorithms

Digital filtering

Multiplexers

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