Title
Parallel hardware-software architecture for computation of Discrete Wavelet Transform using the Recursive Merge Filtering algorithm
Keywords
Computer Science, Theory & Methods
Abstract
We present an FPGA-based parallel hardware-software architecture for the computation of the Discrete Wavelet Transform (DWT), using the Recursive Merge Filtering (RMF) algorithm. The DWT is built in a bottom-up fashion in logN steps, successively building complete DWTs by "merging" two smaller DWTs and applying the wavelet filter to only the "smooth" or DC coefficient from the smaller DWTs. The main bottleneck of this algorithm is the data routing process, which can be reduced by separating the computations into two types to introduce parallelism. This is achieved by using a virtual mapping structure to map the input. The data routing bottleneck has been transformed into simple arithmetic computations on the mapping structure. Due to the use of the FPGA-RAM for the mapping structure, the total number of data accesses to the main memory are reduced. This architecture shows how data routing in this problem can be transformed into a series of index computations.
Journal Title
Parallel and Distributed Processing, Proceedings
Volume
1800
Publication Date
1-1-2000
Document Type
Article
Language
English
First Page
250
Last Page
256
WOS Identifier
ISSN
0302-9743; 3-540-67442-X
Recommended Citation
"Parallel hardware-software architecture for computation of Discrete Wavelet Transform using the Recursive Merge Filtering algorithm" (2000). Faculty Bibliography 2000s. 2624.
https://stars.library.ucf.edu/facultybib2000/2624