Custom coprocessor based matrix algorithms for image and signal processing

A. Amira, Ahmed Bouridane, Peter Milligan, F. Bensaali

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Matrix algorithms are important in many types of applications including image and signal processing. A close examination of the algorithms used in these, and related, applications reveals that many of the fundamental actions involve matrix algorithms such as matrix multiplication. This paper presents an investigation into the design and implementation of different matrix algorithms such as matrix operations, matrix transforms and matrix decompositions using a novel custom coprocessor system for MATrix algorithms based on Reconfigurable Computing (RCMAT). The proposed RCMAT architectures are scalable, modular and require less area and time complexity with reduced latency when compared with existing structures.
Original languageEnglish
Pages (from-to)730-739
Number of pages10
Publication statusPublished - 2002

Fingerprint Dive into the research topics of 'Custom coprocessor based matrix algorithms for image and signal processing'. Together they form a unique fingerprint.

Cite this