Abstract
This article describes a mixed constrained image filter design with fault tolerance using particle swarm optimization (PSO) on a reconfigurable processing array. There may be some faulty configurable logic blocks (CLBs) in a reconfigurable processing array. The proposed method with PSO autonomously synthesizes a filter fitted to the reconfigurable device with some faults in order to optimize the complexity and power of the circuit, and the signal delay in both the CLBs and the wires. An image filter for noise reduction is experimentally synthesized to verify the validity of our method. By evolution, the quality of the optimized image filter on a reconfigurable device with a few faults is almost same as that on a device with no faults.
Original language | English |
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Pages (from-to) | 333-337 |
Number of pages | 5 |
Journal | Artificial Life and Robotics |
Volume | 16 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2011 Dec 1 |
Keywords
- Fault tolerant
- Mixed constrained image filter design
- Particle swarm optimization
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Artificial Intelligence