Title :
Fast fuzzy signal and image processing hardware
Author :
Kalaykov, Ivan ; Tolt, Gustav
Author_Institution :
Dept. of Technol., Univ. of Orebro, Sweden
Abstract :
The paper presents the development of fast fuzzy logic based hardware for various applications such as controllers for very fast processes, real-time image processing and pattern recognition. It is based on the fired-rules-hyper-cube (FRHC) concept, characterized by extremely simple way of the fuzzy inference in a layered parallel architecture. The processing time slightly depends on the number of inputs of the fuzzy system and does not depend on the number of rules and fuzzy partitioning of all variables. Most important is the inherent high speed of processing because of the parallelism and pipelining, implemented in all layers.
Keywords :
fuzzy logic; image processing; inference mechanisms; parallel architectures; pattern recognition; real-time systems; controllers; fast fuzzy image processing hardware; fast fuzzy logic based hardware; fast fuzzy signal processing hardware; fired-rules-hyper-cube concept; fuzzy inference; layered parallel architecture; parallelism; pattern recognition; pipelining; processing time; real-time image processing; Digital signal processing; Frequency; Fuzzy logic; Fuzzy sets; Hardware; Image processing; Inference algorithms; Parallel processing; Signal processing; Signal processing algorithms;
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
DOI :
10.1109/NAFIPS.2002.1018021
