Title :
Design and implementation of stack filter based on immune memory clonal algorithms with hybrid computation
Author :
Shi, Guangming ; Dong, Weisheng ; Liu, Zhe
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an
Abstract :
Stack filters are a class of nonlinear filters for removing noise that is uncorrelated with signal. Their design is formulated as a high nonlinear optimization problem. An improved immune memory clonal selection algorithm (IMCSA) is suitable for designing stack filters. But as many algorithms for designing stack filters have to face that evaluation of each candidate solution is still takes the most computation complexity. By representing the positive Boolean functions (PBF) in objective function, a hybrid computation approach (software and hardware) for the calculation tasks has been proposed. Compared with available methods, the proposed method can improve the efficiencies of design stack filters and the design time is significantly reduced. The procedure of design and implementation for stack filters can be reached at the same time by the method
Keywords :
Boolean functions; nonlinear filters; optimisation; stack filters; hybrid computation; immune memory clonal algorithm; nonlinear filters; nonlinear optimization problem; objective function; positive Boolean function; stack filters; Algorithm design and analysis; Boolean functions; Computational complexity; Design optimization; Field programmable gate arrays; Filtering; Filters; Hardware; Image edge detection; Stacking;
Conference_Titel :
Circuits and Systems, 2005. 48th Midwest Symposium on
Conference_Location :
Covington, KY
Print_ISBN :
0-7803-9197-7
DOI :
10.1109/MWSCAS.2005.1594312