Description of adaptive fuzzy filtering using the DSP TMS320C6713

This work analyses, implements and modifies the adaptive filter structure configured as predictor based in fuzzy logic and the LMS algorithm (least mean square). Using the concept of Fuzzy lineal Associative Memory (FAM) to represent a set of fuzzy rules IF-THEN; which works as inference mechanism to classify the input signal and select the best condition in order to obtain an adaptation of the filter parameters updating the filter response. The Adaptive Fuzzy filter (AFF) implementation is made in a Texas Instruments (TI) Digital signal Processor (DSP) DSK TMS320C6713. Finally, to plot and illustrate the results of this work we use the Mat Lab tool.