TY - GEN
T1 - Description of adaptive fuzzy filtering using the DSP TMS320C6713
AU - Vázquez, Burgos L.S.
AU - García, Infante J.C.
AU - Sánchez, García J.C.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77950642900&partnerID=8YFLogxK
U2 - 10.1109/MWSCAS.2009.5235957
DO - 10.1109/MWSCAS.2009.5235957
M3 - Contribución a la conferencia
AN - SCOPUS:77950642900
SN - 9781424444793
T3 - Midwest Symposium on Circuits and Systems
SP - 1086
EP - 1090
BT - 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
T2 - 2009 52nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS '09
Y2 - 2 August 2009 through 5 August 2009
ER -