Comparison of adaptive filters for wavelet generation

The adaptive filter algorithms can be used to find out the filter bank coefficients of standard wavelets. Here the algorithms like LMS, NLMS and RLS are used to find out the coefficients of dB2, dB3 and Coiflet1 wavelets. The LMS and NLMS algorithms are modified to form VSSLMS, NVSSLMS and time varying NLMS algorithms and their performances are also analysed. Best results are obtained with NLMS algorithm. Using the coefficients obtained, the scaling and the wavelet functions are regenerated. Thus it is proved that these algorithms can be used to find out the filter bank coefficients of the signal of our interest.