Comparison of Haar and Daubechies wavelet based denoising for speed control of DC motor
Abhas Kanungo, Monika Mittal, Lillie Dewan · 2020
This paper presents the comparison between Haar and Daubechies wavelet based denoising for the application of speed control of DC motor in the presence of noise. The multiresolution property of wavelet is utilized to compensate for the effect of noise in the system. In addition, the performance of associated controller is improved in the presence of uncertainty. It has been observed that similarity of the wavelet's wave shape to the signal being denoised has a direct bearing on its denoising performance. Simulation results are obtained with the help of MATLAB@2015a.