Looking forward to your support to the above issue. I want to do implementation in matlab. Anyone with source codes and reference materials, please help me.
Generally the wavelet is used for two application, first for desired feature extraction from raw signal and second to reduce the noise to get improved SNR. It is possible by proper center frequency and shape factor of Morlet Wavelet. So you decide objective function based on desired features and optimize it by GA. By this you will get best bandwidth for your desired signal.
I was reading the paper uploaded by Muhammad Ali (Rolling element bearing fault diagnosis based on optimal morlet wavelet filter and autocorrelation function). When i tried to follow his steps on optimizing parameters using GA, I stacked on how to code the objective function. In the paper is written that, the objective function is Shannon-Entropy. I have failed to write this objective function correctly in MATLAB.
This is the article i was exactly trying to study the method used to optimize the parameters. It really contains a wealth of information. My problem lies on how to formulate the objective function. Yes, it is stated as the Shannon Entropy, but i have failed to correctly implement it in matlab. Can you support me on this section? Also, in the table one of the paper, the authors have specified two different lengths of binary codes. Any idea on this sir? I will also appreciate if you can share with me the reading books/ reference books to enhance my understanding on the subject matter.
Thanks for the shared article. I am now passing through it.