This is another way to design linear phase FIR filters. The method to find desired frequency response is identical to that of windowing method. After getting the desired frequency response, it is sampled in frequency domain. After this, its inverse is calculated which gives the filter response. In lab, Scilab was used to get filter response. Formulae for DFT and IDFT were used in the code and on putting the filter parameters as input, the filter response was plotted.
Nice! The best part of this method is its the simplest of all methods.
ReplyDeleteBut this method can have some disadvantages like aliasing
DeleteHowever, it may undergo time aliasing if under-sampled
ReplyDeleteYes! One must see to it that Nyquist criterion is followed.
Deleteshort and absolutely apt!
ReplyDeleteFSM is the most simplest and direct technique.
ReplyDeleteH(w)-->H(k)-->h(n) So yes , it is a direct technique.
DeleteFSM is a quiet simple
ReplyDeleteOne of the most easiest techniques
ReplyDeleteEasier to implement
ReplyDelete