This method is another way of designing linear phase FIR filters. The process of obtaining the desired frequency response is same. The difference starts from then on. The desired frequency response is sampled in the frequency domain and then its inverse is calculated, which gives the filter response. For practical design, we again used Scilab. The formulae for DFT and IDFT were incorporated into the code and the filter parameters were taken as user input. Plot function helped us verify the accurateness of the designed filter.
Use of Scilab has made the understanding very easy
ReplyDeleteWe use this method to design specific narrowband filters
ReplyDeleteYes
DeleteFIR filters are stable as compared with IIR filters.
ReplyDeleteYes because of the poles at origin
DeleteThe frequency sampling realization of filter is computationally more efficient than the direct form realization
ReplyDeleteYeah. And it also uses less number of blocks
DeleteFIR filters are stable because their ROC includes unit circle
ReplyDeleteAwesome👍
ReplyDeleteThanks
DeleteFantastic
ReplyDeleteThis method is used where the frequency response is already known.
ReplyDeleteRight
DeleteIt is the simplest and direct technique for FIR filter Design
ReplyDeleteTrue
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