In this experiment, we were required to design a digital FIR filter using Frequency Sampling Method (FSM). The code was written in SCILAB. In this method, desired frequency response is sampled and the samples obtained are taken as DFT coefficients, and then h(n) is calculated using Inverse DFT. The input parameters, just like the previous two experiments, were taken and the magnitude response was plotted. Both LPF and HPF were computed using Scilab. We observed that order of FIR filter was greater than IIR filter for the same input parameters
Discontinuity is observed in phase plot between lobes and also when the phase spectrum goes out of the range of -pi to pi.
ReplyDeleteYes
DeleteEasy method for filter designing
ReplyDeleteWindowing method is also there
Deleteonly limited information about the filter is required as an input.
ReplyDeleteThat's true
DeleteDFT and FFT are good transforms
ReplyDeleteAnd mostly used
DeleteThis approach is used when the frequency response is known
ReplyDeleteValues observed to be close to the input parameters
ReplyDeleteValues was close to input parameters
ReplyDeleteNearly closed
DeleteYeah
ReplyDelete