Finite Impulse Response(FIR) Filters are always stable and are therefore preferred for design of filters. one of the methods for design of FIR filters is using Window Function. In this method, we begin with the desired frequency response specification Hd (W) and determine the corresponding unit sample response hd(n). The hd(n) is infinite in duration and must be truncated at some point to yeild an FIR filter of length M.
In this experiment, we have designed an FIR filter using Hanning Window Function. This window function has significantly lower sidelobes as compared with the rectangular window. The phase plot observed was linear and the output was a delayed version of the input preventing distortion.
https://drive.google.com/drive/folders/0B9Ily3Urp8vgalRlVWhZb2lpUmc
In this experiment, we have designed an FIR filter using Hanning Window Function. This window function has significantly lower sidelobes as compared with the rectangular window. The phase plot observed was linear and the output was a delayed version of the input preventing distortion.
https://drive.google.com/drive/folders/0B9Ily3Urp8vgalRlVWhZb2lpUmc
good..well written
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ReplyDeleteyou can also use blackman window for computation ,as its C factor is high
DeleteWell done....explained in easy language👍
ReplyDeletewell Explained...
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