FIR filter design using the FSM approach.

In this the flow of the parameter calculation was kept the same as was for the window function.Nevertheless ,an added parameter called H(k) was calculated which o
is the notation for DFT result.The length of this result was obtained from the Order of the filter which was given.Further omega was taken to be (2πk/N) where N was the order.One other ,slightly difficult task was plotting the realisation diagram.Ofcourse we didn't do this but the function was separated in its cascaded form for getting h(n) by sampling.The frequency sampling approach allows is to design the filter for both -std.frequency responses and arbitrary responses.Its applications include biomedical signal processing, compression etc.
The main idea of the frequency sampling design method is that a desired frequency response can be approximated by sampling it of N evenly spaced points and then obtaining an interpolated frequency response that passes through the frequency sample.

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