FIR filter Design using Windowing approach.

In this experiment we were asked to design a linear or non-linear FIR filter using a very popular method of window function.The magnitude response was calculated accordingly checking whether the filter was high pass or low pass.For linear phase ,ofcourse,the phase was also calculated and the by using the theoretical formula.Further,IDFT was used for the obtaining hd(n).It was later multiplied by the window function for the final answer.Thus FIR filter was designed by truncating infinite samples of hd(n) using the window function.Note that the formula for window function was different for each one of them and depending upon the value of As we had to choose the best one to fit our needs.

Comments

  1. Unknown25 April 2017 at 21:53

    Very simple for filter design

    ReplyDelete
  2. chaitali vartak25 April 2017 at 22:13

    Nice concept!

    ReplyDelete
  3. chaitali vartak25 April 2017 at 22:13

    Nice concept!

    ReplyDelete
  4. Unknown25 April 2017 at 22:18

    FSM is better than window function for this filter design.

    ReplyDelete
    Replies
    1. shrinish_00128 April 2017 at 05:02

      Yes it is easier and it does require the output to be known.

      Delete
  5. Unknown25 April 2017 at 22:46

    Width of the main lobe is an important factor and hamming window has less error

    ReplyDelete
  6. Amol28 April 2017 at 05:02

    Blackmann window is the best since it is used when the stop band attenuation is highest

    ReplyDelete
  7. Unknown28 April 2017 at 06:01

    Selection of appropriate window is the key step

    ReplyDelete
  8. Unknown28 April 2017 at 06:06

    Windowing method gives a variety of window functions. So we can choose the appropriate window function according to our requirement of filter design.

    ReplyDelete
  9. Unknown28 April 2017 at 07:23

    Rectangular Window is not preferred as it has low Stop band attenuation.

    ReplyDelete

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