Linear Phase FIR filter design using Windowing method

Linear Phase FIR filter design was performed on SciLab for designing both, LPF and HPF. Values of As, Ap, analog passband and stopband frequencies were taken as input from the user. Depending on the value of As chosen, the window function was decided. The window function and the frequency values decided the order of the filter. This way the FIR filter was designed to give h(n) at the output, by using the appropriate window function.

Comments

  1. Unknown25 April 2017 at 22:21

    Which window method has the least error?

    ReplyDelete
    Replies
    1. Neha28 April 2017 at 05:22

      Window is selected on the basis of attenuation and order required and not on the amount of error

      Delete
  2. Ankur Mahadik25 April 2017 at 22:28

    which is best windowing method?

    ReplyDelete
    Replies
    1. Unknown25 April 2017 at 22:54

      It depends on the application as it is important to know the value of As.

      Delete
    2. Neha28 April 2017 at 05:23

      If you want higher attenuation, then you require blackman window and for lesser attenuation, you require rectangular window

      Delete
  3. $oM€$h25 April 2017 at 22:28

    How was window function decided?

    ReplyDelete
    Replies
    1. Neha28 April 2017 at 05:24

      It was decided on the value of As given at the input by the user

      Delete
  4. Unknown25 April 2017 at 22:33

    what have you understood by studying this?

    ReplyDelete
    Replies
    1. Neha28 April 2017 at 05:28

      Window method is used to truncate larger length impulse response to bring the range of frequencies from infinite range to a finite range

      Delete
  5. Unknown25 April 2017 at 22:42

    For practical applications FIR filters with less number of side lobes should be preferred.

    ReplyDelete
    Replies
    1. Neha28 April 2017 at 05:28

      Yes, energy should be concentrated in the main lobe.

      Delete
  6. Unknown25 April 2017 at 22:43

    Hamming window has least error

    ReplyDelete
  7. Unknown25 April 2017 at 22:52

    well explained

    ReplyDelete
  8. Unknown25 April 2017 at 23:04

    conceptually good

    ReplyDelete
  9. Unknown28 April 2017 at 05:32

    short and precious in content

    ReplyDelete

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