Digital FIR Filter Design using Windowing Method

A linear phase finite impulse response(FIR) filter was designed using Scilab. Filters like stop band and pass band attenuation and stop band and pass band frequency are taken as input from the user.There are different window functions that can be used like Hamming Window, Bartlet Window, Hanning Window, Blackman Window,etc. The window function used in this experiment is Hanning window.the formula is input in the Scilab code and then the program is executed.

Comments

  1. shrinish_001April 26, 2017 at 8:04 AM

    The window function is selected based upon the value of the passband attenuation.

    ReplyDelete
    Replies
    1. Chaitanya SApril 29, 2017 at 6:21 AM

      Rectangular window has lowest attenuation and blackman has highest attenuation

      Delete
  2. UnknownApril 26, 2017 at 12:04 PM

    Good explanation

    ReplyDelete
  3. AmolApril 26, 2017 at 7:20 PM

    As we go from rectangular window function to hanning window, we get smoother response which reduces Gibbs phenomenon.

    ReplyDelete
  4. NehaApril 26, 2017 at 9:15 PM

    Blackman window has maximum attenuation

    ReplyDelete
  5. UnknownApril 27, 2017 at 2:00 AM

    Amazing explanation.

    ReplyDelete
  6. UnknownApril 28, 2017 at 10:48 AM

    More memory required for the storage
    of coefficients of FIR filter

    ReplyDelete
  7. UnknownApril 28, 2017 at 12:04 PM

    Blackman window is the best for designing higher order precise filters due to its high value of As.

    ReplyDelete
  8. $oM€$hApril 29, 2017 at 3:05 AM

    It is preferred for wideband signals

    ReplyDelete
  9. UnknownApril 29, 2017 at 3:45 AM

    Windowing function decides shape of the output signal.

    ReplyDelete
    Replies
    1. Chaitanya SApril 29, 2017 at 6:17 AM

      Yes. An example is rectangular window is a sinc function

      Delete
  10. Chaitanya SApril 29, 2017 at 6:24 AM

    Transition width should be small, so order will be small and cost will reduce

    ReplyDelete

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