Monday, 24 April 2017

Design of FIR filter using window method


The aim of the experiment was to design Linear Phase FIR filter using window function. In this experiment we used Hamming window function to design Low pass/high pass fiter. We plotted magnitude as well as phase response.
In this experiment the value of As and Ap are verified. As we go on increasing As depending on the filter the side lobe width decreases & main lobe width increases.

19 comments:

  1. content mentioned is very useful

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  2. Hamming window has least error

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    Replies
    1. That depends on your application requirements

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  3. FIR implementation is basically trying to perform convolution of the input samples with the stored samples of the sinc (filter taps) function.

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  4. selection of window based upon application is one of the important thing to do

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    Replies
    1. Yes that defines the order of your filter

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  5. Hamming window has least errors

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  6. Replies
    1. The input parameters are:
      1. Stopband attenuation
      2. Passband attenuation
      3. Stopband frequency
      4. Passband frequency
      5. Sampling frequency

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  7. As it selects the window automatically it is efficient

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  8. Window selection is a nice feature. However,the order should be less to reduce number of side lobes.

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  9. Rectangular Windowing should not be used as it has minimum stop band attenuation.

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    Replies
    1. Yes, but window selection depends on your application mainly

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  10. Various window functions are:
    Rectangular
    Hamming
    Hanning
    Blackman
    Bartlett
    Kaiser

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