How to sample a transfer function (angular spectrum) in the frequency domain?





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I am having this problem in Fourier optics, where I am using the Angular spectrum method (a lti filter) to calculate the electric field at the required plane given the distance p and the electric field of another parallel plane.



Essentially I have to implement the following equation for light propagation given in the continuous time domain as a convolution.


i_required(x,y) = i_given(x,y)*hp(x,y)


Now, my doubt is when computing this using discrete Fourier transforms.



Note the Angular spectrum function is defined only in frequency domain Hp(fx,fy). For ease of explanation sampling of i_given(x, y) is done at 1 unit in each dimension.

The steps I am doing:




  1. Take DFT2 (Discrete fourier transform along rows and columns) of
    given samples of i_given(x, y) and let it be I(u, v) for u,v = 1:N

  2. Sample the frequency domain of the transfer function Hp(fx, fy)
    at fx = u/N,fy = v/N

  3. Multiply H(u,v)I(u,v)) and take the IDFT2


What is the consequence of sampling in frequency domain (Step 2)?

Will this cause aliasing in time-domain? Ways to mitigate effects if any?










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    I am having this problem in Fourier optics, where I am using the Angular spectrum method (a lti filter) to calculate the electric field at the required plane given the distance p and the electric field of another parallel plane.



    Essentially I have to implement the following equation for light propagation given in the continuous time domain as a convolution.


    i_required(x,y) = i_given(x,y)*hp(x,y)


    Now, my doubt is when computing this using discrete Fourier transforms.



    Note the Angular spectrum function is defined only in frequency domain Hp(fx,fy). For ease of explanation sampling of i_given(x, y) is done at 1 unit in each dimension.

    The steps I am doing:




    1. Take DFT2 (Discrete fourier transform along rows and columns) of
      given samples of i_given(x, y) and let it be I(u, v) for u,v = 1:N

    2. Sample the frequency domain of the transfer function Hp(fx, fy)
      at fx = u/N,fy = v/N

    3. Multiply H(u,v)I(u,v)) and take the IDFT2


    What is the consequence of sampling in frequency domain (Step 2)?

    Will this cause aliasing in time-domain? Ways to mitigate effects if any?










    share|improve this question



























      0












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      0








      I am having this problem in Fourier optics, where I am using the Angular spectrum method (a lti filter) to calculate the electric field at the required plane given the distance p and the electric field of another parallel plane.



      Essentially I have to implement the following equation for light propagation given in the continuous time domain as a convolution.


      i_required(x,y) = i_given(x,y)*hp(x,y)


      Now, my doubt is when computing this using discrete Fourier transforms.



      Note the Angular spectrum function is defined only in frequency domain Hp(fx,fy). For ease of explanation sampling of i_given(x, y) is done at 1 unit in each dimension.

      The steps I am doing:




      1. Take DFT2 (Discrete fourier transform along rows and columns) of
        given samples of i_given(x, y) and let it be I(u, v) for u,v = 1:N

      2. Sample the frequency domain of the transfer function Hp(fx, fy)
        at fx = u/N,fy = v/N

      3. Multiply H(u,v)I(u,v)) and take the IDFT2


      What is the consequence of sampling in frequency domain (Step 2)?

      Will this cause aliasing in time-domain? Ways to mitigate effects if any?










      share|improve this question
















      I am having this problem in Fourier optics, where I am using the Angular spectrum method (a lti filter) to calculate the electric field at the required plane given the distance p and the electric field of another parallel plane.



      Essentially I have to implement the following equation for light propagation given in the continuous time domain as a convolution.


      i_required(x,y) = i_given(x,y)*hp(x,y)


      Now, my doubt is when computing this using discrete Fourier transforms.



      Note the Angular spectrum function is defined only in frequency domain Hp(fx,fy). For ease of explanation sampling of i_given(x, y) is done at 1 unit in each dimension.

      The steps I am doing:




      1. Take DFT2 (Discrete fourier transform along rows and columns) of
        given samples of i_given(x, y) and let it be I(u, v) for u,v = 1:N

      2. Sample the frequency domain of the transfer function Hp(fx, fy)
        at fx = u/N,fy = v/N

      3. Multiply H(u,v)I(u,v)) and take the IDFT2


      What is the consequence of sampling in frequency domain (Step 2)?

      Will this cause aliasing in time-domain? Ways to mitigate effects if any?







      fft sampling dft time-frequency






      share|improve this question















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      edited Nov 26 '18 at 19:52







      024oloy96

















      asked Nov 26 '18 at 19:20









      024oloy96024oloy96

      11




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