DTFT (Discrete Time Fourier Transform) duality property applied to cos / sin












0












$begingroup$


Normal DTFT table contains:



$$
cos(omega_0 n) xrightarrow{DTFT 2pi} pi delta[omega - omega_0] + pi delta[omega + omega_0]
$$



$$
sin(omega_0 n) xrightarrow{DTFT 2pi} i pi delta[omega - omega_0] - i pi delta[omega + omega_0]
$$



How would I apply "duality property" to obtain DTFT transform for:



$$
??? xrightarrow{DTFT 2pi} cos(omega_0 omega)
$$



$$
??? xrightarrow{DTFT 2pi} sin(omega_0 omega)
$$



??? = fill in the blanks.










share|cite|improve this question











$endgroup$

















    0












    $begingroup$


    Normal DTFT table contains:



    $$
    cos(omega_0 n) xrightarrow{DTFT 2pi} pi delta[omega - omega_0] + pi delta[omega + omega_0]
    $$



    $$
    sin(omega_0 n) xrightarrow{DTFT 2pi} i pi delta[omega - omega_0] - i pi delta[omega + omega_0]
    $$



    How would I apply "duality property" to obtain DTFT transform for:



    $$
    ??? xrightarrow{DTFT 2pi} cos(omega_0 omega)
    $$



    $$
    ??? xrightarrow{DTFT 2pi} sin(omega_0 omega)
    $$



    ??? = fill in the blanks.










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      Normal DTFT table contains:



      $$
      cos(omega_0 n) xrightarrow{DTFT 2pi} pi delta[omega - omega_0] + pi delta[omega + omega_0]
      $$



      $$
      sin(omega_0 n) xrightarrow{DTFT 2pi} i pi delta[omega - omega_0] - i pi delta[omega + omega_0]
      $$



      How would I apply "duality property" to obtain DTFT transform for:



      $$
      ??? xrightarrow{DTFT 2pi} cos(omega_0 omega)
      $$



      $$
      ??? xrightarrow{DTFT 2pi} sin(omega_0 omega)
      $$



      ??? = fill in the blanks.










      share|cite|improve this question











      $endgroup$




      Normal DTFT table contains:



      $$
      cos(omega_0 n) xrightarrow{DTFT 2pi} pi delta[omega - omega_0] + pi delta[omega + omega_0]
      $$



      $$
      sin(omega_0 n) xrightarrow{DTFT 2pi} i pi delta[omega - omega_0] - i pi delta[omega + omega_0]
      $$



      How would I apply "duality property" to obtain DTFT transform for:



      $$
      ??? xrightarrow{DTFT 2pi} cos(omega_0 omega)
      $$



      $$
      ??? xrightarrow{DTFT 2pi} sin(omega_0 omega)
      $$



      ??? = fill in the blanks.







      fourier-transform z-transform






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      share|cite|improve this question













      share|cite|improve this question




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      edited Jan 12 at 21:38









      user

      5,36211030




      5,36211030










      asked Jan 12 at 20:43









      MrCasualityMrCasuality

      82




      82






















          1 Answer
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          0












          $begingroup$

          The answer is that you don't need to use duality to derive DTFT of sin and cos in reverse. You just need to use these identities:



          $$
          cos(omega) = frac{1}{2} (e^{i omega}+e^{-i omega})
          $$



          $$
          sin(omega) = frac{1}{2i} (e^{i omega}-e^{-i omega})
          $$



          Then the following DTFT Transforms:



          $$
          delta[n-d] xrightarrow{DTFT} e^{-i omega d}
          $$






          share|cite|improve this answer









          $endgroup$













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            1 Answer
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            active

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            0












            $begingroup$

            The answer is that you don't need to use duality to derive DTFT of sin and cos in reverse. You just need to use these identities:



            $$
            cos(omega) = frac{1}{2} (e^{i omega}+e^{-i omega})
            $$



            $$
            sin(omega) = frac{1}{2i} (e^{i omega}-e^{-i omega})
            $$



            Then the following DTFT Transforms:



            $$
            delta[n-d] xrightarrow{DTFT} e^{-i omega d}
            $$






            share|cite|improve this answer









            $endgroup$


















              0












              $begingroup$

              The answer is that you don't need to use duality to derive DTFT of sin and cos in reverse. You just need to use these identities:



              $$
              cos(omega) = frac{1}{2} (e^{i omega}+e^{-i omega})
              $$



              $$
              sin(omega) = frac{1}{2i} (e^{i omega}-e^{-i omega})
              $$



              Then the following DTFT Transforms:



              $$
              delta[n-d] xrightarrow{DTFT} e^{-i omega d}
              $$






              share|cite|improve this answer









              $endgroup$
















                0












                0








                0





                $begingroup$

                The answer is that you don't need to use duality to derive DTFT of sin and cos in reverse. You just need to use these identities:



                $$
                cos(omega) = frac{1}{2} (e^{i omega}+e^{-i omega})
                $$



                $$
                sin(omega) = frac{1}{2i} (e^{i omega}-e^{-i omega})
                $$



                Then the following DTFT Transforms:



                $$
                delta[n-d] xrightarrow{DTFT} e^{-i omega d}
                $$






                share|cite|improve this answer









                $endgroup$



                The answer is that you don't need to use duality to derive DTFT of sin and cos in reverse. You just need to use these identities:



                $$
                cos(omega) = frac{1}{2} (e^{i omega}+e^{-i omega})
                $$



                $$
                sin(omega) = frac{1}{2i} (e^{i omega}-e^{-i omega})
                $$



                Then the following DTFT Transforms:



                $$
                delta[n-d] xrightarrow{DTFT} e^{-i omega d}
                $$







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Jan 12 at 21:16









                MrCasualityMrCasuality

                82




                82






























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