Admissibility condition for wavelets












3












$begingroup$


The admissibility condition for a wavelet $psi$ is:



$int frac{|hatpsi(x)|^2}{|x|} dx < infty$, with $hatpsi$ the Fourier transform of $psi$.



A necessary and sufficient condition should be:



$$int psi(x) dx = 0quad mathrm{(or} ;hatpsi(0) = 0mathrm{)}$$



But I can't see how you should get from one to the other...



Does someone have some suggestions?










share|cite|improve this question











$endgroup$

















    3












    $begingroup$


    The admissibility condition for a wavelet $psi$ is:



    $int frac{|hatpsi(x)|^2}{|x|} dx < infty$, with $hatpsi$ the Fourier transform of $psi$.



    A necessary and sufficient condition should be:



    $$int psi(x) dx = 0quad mathrm{(or} ;hatpsi(0) = 0mathrm{)}$$



    But I can't see how you should get from one to the other...



    Does someone have some suggestions?










    share|cite|improve this question











    $endgroup$















      3












      3








      3





      $begingroup$


      The admissibility condition for a wavelet $psi$ is:



      $int frac{|hatpsi(x)|^2}{|x|} dx < infty$, with $hatpsi$ the Fourier transform of $psi$.



      A necessary and sufficient condition should be:



      $$int psi(x) dx = 0quad mathrm{(or} ;hatpsi(0) = 0mathrm{)}$$



      But I can't see how you should get from one to the other...



      Does someone have some suggestions?










      share|cite|improve this question











      $endgroup$




      The admissibility condition for a wavelet $psi$ is:



      $int frac{|hatpsi(x)|^2}{|x|} dx < infty$, with $hatpsi$ the Fourier transform of $psi$.



      A necessary and sufficient condition should be:



      $$int psi(x) dx = 0quad mathrm{(or} ;hatpsi(0) = 0mathrm{)}$$



      But I can't see how you should get from one to the other...



      Does someone have some suggestions?







      numerical-methods wavelets fourier-transform






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Apr 30 '16 at 16:48









      Laurent Duval

      5,34311240




      5,34311240










      asked Apr 30 '16 at 16:04









      Robbe MotmansRobbe Motmans

      180212




      180212






















          1 Answer
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          1












          $begingroup$

          The admissibility condition (at least in the most common versions in 1D) can be stated as follows: function $phi$ is a synthesis (or reconstruction) wavelet for analysis wavelet $psi$ if the two constants:



          $$c^{pm}_{phi,psi} =
          2pi int_{0}^{+infty}tfrac{hat{overline{psi}}(pmomega)hatphi(pmomega)}{omega} domega
          $$

          are finite, non null and equal (see M. Holschneider, Wavelets, an analysis tool, 1995, p. 65 sq.).



          This can be satisfied by a lot of couples of functions. If you now want the synthesis wavelet to be the same as the analysis wavelet, ie $phi = psi$, then a necessary condition is that $$int psi = 0$$ to avoid the singularity at $0$. This is the root for using discrete orthogonal wavelets (otherwise, you have for instance biorthogonal wavelets, used in JPEG 2000 image compression). In other words, the wavelet has zero-mean, which is equivalent to say (when integrals exists) that its spectrum vanished at zero (on the frequency axis).



          But it is not sufficient in theory, and requires additional smoothed/boundedness/localization on $psi$. So my suggestion is to refer to accurate sources for sufficient conditions.






          share|cite|improve this answer











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            1












            $begingroup$

            The admissibility condition (at least in the most common versions in 1D) can be stated as follows: function $phi$ is a synthesis (or reconstruction) wavelet for analysis wavelet $psi$ if the two constants:



            $$c^{pm}_{phi,psi} =
            2pi int_{0}^{+infty}tfrac{hat{overline{psi}}(pmomega)hatphi(pmomega)}{omega} domega
            $$

            are finite, non null and equal (see M. Holschneider, Wavelets, an analysis tool, 1995, p. 65 sq.).



            This can be satisfied by a lot of couples of functions. If you now want the synthesis wavelet to be the same as the analysis wavelet, ie $phi = psi$, then a necessary condition is that $$int psi = 0$$ to avoid the singularity at $0$. This is the root for using discrete orthogonal wavelets (otherwise, you have for instance biorthogonal wavelets, used in JPEG 2000 image compression). In other words, the wavelet has zero-mean, which is equivalent to say (when integrals exists) that its spectrum vanished at zero (on the frequency axis).



            But it is not sufficient in theory, and requires additional smoothed/boundedness/localization on $psi$. So my suggestion is to refer to accurate sources for sufficient conditions.






            share|cite|improve this answer











            $endgroup$


















              1












              $begingroup$

              The admissibility condition (at least in the most common versions in 1D) can be stated as follows: function $phi$ is a synthesis (or reconstruction) wavelet for analysis wavelet $psi$ if the two constants:



              $$c^{pm}_{phi,psi} =
              2pi int_{0}^{+infty}tfrac{hat{overline{psi}}(pmomega)hatphi(pmomega)}{omega} domega
              $$

              are finite, non null and equal (see M. Holschneider, Wavelets, an analysis tool, 1995, p. 65 sq.).



              This can be satisfied by a lot of couples of functions. If you now want the synthesis wavelet to be the same as the analysis wavelet, ie $phi = psi$, then a necessary condition is that $$int psi = 0$$ to avoid the singularity at $0$. This is the root for using discrete orthogonal wavelets (otherwise, you have for instance biorthogonal wavelets, used in JPEG 2000 image compression). In other words, the wavelet has zero-mean, which is equivalent to say (when integrals exists) that its spectrum vanished at zero (on the frequency axis).



              But it is not sufficient in theory, and requires additional smoothed/boundedness/localization on $psi$. So my suggestion is to refer to accurate sources for sufficient conditions.






              share|cite|improve this answer











              $endgroup$
















                1












                1








                1





                $begingroup$

                The admissibility condition (at least in the most common versions in 1D) can be stated as follows: function $phi$ is a synthesis (or reconstruction) wavelet for analysis wavelet $psi$ if the two constants:



                $$c^{pm}_{phi,psi} =
                2pi int_{0}^{+infty}tfrac{hat{overline{psi}}(pmomega)hatphi(pmomega)}{omega} domega
                $$

                are finite, non null and equal (see M. Holschneider, Wavelets, an analysis tool, 1995, p. 65 sq.).



                This can be satisfied by a lot of couples of functions. If you now want the synthesis wavelet to be the same as the analysis wavelet, ie $phi = psi$, then a necessary condition is that $$int psi = 0$$ to avoid the singularity at $0$. This is the root for using discrete orthogonal wavelets (otherwise, you have for instance biorthogonal wavelets, used in JPEG 2000 image compression). In other words, the wavelet has zero-mean, which is equivalent to say (when integrals exists) that its spectrum vanished at zero (on the frequency axis).



                But it is not sufficient in theory, and requires additional smoothed/boundedness/localization on $psi$. So my suggestion is to refer to accurate sources for sufficient conditions.






                share|cite|improve this answer











                $endgroup$



                The admissibility condition (at least in the most common versions in 1D) can be stated as follows: function $phi$ is a synthesis (or reconstruction) wavelet for analysis wavelet $psi$ if the two constants:



                $$c^{pm}_{phi,psi} =
                2pi int_{0}^{+infty}tfrac{hat{overline{psi}}(pmomega)hatphi(pmomega)}{omega} domega
                $$

                are finite, non null and equal (see M. Holschneider, Wavelets, an analysis tool, 1995, p. 65 sq.).



                This can be satisfied by a lot of couples of functions. If you now want the synthesis wavelet to be the same as the analysis wavelet, ie $phi = psi$, then a necessary condition is that $$int psi = 0$$ to avoid the singularity at $0$. This is the root for using discrete orthogonal wavelets (otherwise, you have for instance biorthogonal wavelets, used in JPEG 2000 image compression). In other words, the wavelet has zero-mean, which is equivalent to say (when integrals exists) that its spectrum vanished at zero (on the frequency axis).



                But it is not sufficient in theory, and requires additional smoothed/boundedness/localization on $psi$. So my suggestion is to refer to accurate sources for sufficient conditions.







                share|cite|improve this answer














                share|cite|improve this answer



                share|cite|improve this answer








                edited Jan 11 at 21:43

























                answered Apr 30 '16 at 16:47









                Laurent DuvalLaurent Duval

                5,34311240




                5,34311240






























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