Amplitude of derivatives approximated by continuous wavelet transform











up vote
0
down vote

favorite












I do have a question regarding the meaning of the amplitude of an approximated derivative derived from a continuous wavelet transform. From what is known, applying the CWT (Haar wavelet) to a signal results in an approximation of the first derivative. Applying it several times result in higher order derivatives.



Since the amplitude of the resulting derivative is altered by the scale factor, the real amplitude of the derivative is not known.



My goal is to calculate the highest value of a noisy signal's first derivative. However, the noise is hurting a lot. I found the Savitzky Golay algorithm that should work out for me.



However, I was wondering if there is any way to get the real amplitude of a derivative derived from a CWT.



Ideas are welcome? Thanks










share|cite|improve this question




























    up vote
    0
    down vote

    favorite












    I do have a question regarding the meaning of the amplitude of an approximated derivative derived from a continuous wavelet transform. From what is known, applying the CWT (Haar wavelet) to a signal results in an approximation of the first derivative. Applying it several times result in higher order derivatives.



    Since the amplitude of the resulting derivative is altered by the scale factor, the real amplitude of the derivative is not known.



    My goal is to calculate the highest value of a noisy signal's first derivative. However, the noise is hurting a lot. I found the Savitzky Golay algorithm that should work out for me.



    However, I was wondering if there is any way to get the real amplitude of a derivative derived from a CWT.



    Ideas are welcome? Thanks










    share|cite|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I do have a question regarding the meaning of the amplitude of an approximated derivative derived from a continuous wavelet transform. From what is known, applying the CWT (Haar wavelet) to a signal results in an approximation of the first derivative. Applying it several times result in higher order derivatives.



      Since the amplitude of the resulting derivative is altered by the scale factor, the real amplitude of the derivative is not known.



      My goal is to calculate the highest value of a noisy signal's first derivative. However, the noise is hurting a lot. I found the Savitzky Golay algorithm that should work out for me.



      However, I was wondering if there is any way to get the real amplitude of a derivative derived from a CWT.



      Ideas are welcome? Thanks










      share|cite|improve this question















      I do have a question regarding the meaning of the amplitude of an approximated derivative derived from a continuous wavelet transform. From what is known, applying the CWT (Haar wavelet) to a signal results in an approximation of the first derivative. Applying it several times result in higher order derivatives.



      Since the amplitude of the resulting derivative is altered by the scale factor, the real amplitude of the derivative is not known.



      My goal is to calculate the highest value of a noisy signal's first derivative. However, the noise is hurting a lot. I found the Savitzky Golay algorithm that should work out for me.



      However, I was wondering if there is any way to get the real amplitude of a derivative derived from a CWT.



      Ideas are welcome? Thanks







      signal-processing wavelets






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited 15 hours ago









      Henno Brandsma

      100k344107




      100k344107










      asked Nov 6 at 10:32









      user2799180

      1085




      1085



























          active

          oldest

          votes











          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "69"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














           

          draft saved


          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2986993%2famplitude-of-derivatives-approximated-by-continuous-wavelet-transform%23new-answer', 'question_page');
          }
          );

          Post as a guest





































          active

          oldest

          votes













          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















           

          draft saved


          draft discarded



















































           


          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f2986993%2famplitude-of-derivatives-approximated-by-continuous-wavelet-transform%23new-answer', 'question_page');
          }
          );

          Post as a guest




















































































          Popular posts from this blog

          How do I know what Microsoft account the skydrive app is syncing to?

          When does type information flow backwards in C++?

          Grease: Live!