Answers.Body: <p>I think your best bet may bet may be to use PG to build an echosounder detector, and then use R/Matlab to remove the timeframes that the echosounder exists in.  This will cut out a bit of the time you're taking to remove them manually. Then, you can process your WM detector with the filtered data.  It isn't elegant. However, outside of creating a bandstop filter at your echosounder frequency range (which may remove whistles and moans), I'm not sure if you can do everything you need to do in one run.</p>
  
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Answers.Text: I would call the suggested method (echosounder detector) as the most elegant method, as it does not manipulate the data. If one starts selective filtering then lot of uncertainties can arise
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Body: <p>I have underwater acoustic recordings and am interested in marking out dolphin whistles. I am currently having to manually remove an echosounder (which has a bit of a sweep to it), as I do not want my detector to log this as a dolphin whistle.</p>
  <ul>
  <li>Is there a way to do this in <a href="https://www.pamguard.org/" rel="noreferrer">PAMGuard</a>?</li>
  <li>Am I able to build an
  automated whistle detector for the echosounder signal itself? If so, how?</li>
  <li>How do I ensure that this makes it so the echosounder pings
  are not labelled as being both a dolphin whistle and an echosounder?</li>
  </ul>
  <p>This question is related to this previously asked question (<a href="https://bioacoustics.stackexchange.com/questions/236/how-do-i-detect-50khz-echsounder-in-pamguard">How do I detect 50kHz echsounder in PAMGuard</a>), but in this case, a pesky echosounder is setting off my <strong>automated whistle detector</strong> in PAMGuard (rather than a click detector, as was the case of the previous question).</p>
  <p>Thanks!</p>
  
Tags: <analysis><pamguard><whistles><echosounder><detection>
Title: Echosounder setting off automated whistle detector in PAMGuard - Help!
ThreadText: # Echosounder setting off automated whistle detector in PAMGuard - Help!
  
  (Asked by: username_0 on 2022-08-04)
  
  I have underwater acoustic recordings and am interested in marking out dolphin whistles. I am currently having to manually remove an echosounder (which has a bit of a sweep to it), as I do not want my detector to log this as a dolphin whistle.
  
  * Is there a way to do this in [PAMGuard](https://www.pamguard.org/)?
  * Am I able to build an
    automated whistle detector for the echosounder signal itself? If so, how?
  * How do I ensure that this makes it so the echosounder pings
    are not labelled as being both a dolphin whistle and an echosounder?
  
  This question is related to this previously asked question ([How do I detect 50kHz echsounder in PAMGuard](https://bioacoustics.stackexchange.com/questions/236/how-do-i-detect-50khz-echsounder-in-pamguard)), but in this case, a pesky echosounder is setting off my **automated whistle detector** in PAMGuard (rather than a click detector, as was the case of the previous question).
  
  Thanks!
  
  **Tags:** analysis, pamguard, whistles, echosounder, detection
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2022-08-05. Score: 4
  
  I think your best bet may bet may be to use PG to build an echosounder detector, and then use R/Matlab to remove the timeframes that the echosounder exists in. This will cut out a bit of the time you're taking to remove them manually. Then, you can process your WM detector with the filtered data. It isn't elegant. However, outside of creating a bandstop filter at your echosounder frequency range (which may remove whistles and moans), I'm not sure if you can do everything you need to do in one run.
  
  > **Comments:**
  > **username_2**: I would call the suggested method (echosounder detector) as the most elegant method, as it does not manipulate the data. If one starts selective filtering then lot of uncertainties can arise  
  
  ---
  
  