How to quickly resolve a value from noise around a signal?












0












$begingroup$


Kalman filter seems to be slow in resolving a steady signal.



Is there a way to apply Ito calculus (stochastic calculus) to resolve the signal quicker?





The data takes a minute or longer to converge using a Kalman filter at 1hz sampling.










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$endgroup$








  • 2




    $begingroup$
    Do you have a picture or some characterization of your data?
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:25










  • $begingroup$
    added a description
    $endgroup$
    – jdl
    Dec 19 '18 at 22:28






  • 2




    $begingroup$
    Where? I see no description. A graph would be an excellent thing to add. Also, any context about sampling rate, physical units, etc.
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:30
















0












$begingroup$


Kalman filter seems to be slow in resolving a steady signal.



Is there a way to apply Ito calculus (stochastic calculus) to resolve the signal quicker?





The data takes a minute or longer to converge using a Kalman filter at 1hz sampling.










share|cite|improve this question











$endgroup$








  • 2




    $begingroup$
    Do you have a picture or some characterization of your data?
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:25










  • $begingroup$
    added a description
    $endgroup$
    – jdl
    Dec 19 '18 at 22:28






  • 2




    $begingroup$
    Where? I see no description. A graph would be an excellent thing to add. Also, any context about sampling rate, physical units, etc.
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:30














0












0








0





$begingroup$


Kalman filter seems to be slow in resolving a steady signal.



Is there a way to apply Ito calculus (stochastic calculus) to resolve the signal quicker?





The data takes a minute or longer to converge using a Kalman filter at 1hz sampling.










share|cite|improve this question











$endgroup$




Kalman filter seems to be slow in resolving a steady signal.



Is there a way to apply Ito calculus (stochastic calculus) to resolve the signal quicker?





The data takes a minute or longer to converge using a Kalman filter at 1hz sampling.







stochastic-calculus data-analysis kalman-filter






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 19 '18 at 23:04







jdl

















asked Dec 19 '18 at 22:21









jdljdl

1205




1205








  • 2




    $begingroup$
    Do you have a picture or some characterization of your data?
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:25










  • $begingroup$
    added a description
    $endgroup$
    – jdl
    Dec 19 '18 at 22:28






  • 2




    $begingroup$
    Where? I see no description. A graph would be an excellent thing to add. Also, any context about sampling rate, physical units, etc.
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:30














  • 2




    $begingroup$
    Do you have a picture or some characterization of your data?
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:25










  • $begingroup$
    added a description
    $endgroup$
    – jdl
    Dec 19 '18 at 22:28






  • 2




    $begingroup$
    Where? I see no description. A graph would be an excellent thing to add. Also, any context about sampling rate, physical units, etc.
    $endgroup$
    – Adrian Keister
    Dec 19 '18 at 22:30








2




2




$begingroup$
Do you have a picture or some characterization of your data?
$endgroup$
– Adrian Keister
Dec 19 '18 at 22:25




$begingroup$
Do you have a picture or some characterization of your data?
$endgroup$
– Adrian Keister
Dec 19 '18 at 22:25












$begingroup$
added a description
$endgroup$
– jdl
Dec 19 '18 at 22:28




$begingroup$
added a description
$endgroup$
– jdl
Dec 19 '18 at 22:28




2




2




$begingroup$
Where? I see no description. A graph would be an excellent thing to add. Also, any context about sampling rate, physical units, etc.
$endgroup$
– Adrian Keister
Dec 19 '18 at 22:30




$begingroup$
Where? I see no description. A graph would be an excellent thing to add. Also, any context about sampling rate, physical units, etc.
$endgroup$
– Adrian Keister
Dec 19 '18 at 22:30










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