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Hasan
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The cross correlation idea may work well, but you will have to perform it with varying levels of stretching.

The cross correlation will be computed using a 2D window of length L and height H representing the activity. Choose a moderate length L that resembles the expected length of the activity. Assume that in the 'white regions' the function value is a constant that is different from the values representing the activity filled regions. This way your 2D window can have up to 4 different function values representing the r,g,b, and w segments. .

The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

The cross correlation idea may work well, but you will have to perform it with varying levels of stretching.

The cross correlation will be computed using a 2D window of length L and height H representing the activity. Choose a moderate length L that resembles the expected length of the activity.

The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

The cross correlation idea may work well, but you will have to perform it with varying levels of stretching.

The cross correlation will be computed using a 2D window of length L and height H representing the activity. Choose a moderate length L that resembles the expected length of the activity. Assume that in the 'white regions' the function value is a constant that is different from the values representing the activity filled regions. This way your 2D window can have up to 4 different function values representing the r,g,b, and w segments. .

The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

added 98 characters in body
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Hasan
  • 485
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  • 4

The cross correlation idea may work well, but you will have to perform it with varying levels of stretching. 

The cross correlation will be computed using a 2D window of moderate sizelength L and height H representing the activity. Choose a moderate length L that resembles the expected length of the activity. 

The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

The cross correlation idea may work well, but you will have to perform it with varying levels of stretching. The cross correlation will be computed using a window of moderate size representing the activity. The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

The cross correlation idea may work well, but you will have to perform it with varying levels of stretching. 

The cross correlation will be computed using a 2D window of length L and height H representing the activity. Choose a moderate length L that resembles the expected length of the activity. 

The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

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Hasan
  • 485
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The cross correlation idea may work well, but you will have to perform it with variousvarying levels of stretching values. The cross correlation will be computed using a window of moderate size representing the activity. The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

The cross correlation idea may work well, but you will have to perform it with various levels of stretching values. You probably won't need the three channels.

The cross correlation idea may work well, but you will have to perform it with varying levels of stretching. The cross correlation will be computed using a window of moderate size representing the activity. The cross correlation will be taken between the signal and this window for n iterations where in each iteration the enlarging/shrinking factor takes a new value. You probably won't need the three channels.

Source Link
Hasan
  • 485
  • 3
  • 4
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