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I am implementing a Weighted Moving Average algorithm with the help of convolution.

It is quite easy in Python using the convolution function provided by numpy.

The codes are as follows:

# Method 2 WMA
WINDOW_SIZE = 70
DATA_SET_NUMBER = 7090
smoothedAcc = ndarray(DATA_SET_NUMBER)
weights = ndarray(WINDOW_SIZE)
accWindow = ndarray(WINDOW_SIZE)

for i, v in enumerate(weights):
    weights[i] = (WINDOW_SIZE - i) / (WINDOW_SIZE * (WINDOW_SIZE + 1) / 2)

for x in xrange(0, (DATA_SET_NUMBER - WINDOW_SIZE)):
    for y in xrange(0, WINDOW_SIZE):
        accWindow[y] = acc[x + y]    
    smoothedAcc[x] = np.convolve(weights, accWindow, 'valid')

However, in the end I have to implement this in Java. I tried to find the readily-built convolution API in Java, but failed.

Anyone can help me get the equivalent Java codes of the above-mentioned Python snippet?

Thanks in advance!

Improve this question
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  • 1
    Just use Jython and compile it in Java bytecodes? ;) Commented Jun 5, 2013 at 2:46
  • @AshwinMukhija Could you please kindly elaborate? Ive never heard of it. thanks! Commented Jun 5, 2013 at 2:51
  • @AshwinMukhija Oh oh.My ultimate goal is to transfer the Java codes to an Android phone. So cannot run the codes in Python Commented Jun 5, 2013 at 2:52
  • what's wrong in doing it by hand ? Commented Jun 5, 2013 at 3:20
  • @akshayb as easy as abc Commented Jun 5, 2013 at 5:27
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