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1 | 1 | import numpy |
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2 | 2 | cimport numpy |
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3 | 3 | |
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4 |
def decoder(numpy.ndarray[numpy. |
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4 | def decoder(numpy.ndarray[numpy.complex_t, ndim=2] fft_code, numpy.ndarray[numpy.complex_t, ndim=2] data): | |
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5 | 5 | |
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6 | 6 | fft_data = numpy.fft.fft(data, axis=1) |
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7 | 7 | conv = fft_data*fft_code |
| @@ -629,7 +629,7 class Decoder(Operation): | |||
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629 | 629 | return ndatadec, datadec |
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630 | 630 | |
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631 | 631 | def convolutionInFreqOpt(self, data): |
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632 | ||
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632 | ini = time.time() | |
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633 | 633 | fft_code = self.fft_code[self.__profIndex].reshape(1,-1) |
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634 | 634 | |
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635 | 635 | data = cfunctions.decoder(fft_code, data) |
| @@ -642,7 +642,7 class Decoder(Operation): | |||
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642 | 642 | return ndatadec, datadec |
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643 | 643 | |
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644 | 644 | self.__profIndex += 1 |
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645 | ||
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645 | print time.time() - ini | |
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646 | 646 | return ndatadec, datadec |
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647 | 647 | |
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648 | 648 | def convolutionInTime(self, data): |
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