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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.float32, ndim=2] fft_code, numpy.ndarray[numpy.complex, ndim=2] data): | |
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4 | def decoder(numpy.ndarray[numpy.float32_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 |
| @@ -596,7 +596,7 class Decoder(Operation): | |||
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596 | 596 | |
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597 | 597 | self.__nChannels, self.__nHeis = shape |
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598 | 598 | |
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599 | self.__codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.float) | |
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599 | self.__codeBuffer = numpy.zeros((self.nCode, self.__nHeis), dtype=numpy.float32) | |
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600 | 600 | |
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601 | 601 | self.__codeBuffer[:,0:self.nBaud] = self.code |
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602 | 602 | |
| @@ -686,7 +686,10 class Decoder(Operation): | |||
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686 | 686 | if mode == 1: |
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687 | 687 | print "This function is not implemented" |
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688 | 688 | # ndatadec, datadec = self.convolutionInTime(dataOut.data) |
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689 |
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689 | ||
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690 | if mode == 3: | |
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691 | ndatadec, datadec = self.convolutionInFreqOpt(dataOut.data) | |
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692 | ||
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690 | 693 | dataOut.data = datadec |
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691 | 694 | |
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692 | 695 | dataOut.heightList = dataOut.heightList[0:ndatadec] |
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