| @@ -315,7 +315,7 class VoltageReader(JRODataReader, ProcessingUnit): | |||
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315 | 315 | self.nTxs, self.processingHeaderObj.nHeights)) |
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316 | 316 | |
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317 | 317 | self.datablock = self.datablock.reshape( |
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318 | (self.systemHeaderObj.nChannels, self.processingHeaderObj.profilesPerBlock * self.nTxs, self.processingHeaderObj.nHeights / self.nTxs)) | |
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318 | (self.systemHeaderObj.nChannels, self.processingHeaderObj.profilesPerBlock * self.nTxs, int(self.processingHeaderObj.nHeights / self.nTxs))) | |
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319 | 319 | |
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320 | 320 | self.dataOut.nProfiles = self.processingHeaderObj.profilesPerBlock * self.nTxs |
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321 | 321 | self.dataOut.heightList = numpy.arange(self.processingHeaderObj.nHeights / self.nTxs) * \ |
| @@ -463,7 +463,6 class VoltageReader(JRODataReader, ProcessingUnit): | |||
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463 | 463 | """ |
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464 | 464 | if self.flagNoMoreFiles: |
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465 | 465 | self.dataOut.flagNoData = True |
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466 | print('Process finished') | |
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467 | 466 | return 0 |
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468 | 467 | self.flagDiscontinuousBlock = 0 |
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469 | 468 | self.flagIsNewBlock = 0 |
| @@ -492,16 +491,6 class VoltageReader(JRODataReader, ProcessingUnit): | |||
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492 | 491 | |
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493 | 492 | self.profileIndex += 1 |
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494 | 493 | |
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495 | # elif self.selBlocksize==None or self.selBlocksize==self.dataOut.nProfiles: | |
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496 | # """ | |
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497 | # Return all block | |
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498 | # """ | |
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499 | # self.dataOut.flagDataAsBlock = True | |
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500 | # self.dataOut.data = self.datablock | |
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501 | # self.dataOut.profileIndex = self.dataOut.nProfiles - 1 | |
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502 | # | |
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503 | # self.profileIndex = self.dataOut.nProfiles | |
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504 | ||
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505 | 494 | else: |
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506 | 495 | """ |
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507 | 496 | Return a block |
| @@ -230,7 +230,7 class VoltageProc(ProcessingUnit): | |||
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230 | 230 | Si la data es obtenida por bloques, dimension = [nChannels, nProfiles, nHeis] |
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231 | 231 | """ |
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232 | 232 | buffer = self.dataOut.data[:, :, 0:int(self.dataOut.nHeights-r)] |
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233 | buffer = buffer.reshape(self.dataOut.nChannels,self.dataOut.nProfiles,self.dataOut.nHeights/window,window) | |
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233 | buffer = buffer.reshape(self.dataOut.nChannels, self.dataOut.nProfiles, int(self.dataOut.nHeights/window), window) | |
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234 | 234 | buffer = numpy.sum(buffer,3) |
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235 | 235 | |
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236 | 236 | else: |
| @@ -665,8 +665,7 class Decoder(Operation): | |||
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665 | 665 | |
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666 | 666 | def __convolutionByBlockInTime(self, data): |
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667 | 667 | |
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668 | repetitions = self.__nProfiles / self.nCode | |
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669 | ||
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668 | repetitions = int(self.__nProfiles / self.nCode) | |
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670 | 669 | junk = numpy.lib.stride_tricks.as_strided(self.code, (repetitions, self.code.size), (0, self.code.itemsize)) |
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671 | 670 | junk = junk.flatten() |
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672 | 671 | code_block = numpy.reshape(junk, (self.nCode*repetitions, self.nBaud)) |
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