| @@ -68,12 +68,23 class BLTRParametersProc(ProcessingUnit): | |||
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68 | 68 | self.dataOut.data_param = self.dataOut.data[mode] |
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69 | 69 | self.dataOut.heightList = self.dataOut.height[0] |
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70 | 70 | self.dataOut.data_snr = self.dataOut.data_snr[mode] |
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71 | ||
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72 | data_param = numpy.zeros([4, len(self.dataOut.heightList)]) | |
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71 | 73 | |
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74 | SNRavg = numpy.average(self.dataOut.data_snr, axis=0) | |
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75 | SNRavgdB = 10*numpy.log10(SNRavg) | |
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76 | # Censoring Data | |
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72 | 77 | if snr_threshold is not None: |
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73 | SNRavg = numpy.average(self.dataOut.data_snr, axis=0) | |
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74 | SNRavgdB = 10*numpy.log10(SNRavg) | |
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75 | 78 | for i in range(3): |
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76 | 79 | self.dataOut.data_param[i][SNRavgdB <= snr_threshold] = numpy.nan |
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80 | # Including AvgSNR in data_param | |
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81 | for i in range(data_param.shape[0]): | |
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82 | if i == 3: | |
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83 | data_param[i] = SNRavgdB | |
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84 | else: | |
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85 | data_param[i] = self.dataOut.data_param[i] | |
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86 | ||
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87 | self.dataOut.data_param = data_param | |
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77 | 88 | |
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78 | 89 | # TODO |
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79 | 90 | |
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