@@ -20,28 +20,22 class SpectraProcessor: | |||||
20 | classdocs |
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20 | classdocs | |
21 | ''' |
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21 | ''' | |
22 |
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22 | |||
23 |
def __init__(self, |
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23 | def __init__(self, dataInObj, dataOutObj=None): | |
24 | ''' |
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24 | ''' | |
25 | Constructor |
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25 | Constructor | |
26 | ''' |
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26 | ''' | |
27 |
self. |
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27 | self.dataInObj = dataInObj | |
28 |
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28 | |||
29 |
if |
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29 | if dataOutObj == None: | |
30 |
self. |
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30 | self.dataOutObj = Spectra() | |
31 | else: |
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31 | else: | |
32 |
self. |
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32 | self.dataOutObj = dataOutObj | |
33 |
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34 |
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33 | |||
35 | self.integratorIndex = None |
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34 | self.integratorIndex = None | |
36 | self.decoderIndex = None |
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35 | self.decoderIndex = None | |
37 | self.writerIndex = None |
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36 | self.writerIndex = None | |
38 | self.plotterIndex = None |
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37 | self.plotterIndex = None | |
39 |
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38 | |||
40 | if npts != None: |
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41 | self.spectraOutObj.nPoints = npts |
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42 |
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43 | self.npts = self.spectraOutObj.nPoints |
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44 |
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45 | self.integratorList = [] |
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39 | self.integratorList = [] | |
46 | self.decoderList = [] |
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40 | self.decoderList = [] | |
47 | self.writerList = [] |
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41 | self.writerList = [] | |
@@ -50,54 +44,144 class SpectraProcessor: | |||||
50 | self.buffer = None |
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44 | self.buffer = None | |
51 | self.ptsId = 0 |
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45 | self.ptsId = 0 | |
52 |
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46 | |||
53 | def init(self): |
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47 | def init(self, nFFTPoints, pairList=None): | |
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48 | ||||
54 | self.integratorIndex = 0 |
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49 | self.integratorIndex = 0 | |
55 | self.decoderIndex = 0 |
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50 | self.decoderIndex = 0 | |
56 | self.writerIndex = 0 |
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51 | self.writerIndex = 0 | |
57 | self.plotterIndex = 0 |
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52 | self.plotterIndex = 0 | |
58 |
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53 | |||
59 | if not( isinstance(self.spectraInObj, Spectra) ): |
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54 | if nFFTPoints == None: | |
60 | self.getFft() |
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55 | nFFTPoints = self.dataOutObj.nPoints | |
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56 | ||||
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57 | self.nFFTPoints = nFFTPoints | |||
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58 | self.pairList = pairList | |||
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59 | ||||
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60 | if not( isinstance(self.dataInObj, Spectra) ): | |||
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61 | self.__getFft() | |||
61 | else: |
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62 | else: | |
62 |
self. |
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63 | self.dataOutObj.copy(self.dataInObj) | |
63 |
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64 | |||
64 |
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65 | |||
65 | def getFft(self): |
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66 | def __getFft(self): | |
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67 | """ | |||
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68 | Convierte valores de Voltaje a Spectra | |||
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69 | ||||
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70 | Affected: | |||
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71 | self.dataOutObj.data_spc | |||
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72 | self.dataOutObj.data_cspc | |||
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73 | self.dataOutObj.data_dc | |||
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74 | self.dataOutObj.heightList | |||
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75 | self.dataOutObj.m_BasicHeader | |||
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76 | self.dataOutObj.m_ProcessingHeader | |||
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77 | self.dataOutObj.m_RadarControllerHeader | |||
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78 | self.dataOutObj.m_SystemHeader | |||
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79 | self.ptsId | |||
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80 | self.buffer | |||
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81 | self.dataOutObj.flagNoData | |||
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82 | self.dataOutObj.dataType | |||
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83 | self.dataOutObj.nPairs | |||
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84 | self.dataOutObj.nChannels | |||
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85 | self.dataOutObj.nProfiles | |||
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86 | self.dataOutObj.m_SystemHeader.numChannels | |||
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87 | self.dataOutObj.m_ProcessingHeader.totalSpectra | |||
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88 | self.dataOutObj.m_ProcessingHeader.profilesPerBlock | |||
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89 | self.dataOutObj.m_ProcessingHeader.numHeights | |||
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90 | self.dataOutObj.m_ProcessingHeader.spectraComb | |||
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91 | self.dataOutObj.m_ProcessingHeader.shif_fft | |||
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92 | """ | |||
|
93 | blocksize = 0 | |||
|
94 | npoints = self.nFFTPoints | |||
|
95 | nchannels, nheis = self.dataInObj.data.shape | |||
66 |
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96 | |||
67 | if self.buffer == None: |
|
97 | if self.buffer == None: | |
68 | nheis = self.spectraInObj.data.shape[1] |
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98 | self.buffer = numpy.zeros((nchannels, npoints, nheis), dtype='complex') | |
69 | nchannel = self.spectraInObj.data.shape[0] |
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70 | npoints = self.spectraOutObj.nPoints |
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71 | self.buffer = numpy.zeros((nchannel,npoints,nheis),dtype='complex') |
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72 |
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99 | |||
73 |
self.buffer[:,self.ptsId,:] = self. |
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100 | self.buffer[:,self.ptsId,:] = self.dataInObj.data | |
74 | self.ptsId += 1 |
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101 | self.ptsId += 1 | |
75 | self.spectraOutObj.flagNoData = True |
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76 | if self.ptsId >= self.spectraOutObj.nPoints: |
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77 | data_spc = numpy.fft.fft(self.buffer,axis=1) |
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78 | data_spc = numpy.fft.fftshift(data_spc,axes=1) |
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79 | self.ptsId = 0 |
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80 | self.buffer = None |
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81 |
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102 | |||
82 | #calculo de self-spectra |
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103 | if self.ptsId < self.dataOutObj.nPoints: | |
83 | self.spectraOutObj.data_spc = numpy.abs(data_spc * numpy.conjugate(data_spc)) |
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104 | self.dataOutObj.flagNoData = True | |
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105 | return | |||
84 |
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106 | |||
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107 | fft_volt = numpy.fft.fft(self.buffer,axis=1) | |||
|
108 | dc = fft_volt[:,0,:] | |||
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109 | ||||
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110 | #calculo de self-spectra | |||
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111 | fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,)) | |||
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112 | spc = numpy.abs(fft_volt * numpy.conjugate(fft_volt)) | |||
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113 | ||||
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114 | blocksize += dc.size | |||
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115 | blocksize += spc.size | |||
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116 | ||||
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117 | cspc = None | |||
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118 | npair = 0 | |||
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119 | if self.pairList != None: | |||
85 | #calculo de cross-spectra |
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120 | #calculo de cross-spectra | |
86 | #self.m_Spectra.data_cspc = self.__data_cspc |
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121 | npairs = len(self.pairList) | |
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122 | cspc = numpy.zeros((npairs, npoints, nheis), dtype='complex') | |||
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123 | for pair in self.pairList: | |||
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124 | cspc[npair,:,:] = numpy.abs(fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:])) | |||
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125 | npair += 1 | |||
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126 | blocksize += cspc.size | |||
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127 | ||||
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128 | self.dataOutObj.data_spc = spc | |||
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129 | self.dataOutObj.data_cspc = cspc | |||
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130 | self.dataOutObj.data_dc = dc | |||
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131 | ||||
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132 | self.ptsId = 0 | |||
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133 | self.buffer = None | |||
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134 | self.dataOutObj.flagNoData = False | |||
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135 | ||||
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136 | self.dataOutObj.heightList = self.dataInObj.heightList | |||
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137 | self.dataOutObj.channelList = self.dataInObj.channelList | |||
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138 | self.dataOutObj.m_BasicHeader = self.dataInObj.m_BasicHeader.copy() | |||
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139 | self.dataOutObj.m_ProcessingHeader = self.dataInObj.m_ProcessingHeader.copy() | |||
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140 | self.dataOutObj.m_RadarControllerHeader = self.dataInObj.m_RadarControllerHeader.copy() | |||
|
141 | self.dataOutObj.m_SystemHeader = self.dataInObj.m_SystemHeader.copy() | |||
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142 | ||||
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143 | self.dataOutObj.dataType = self.dataInObj.dataType | |||
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144 | self.dataOutObj.nPairs = npair | |||
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145 | self.dataOutObj.nChannels = nchannels | |||
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146 | self.dataOutObj.nProfiles = npoints | |||
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147 | self.dataOutObj.nHeights = nheis | |||
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148 | self.dataOutObj.nPoints = npoints | |||
|
149 | #self.dataOutObj.data = None | |||
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150 | ||||
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151 | self.dataOutObj.m_SystemHeader.numChannels = nchannels | |||
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152 | self.dataOutObj.m_SystemHeader.nProfiles = npoints | |||
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153 | ||||
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154 | self.dataOutObj.m_ProcessingHeader.blockSize = blocksize | |||
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155 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nchannels + npair | |||
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156 | self.dataOutObj.m_ProcessingHeader.profilesPerBlock = npoints | |||
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157 | self.dataOutObj.m_ProcessingHeader.numHeights = nheis | |||
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158 | self.dataOutObj.m_ProcessingHeader.shif_fft = True | |||
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159 | ||||
|
160 | spectraComb = numpy.zeros( (nchannels+npair)*2,numpy.dtype('u1')) | |||
|
161 | k = 0 | |||
|
162 | for i in range( 0,nchannels*2,2 ): | |||
|
163 | spectraComb[i] = k | |||
|
164 | spectraComb[i+1] = k | |||
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165 | k += 1 | |||
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166 | ||||
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167 | k *= 2 | |||
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168 | ||||
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169 | if self.pairList != None: | |||
87 |
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170 | |||
88 | #escribiendo dc |
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171 | for pair in self.pairList: | |
89 | #self.m_Spectra.data_dc = self.__data_dc |
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172 | spectraComb[k] = pair[0] | |
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173 | spectraComb[k+1] = pair[1] | |||
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174 | k += 2 | |||
90 |
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175 | |||
91 | self.spectraOutObj.flagNoData = False |
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176 | self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb | |
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177 | ||||
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178 | #self.selectHeightsByIndex( 0,10) | |||
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179 | #self.selectHeightsByValue( 120,200 ) | |||
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180 | #self.selectChannels((2,4,5), self.pairList) | |||
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181 | ||||
92 |
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182 | |||
93 | self.spectraOutObj.heights = self.spectraInObj.heights |
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94 | self.spectraOutObj.m_BasicHeader = self.spectraInObj.m_BasicHeader.copy() |
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95 | self.spectraOutObj.m_ProcessingHeader = self.spectraInObj.m_ProcessingHeader.copy() |
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96 | self.spectraOutObj.m_RadarControllerHeader = self.spectraInObj.m_RadarControllerHeader.copy() |
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97 | self.spectraOutObj.m_SystemHeader = self.spectraInObj.m_SystemHeader.copy() |
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98 |
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99 | def addWriter(self,wrpath): |
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183 | def addWriter(self,wrpath): | |
100 |
objWriter = SpectraWriter(self. |
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184 | objWriter = SpectraWriter(self.dataOutObj) | |
101 | objWriter.setup(wrpath) |
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185 | objWriter.setup(wrpath) | |
102 | self.writerList.append(objWriter) |
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186 | self.writerList.append(objWriter) | |
103 |
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187 | |||
@@ -107,7 +191,7 class SpectraProcessor: | |||||
107 | if index==None: |
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191 | if index==None: | |
108 | index = self.plotterIndex |
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192 | index = self.plotterIndex | |
109 |
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193 | |||
110 |
plotObj = Spectrum(self. |
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194 | plotObj = Spectrum(self.dataOutObj, index) | |
111 | self.plotterList.append(plotObj) |
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195 | self.plotterList.append(plotObj) | |
112 |
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196 | |||
113 |
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197 | |||
@@ -117,8 +201,8 class SpectraProcessor: | |||||
117 | self.integratorList.append(objIncohInt) |
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201 | self.integratorList.append(objIncohInt) | |
118 |
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202 | |||
119 |
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203 | |||
120 | def writeData(self): |
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204 | def writeData(self, wrpath): | |
121 |
if self. |
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205 | if self.dataOutObj.flagNoData: | |
122 | return 0 |
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206 | return 0 | |
123 |
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207 | |||
124 | if len(self.writerList) <= self.writerIndex: |
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208 | if len(self.writerList) <= self.writerIndex: | |
@@ -129,7 +213,7 class SpectraProcessor: | |||||
129 | self.writerIndex += 1 |
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213 | self.writerIndex += 1 | |
130 |
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214 | |||
131 | def plotData(self,xmin=None, xmax=None, ymin=None, ymax=None, winTitle='', index=None): |
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215 | def plotData(self,xmin=None, xmax=None, ymin=None, ymax=None, winTitle='', index=None): | |
132 |
if self. |
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216 | if self.dataOutObj.flagNoData: | |
133 | return 0 |
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217 | return 0 | |
134 |
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218 | |||
135 | if len(self.plotterList) <= self.plotterIndex: |
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219 | if len(self.plotterList) <= self.plotterIndex: | |
@@ -140,25 +224,254 class SpectraProcessor: | |||||
140 | self.plotterIndex += 1 |
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224 | self.plotterIndex += 1 | |
141 |
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225 | |||
142 | def integrator(self, N): |
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226 | def integrator(self, N): | |
143 |
if self. |
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227 | if self.dataOutObj.flagNoData: | |
144 | return 0 |
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228 | return 0 | |
145 |
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229 | |||
146 | if len(self.integratorList) <= self.integratorIndex: |
|
230 | if len(self.integratorList) <= self.integratorIndex: | |
147 | self.addIntegrator(N) |
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231 | self.addIntegrator(N) | |
148 |
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232 | |||
149 | myCohIntObj = self.integratorList[self.integratorIndex] |
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233 | myCohIntObj = self.integratorList[self.integratorIndex] | |
150 |
myCohIntObj.exe(self. |
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234 | myCohIntObj.exe(self.dataOutObj.data_spc) | |
151 |
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235 | |||
152 | if myCohIntObj.flag: |
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236 | if myCohIntObj.flag: | |
153 |
self. |
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237 | self.dataOutObj.data_spc = myCohIntObj.data | |
154 |
self. |
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238 | self.dataOutObj.m_ProcessingHeader.incoherentInt *= N | |
155 |
self. |
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239 | self.dataOutObj.flagNoData = False | |
156 |
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240 | |||
157 | else: |
|
241 | else: | |
158 |
self. |
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242 | self.dataOutObj.flagNoData = True | |
159 |
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243 | |||
160 | self.integratorIndex += 1 |
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244 | self.integratorIndex += 1 | |
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245 | ||||
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246 | def removeDC(self, type): | |||
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247 | ||||
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248 | if self.dataOutObj.flagNoData: | |||
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249 | return 0 | |||
|
250 | pass | |||
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251 | ||||
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252 | def removeInterference(self): | |||
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253 | ||||
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254 | if self.dataOutObj.flagNoData: | |||
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255 | return 0 | |||
|
256 | pass | |||
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257 | ||||
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258 | def removeSatellites(self): | |||
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259 | ||||
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260 | if self.dataOutObj.flagNoData: | |||
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261 | return 0 | |||
|
262 | pass | |||
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263 | ||||
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264 | def selectChannels(self, channelList, pairList=None): | |||
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265 | """ | |||
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266 | Selecciona un bloque de datos en base a canales y pares segun el channelList y el pairList | |||
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267 | ||||
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268 | Input: | |||
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269 | channelList : lista sencilla de canales a seleccionar por ej. (2,3,7) | |||
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270 | pairList : tupla de pares que se desea selecionar por ej. ( (0,1), (0,2) ) | |||
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271 | ||||
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272 | Affected: | |||
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273 | self.dataOutObj.data_spc | |||
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274 | self.dataOutObj.data_cspc | |||
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275 | self.dataOutObj.data_dc | |||
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276 | self.dataOutObj.nChannels | |||
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277 | self.dataOutObj.nPairs | |||
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278 | self.dataOutObj.m_ProcessingHeader.spectraComb | |||
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279 | self.dataOutObj.m_SystemHeader.numChannels | |||
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280 | ||||
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281 | Return: | |||
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282 | None | |||
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283 | """ | |||
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284 | ||||
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285 | if self.dataOutObj.flagNoData: | |||
|
286 | return 0 | |||
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287 | ||||
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288 | nchannels = 0 | |||
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289 | npairs = 0 | |||
|
290 | profiles = self.dataOutObj.nProfiles | |||
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291 | dataType = self.dataOutObj.dataType | |||
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292 | heights = self.dataOutObj.m_ProcessingHeader.numHeights | |||
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293 | blocksize = 0 | |||
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294 | ||||
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295 | #self spectra | |||
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296 | nchannels = len(channelList) | |||
|
297 | spc = numpy.zeros( (nchannels,profiles,heights), dataType[0] ) | |||
161 |
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298 | |||
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299 | for index, channel in enumerate(channelList): | |||
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300 | spc[index,:,:] = self.dataOutObj.data_spc[channel,:,:] | |||
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301 | ||||
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302 | #DC channel | |||
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303 | dc = numpy.zeros( (nchannels,heights), dtype='complex' ) | |||
|
304 | for index, channel in enumerate(channelList): | |||
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305 | dc[index,:] = self.dataOutObj.data_dc[channel,:] | |||
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306 | ||||
|
307 | blocksize += dc.size | |||
|
308 | blocksize += spc.size | |||
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309 | ||||
|
310 | npairs = 0 | |||
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311 | cspc = None | |||
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312 | ||||
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313 | if pairList == None: | |||
|
314 | pairList = self.pairList | |||
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315 | ||||
|
316 | if pairList != None: | |||
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317 | #cross spectra | |||
|
318 | npairs = len(pairList) | |||
|
319 | cspc = numpy.zeros( (npairs,profiles,heights), dtype='complex' ) | |||
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320 | ||||
|
321 | spectraComb = self.dataOutObj.m_ProcessingHeader.spectraComb | |||
|
322 | totalSpectra = len(spectraComb) | |||
|
323 | nchan = self.dataOutObj.nChannels | |||
|
324 | indexList = [] | |||
|
325 | ||||
|
326 | for pair in pairList: #busco el par en la lista de pares del Spectra Combinations | |||
|
327 | for index in range(0,totalSpectra,2): | |||
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328 | if pair[0] == spectraComb[index] and pair[1] == spectraComb[index+1]: | |||
|
329 | indexList.append( index/2 - nchan ) | |||
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330 | ||||
|
331 | for index, pair in enumerate(indexList): | |||
|
332 | cspc[index,:,:] = self.dataOutObj.data_cspc[pair,:,:] | |||
|
333 | blocksize += cspc.size | |||
|
334 | ||||
|
335 | else: | |||
|
336 | pairList = self.pairList | |||
|
337 | cspc = self.dataOutObj.data_cspc | |||
|
338 | if cspc != None: | |||
|
339 | blocksize += cspc.size | |||
|
340 | ||||
|
341 | spectraComb = numpy.zeros( (nchannels+npairs)*2,numpy.dtype('u1')) | |||
|
342 | i = 0 | |||
|
343 | for val in channelList: | |||
|
344 | spectraComb[i] = val | |||
|
345 | spectraComb[i+1] = val | |||
|
346 | i += 2 | |||
|
347 | ||||
|
348 | if pairList != None: | |||
|
349 | for pair in pairList: | |||
|
350 | spectraComb[i] = pair[0] | |||
|
351 | spectraComb[i+1] = pair[1] | |||
|
352 | i += 2 | |||
|
353 | ||||
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354 | self.dataOutObj.data_spc = spc | |||
|
355 | self.dataOutObj.data_cspc = cspc | |||
|
356 | self.dataOutObj.data_dc = dc | |||
|
357 | self.dataOutObj.nChannels = nchannels | |||
|
358 | self.dataOutObj.nPairs = npairs | |||
|
359 | ||||
|
360 | self.dataOutObj.channelList = channelList | |||
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361 | ||||
|
362 | self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb | |||
|
363 | self.dataOutObj.m_ProcessingHeader.totalSpectra = nchannels + npairs | |||
|
364 | self.dataOutObj.m_SystemHeader.numChannels = nchannels | |||
|
365 | self.dataOutObj.nChannels = nchannels | |||
|
366 | self.dataOutObj.m_ProcessingHeader.blockSize = blocksize | |||
|
367 | ||||
|
368 | ||||
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369 | def selectHeightsByValue(self, minHei, maxHei): | |||
|
370 | """ | |||
|
371 | Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango | |||
|
372 | minHei <= height <= maxHei | |||
|
373 | ||||
|
374 | Input: | |||
|
375 | minHei : valor minimo de altura a considerar | |||
|
376 | maxHei : valor maximo de altura a considerar | |||
|
377 | ||||
|
378 | Affected: | |||
|
379 | Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex | |||
|
380 | ||||
|
381 | Return: | |||
|
382 | None | |||
|
383 | """ | |||
|
384 | ||||
|
385 | if self.dataOutObj.flagNoData: | |||
|
386 | return 0 | |||
|
387 | ||||
|
388 | minIndex = 0 | |||
|
389 | maxIndex = 0 | |||
|
390 | data = self.dataOutObj.heightList | |||
|
391 | ||||
|
392 | for i,val in enumerate(data): | |||
|
393 | if val < minHei: | |||
|
394 | continue | |||
|
395 | else: | |||
|
396 | minIndex = i; | |||
|
397 | break | |||
|
398 | ||||
|
399 | for i,val in enumerate(data): | |||
|
400 | if val <= maxHei: | |||
|
401 | maxIndex = i; | |||
|
402 | else: | |||
|
403 | break | |||
|
404 | ||||
|
405 | self.selectHeightsByIndex(minIndex, maxIndex) | |||
|
406 | ||||
|
407 | ||||
|
408 | def selectHeightsByIndex(self, minIndex, maxIndex): | |||
|
409 | """ | |||
|
410 | Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango | |||
|
411 | minIndex <= index <= maxIndex | |||
|
412 | ||||
|
413 | Input: | |||
|
414 | minIndex : valor minimo de altura a considerar | |||
|
415 | maxIndex : valor maximo de altura a considerar | |||
|
416 | ||||
|
417 | Affected: | |||
|
418 | self.dataOutObj.data_spc | |||
|
419 | self.dataOutObj.data_cspc | |||
|
420 | self.dataOutObj.data_dc | |||
|
421 | self.dataOutObj.heightList | |||
|
422 | self.dataOutObj.nHeights | |||
|
423 | self.dataOutObj.m_ProcessingHeader.numHeights | |||
|
424 | self.dataOutObj.m_ProcessingHeader.blockSize | |||
|
425 | self.dataOutObj.m_ProcessingHeader.firstHeight | |||
|
426 | self.dataOutObj.m_RadarControllerHeader.numHeights | |||
|
427 | ||||
|
428 | Return: | |||
|
429 | None | |||
|
430 | """ | |||
|
431 | ||||
|
432 | if self.dataOutObj.flagNoData: | |||
|
433 | return 0 | |||
|
434 | ||||
|
435 | nchannels = self.dataOutObj.nChannels | |||
|
436 | npairs = self.dataOutObj.nPairs | |||
|
437 | profiles = self.dataOutObj.nProfiles | |||
|
438 | dataType = self.dataOutObj.dataType | |||
|
439 | newheis = maxIndex - minIndex + 1 | |||
|
440 | blockSize = 0 | |||
|
441 | ||||
|
442 | #self spectra | |||
|
443 | spc = numpy.zeros( (nchannels,profiles,newheis), dataType[0] ) | |||
|
444 | for i in range(nchannels): | |||
|
445 | spc[i,:,:] = self.dataOutObj.data_spc[i,:,minIndex:maxIndex+1] | |||
|
446 | ||||
|
447 | #cross spectra | |||
|
448 | cspc = numpy.zeros( (npairs,profiles,newheis), dtype='complex') | |||
|
449 | for i in range(npairs): | |||
|
450 | cspc[i,:,:] = self.dataOutObj.data_cspc[i,:,minIndex:maxIndex+1] | |||
|
451 | ||||
|
452 | #DC channel | |||
|
453 | dc = numpy.zeros( (nchannels,newheis), dtype='complex') | |||
|
454 | for i in range(nchannels): | |||
|
455 | dc[i] = self.dataOutObj.data_dc[i,minIndex:maxIndex+1] | |||
|
456 | ||||
|
457 | self.dataOutObj.data_spc = spc | |||
|
458 | self.dataOutObj.data_cspc = cspc | |||
|
459 | self.dataOutObj.data_dc = dc | |||
|
460 | ||||
|
461 | firstHeight = self.dataOutObj.heightList[minIndex] | |||
|
462 | ||||
|
463 | self.dataOutObj.nHeights = newheis | |||
|
464 | self.dataOutObj.m_ProcessingHeader.blockSize = spc.size + cspc.size + dc.size | |||
|
465 | self.dataOutObj.m_ProcessingHeader.numHeights = newheis | |||
|
466 | self.dataOutObj.m_ProcessingHeader.firstHeight = firstHeight | |||
|
467 | self.dataOutObj.m_RadarControllerHeader.numHeights = newheis | |||
|
468 | ||||
|
469 | xi = firstHeight | |||
|
470 | step = self.dataOutObj.m_ProcessingHeader.deltaHeight | |||
|
471 | xf = xi + newheis * step | |||
|
472 | self.dataOutObj.heightList = numpy.arange(xi, xf, step) | |||
|
473 | ||||
|
474 | ||||
162 | class IncoherentIntegration: |
|
475 | class IncoherentIntegration: | |
163 | def __init__(self, N): |
|
476 | def __init__(self, N): | |
164 | self.profCounter = 1 |
|
477 | self.profCounter = 1 |
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