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schain-jc
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VoltageProcesor.py:...
Victor Sarmiento -
r84:979b1151548c
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@@ -134,20 +134,169 class VoltageProcessor:
134 self.voltageOutObj.flagNoData = True
134 self.voltageOutObj.flagNoData = True
135
135
136 self.decoderIndex += 1
136 self.decoderIndex += 1
137
137
138
138 def removeDC(self):
139 def filterByHei(self, window):
139 pass
140 pass
141
140
142
141 def removeSignalInt(self):
143 def selectChannels(self, channelList):
142 pass
144 """
145 Selecciona un bloque de datos en base a canales y pares segun el channelList y el pairList
146
147 Input:
148 channelList : lista sencilla de canales a seleccionar por ej. (2,3,7)
149 pairList : tupla de pares que se desea selecionar por ej. ( (0,1), (0,2) )
150
151 Affected:
152 self.dataOutObj.datablock
153 self.dataOutObj.nChannels
154 self.dataOutObj.m_SystemHeader.numChannels
155 self.voltageOutObj.m_ProcessingHeader.blockSize
156
157 Return:
158 None
159 """
160 if not(channelList):
161 return
162
163 channels = 0
164 profiles = self.voltageOutObj.nProfiles
165 heights = self.voltageOutObj.m_ProcessingHeader.numHeights
166
167 #self spectra
168 channels = len(channelList)
169 data = numpy.zeros( (channels,profiles,heights), dtype='complex' )
170 for index,channel in enumerate(channelList):
171 data[index,:,:] = self.voltageOutObj.data_spc[channel,:,:]
143
172
144 def selChannel(self):
173 self.voltageOutObj.datablock = data
145 pass
174
175 #fill the m_ProcessingHeader.spectraComb up
176 channels = len(channelList)
177
178 self.voltageOutObj.channelList = channelList
179 self.voltageOutObj.nChannels = nchannels
180 self.voltageOutObj.m_ProcessingHeader.totalSpectra = nchannels
181 self.voltageOutObj.m_SystemHeader.numChannels = nchannels
182 self.voltageOutObj.m_ProcessingHeader.blockSize = data.size
183
146
184
147 def selRange(self):
185 def selectHeightsByValue(self, minHei, maxHei):
148 pass
186 """
187 Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango
188 minHei <= height <= maxHei
189
190 Input:
191 minHei : valor minimo de altura a considerar
192 maxHei : valor maximo de altura a considerar
193
194 Affected:
195 Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex
196
197 Return:
198 None
199 """
200 minIndex = 0
201 maxIndex = 0
202 data = self.dataOutObj.heightList
203
204 for i,val in enumerate(data):
205 if val < minHei:
206 continue
207 else:
208 minIndex = i;
209 break
210
211 for i,val in enumerate(data):
212 if val <= maxHei:
213 maxIndex = i;
214 else:
215 break
216
217 self.selectHeightsByIndex(minIndex, maxIndex)
218
219
220 def selectHeightsByIndex(self, minIndex, maxIndex):
221 """
222 Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango
223 minIndex <= index <= maxIndex
224
225 Input:
226 minIndex : valor minimo de altura a considerar
227 maxIndex : valor maximo de altura a considerar
228
229 Affected:
230 self.voltageOutObj.datablock
231 self.voltageOutObj.m_ProcessingHeader.numHeights
232 self.voltageOutObj.m_ProcessingHeader.blockSize
233 self.voltageOutObj.heightList
234 self.voltageOutObj.nHeights
235 self.voltageOutObj.m_RadarControllerHeader.numHeights
236
237 Return:
238 None
239 """
240 channels = self.voltageOutObj.nChannels
241 profiles = self.voltageOutObj.nProfiles
242 newheis = maxIndex - minIndex + 1
243 firstHeight = 0
244
245 #voltage
246 data = numpy.zeros( (channels,profiles,newheis), dtype='complex' )
247 for i in range(channels):
248 data[i] = self.voltageOutObj.data_spc[i,:,minIndex:maxIndex+1]
249
250 self.voltageOutObj.datablock = data
251
252 firstHeight = self.dataOutObj.heightList[minIndex]
253
254 self.voltageOutObj.nHeights = newheis
255 self.voltageOutObj.m_ProcessingHeader.blockSize = data.size
256 self.voltageOutObj.m_ProcessingHeader.numHeights = newheis
257 self.voltageOutObj.m_ProcessingHeader.firstHeight = firstHeight
258 self.voltageOutObj.m_RadarControllerHeader = newheis
259
260 xi = firstHeight
261 step = self.voltageOutObj.m_ProcessingHeader.deltaHeight
262 xf = xi + newheis * step
263 self.voltageOutObj.heightList = numpy.arange(xi, xf, step)
264
265
266 def selectProfiles(self, minIndex, maxIndex):
267 """
268 Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango
269 minIndex <= index <= maxIndex
270
271 Input:
272 minIndex : valor minimo de altura a considerar
273 maxIndex : valor maximo de altura a considerar
274
275 Affected:
276 self.voltageOutObj.datablock
277 self.voltageOutObj.m_ProcessingHeader.numHeights
278 self.voltageOutObj.heightList
279
280 Return:
281 None
282 """
283 channels = self.voltageOutObj.nChannels
284 heights = self.voltageOutObj.m_ProcessingHeader.numHeights
285 newprofiles = maxIndex - minIndex + 1
286
287 #voltage
288 data = numpy.zeros( (channels,newprofiles,heights), dtype='complex' )
289 for i in range(channels):
290 data[i,:,:] = self.voltageOutObj.data_spc[i,minIndex:maxIndex+1,:]
291
292 self.voltageOutObj.datablock = data
293
294 self.voltageOutObj.m_ProcessingHeader.blockSize = data.size
295 self.voltageOutObj.nProfiles = newprofiles
296 self.voltageOutObj.m_SystemHeader.numProfiles = newprofiles
297
149
298
150 def selProfiles(self):
299 def selectNtxs(self, ntx):
151 pass
300 pass
152
301
153
302
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