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'''
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Created on Feb 7, 2012
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@author $Author$
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@version $Id$
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'''
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import os, sys
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import numpy
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path = os.path.split(os.getcwd())[0]
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sys.path.append(path)
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from Model.Spectra import Spectra
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from IO.SpectraIO import SpectraWriter
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from Graphics.SpectraPlot import Spectrum
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class SpectraProcessor:
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'''
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classdocs
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'''
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dataInObj = None
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dataOutObj = None
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integratorObjIndex = None
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decoderObjIndex = None
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writerObjIndex = None
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plotterObjIndex = None
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integratorObjList = []
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decoderObjList = []
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writerObjList = []
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plotterObjList = []
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buffer = None
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ptsId = 0
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nFFTPoints = None
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pairList = None
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def __init__(self, dataInObj=None, dataOutObj=None):
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'''
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Constructor
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'''
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self.dataInObj = dataInObj
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if dataOutObj == None:
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self.dataOutObj = Spectra()
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else:
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self.dataOutObj = dataOutObj
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self.integratorObjIndex = None
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self.decoderObjIndex = None
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self.writerObjIndex = None
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self.plotterObjIndex = None
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self.integratorObjList = []
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self.decoderObjList = []
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self.writerObjList = []
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self.plotterObjList = []
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self.buffer = None
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self.ptsId = 0
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def setIO(self,inputObject, outputObject):
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# if not( isinstance(inputObject, Voltage) ):
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# print 'InputObject must be an instance from Voltage()'
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# sys.exit(0)
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if not( isinstance(outputObject, Spectra) ):
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print 'OutputObject must be an instance from Spectra()'
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sys.exit(0)
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self.dataInObj = inputObject
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self.dataOutObj = outputObject
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def setup(self,nFFTPoints=None, pairList=None):
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if nFFTPoints == None:
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nFFTPoints = self.dataOutObj.nFFTPoints
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self.nFFTPoints = nFFTPoints
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self.pairList = pairList
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# def init(self, nFFTPoints, pairList=None):
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def init(self):
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self.integratorObjIndex = 0
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self.decoderObjIndex = 0
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self.writerObjIndex = 0
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self.plotterObjIndex = 0
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# if nFFTPoints == None:
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# nFFTPoints = self.dataOutObj.nFFTPoints
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#
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# self.nFFTPoints = nFFTPoints
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# self.pairList = pairList
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#
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if not( isinstance(self.dataInObj, Spectra) ):
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self.__getFft()
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else:
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self.dataOutObj.copy(self.dataInObj)
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def __getFft(self):
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"""
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Convierte valores de Voltaje a Spectra
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Affected:
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self.dataOutObj.data_spc
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self.dataOutObj.data_cspc
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self.dataOutObj.data_dc
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self.dataOutObj.heightList
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self.dataOutObj.m_BasicHeader
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self.dataOutObj.m_ProcessingHeader
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self.dataOutObj.m_RadarControllerHeader
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self.dataOutObj.m_SystemHeader
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self.ptsId
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self.buffer
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self.dataOutObj.flagNoData
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self.dataOutObj.dataType
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self.dataOutObj.nPairs
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self.dataOutObj.nChannels
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self.dataOutObj.nProfiles
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self.dataOutObj.m_SystemHeader.numChannels
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self.dataOutObj.m_ProcessingHeader.totalSpectra
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self.dataOutObj.m_ProcessingHeader.profilesPerBlock
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self.dataOutObj.m_ProcessingHeader.numHeights
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self.dataOutObj.m_ProcessingHeader.spectraComb
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self.dataOutObj.m_ProcessingHeader.shif_fft
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"""
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blocksize = 0
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nFFTPoints = self.nFFTPoints
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nChannels, nheis = self.dataInObj.data.shape
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if self.buffer == None:
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self.buffer = numpy.zeros((nChannels, nFFTPoints, nheis), dtype='complex')
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self.buffer[:,self.ptsId,:] = self.dataInObj.data
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self.ptsId += 1
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if self.ptsId < self.dataOutObj.nFFTPoints:
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self.dataOutObj.flagNoData = True
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return
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fft_volt = numpy.fft.fft(self.buffer,axis=1)
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dc = fft_volt[:,0,:]
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#calculo de self-spectra
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fft_volt = numpy.fft.fftshift(fft_volt,axes=(1,))
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spc = numpy.abs(fft_volt * numpy.conjugate(fft_volt))
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blocksize += dc.size
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blocksize += spc.size
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cspc = None
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nPair = 0
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if self.pairList != None:
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#calculo de cross-spectra
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nPairs = len(self.pairList)
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cspc = numpy.zeros((nPairs, nFFTPoints, nheis), dtype='complex')
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for pair in self.pairList:
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cspc[nPair,:,:] = numpy.abs(fft_volt[pair[0],:,:] * numpy.conjugate(fft_volt[pair[1],:,:]))
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nPair += 1
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blocksize += cspc.size
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self.dataOutObj.data_spc = spc
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self.dataOutObj.data_cspc = cspc
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self.dataOutObj.data_dc = dc
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self.ptsId = 0
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self.buffer = None
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self.dataOutObj.flagNoData = False
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self.dataOutObj.heightList = self.dataInObj.heightList
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self.dataOutObj.channelList = self.dataInObj.channelList
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self.dataOutObj.m_BasicHeader = self.dataInObj.m_BasicHeader.copy()
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self.dataOutObj.m_ProcessingHeader = self.dataInObj.m_ProcessingHeader.copy()
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self.dataOutObj.m_RadarControllerHeader = self.dataInObj.m_RadarControllerHeader.copy()
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self.dataOutObj.m_SystemHeader = self.dataInObj.m_SystemHeader.copy()
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self.dataOutObj.dataType = self.dataInObj.dataType
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self.dataOutObj.nPairs = nPair
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self.dataOutObj.nChannels = nChannels
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self.dataOutObj.nProfiles = nFFTPoints
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self.dataOutObj.nHeights = nheis
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self.dataOutObj.nFFTPoints = nFFTPoints
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#self.dataOutObj.data = None
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self.dataOutObj.m_SystemHeader.numChannels = nChannels
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self.dataOutObj.m_SystemHeader.nProfiles = nFFTPoints
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self.dataOutObj.m_ProcessingHeader.blockSize = blocksize
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self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels + nPair
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self.dataOutObj.m_ProcessingHeader.profilesPerBlock = nFFTPoints
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self.dataOutObj.m_ProcessingHeader.numHeights = nheis
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self.dataOutObj.m_ProcessingHeader.shif_fft = True
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spectraComb = numpy.zeros( (nChannels+nPair)*2,numpy.dtype('u1'))
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k = 0
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for i in range( 0,nChannels*2,2 ):
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spectraComb[i] = k
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spectraComb[i+1] = k
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k += 1
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k *= 2
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if self.pairList != None:
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for pair in self.pairList:
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spectraComb[k] = pair[0]
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spectraComb[k+1] = pair[1]
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k += 2
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self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb
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def addWriter(self,wrpath):
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objWriter = SpectraWriter(self.dataOutObj)
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objWriter.setup(wrpath)
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self.writerObjList.append(objWriter)
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def addPlotter(self, index=None):
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if index==None:
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index = self.plotterObjIndex
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plotObj = Spectrum(self.dataOutObj, index)
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self.plotterObjList.append(plotObj)
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def addIntegrator(self,N):
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objIncohInt = IncoherentIntegration(N)
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self.integratorObjList.append(objIncohInt)
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def writeData(self, wrpath):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.writerObjList) <= self.writerObjIndex:
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self.addWriter(wrpath)
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self.writerObjList[self.writerObjIndex].putData()
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self.writerObjIndex += 1
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def plotData(self,xmin=None, xmax=None, ymin=None, ymax=None, winTitle='', index=None):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.plotterObjList) <= self.plotterObjIndex:
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self.addPlotter(index)
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self.plotterObjList[self.plotterObjIndex].plotData(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax,winTitle=winTitle)
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self.plotterObjIndex += 1
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def integrator(self, N):
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if self.dataOutObj.flagNoData:
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return 0
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if len(self.integratorObjList) <= self.integratorObjIndex:
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self.addIntegrator(N)
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myCohIntObj = self.integratorObjList[self.integratorObjIndex]
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myCohIntObj.exe(self.dataOutObj.data_spc)
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if myCohIntObj.flag:
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self.dataOutObj.data_spc = myCohIntObj.data
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self.dataOutObj.m_ProcessingHeader.incoherentInt *= N
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self.dataOutObj.flagNoData = False
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else:
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self.dataOutObj.flagNoData = True
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self.integratorObjIndex += 1
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def removeDC(self, type):
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if self.dataOutObj.flagNoData:
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return 0
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pass
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def removeInterference(self):
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if self.dataOutObj.flagNoData:
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return 0
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pass
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def removeSatellites(self):
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if self.dataOutObj.flagNoData:
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return 0
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pass
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def selectChannels(self, channelList, pairList=None):
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"""
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Selecciona un bloque de datos en base a canales y pares segun el channelList y el pairList
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Input:
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channelList : lista sencilla de canales a seleccionar por ej. (2,3,7)
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pairList : tupla de pares que se desea selecionar por ej. ( (0,1), (0,2) )
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Affected:
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self.dataOutObj.data_spc
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self.dataOutObj.data_cspc
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self.dataOutObj.data_dc
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self.dataOutObj.nChannels
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self.dataOutObj.nPairs
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self.dataOutObj.m_ProcessingHeader.spectraComb
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self.dataOutObj.m_SystemHeader.numChannels
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Return:
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None
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"""
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if self.dataOutObj.flagNoData:
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return 0
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channelIndexList = []
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for channel in channelList:
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if channel in self.dataOutObj.channelList:
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index = self.dataOutObj.channelList.index(channel)
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channelIndexList.append(index)
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continue
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raise ValueError, "The value %d in channelList is not valid" %channel
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nProfiles = self.dataOutObj.nProfiles
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#dataType = self.dataOutObj.dataType
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nHeights = self.dataOutObj.nHeights #m_ProcessingHeader.numHeights
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blocksize = 0
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#self spectra
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nChannels = len(channelIndexList)
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spc = numpy.zeros( (nChannels,nProfiles,nHeights), dtype='float' ) #dataType[0] )
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for index, channel in enumerate(channelIndexList):
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spc[index,:,:] = self.dataOutObj.data_spc[index,:,:]
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#DC channel
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dc = numpy.zeros( (nChannels,nHeights), dtype='complex' )
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for index, channel in enumerate(channelIndexList):
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dc[index,:] = self.dataOutObj.data_dc[channel,:]
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blocksize += dc.size
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blocksize += spc.size
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nPairs = 0
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cspc = None
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if pairList == None:
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pairList = self.pairList
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if (pairList != None) and (self.dataOutObj.data_cspc != None):
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#cross spectra
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nPairs = len(pairList)
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cspc = numpy.zeros( (nPairs,nProfiles,nHeights), dtype='complex' )
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spectraComb = self.dataOutObj.m_ProcessingHeader.spectraComb
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totalSpectra = len(spectraComb)
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nchan = self.dataOutObj.nChannels
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pairIndexList = []
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for pair in pairList: #busco el par en la lista de pares del Spectra Combinations
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for index in range(0,totalSpectra,2):
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if pair[0] == spectraComb[index] and pair[1] == spectraComb[index+1]:
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pairIndexList.append( index/2 - nchan )
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for index, pair in enumerate(pairIndexList):
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cspc[index,:,:] = self.dataOutObj.data_cspc[pair,:,:]
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blocksize += cspc.size
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else:
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pairList = self.pairList
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cspc = self.dataOutObj.data_cspc
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if cspc != None:
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blocksize += cspc.size
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spectraComb = numpy.zeros( (nChannels+nPairs)*2,numpy.dtype('u1'))
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i = 0
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for val in channelList:
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spectraComb[i] = val
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spectraComb[i+1] = val
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i += 2
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if pairList != None:
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for pair in pairList:
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spectraComb[i] = pair[0]
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spectraComb[i+1] = pair[1]
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i += 2
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self.dataOutObj.data_spc = spc
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self.dataOutObj.data_cspc = cspc
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self.dataOutObj.data_dc = dc
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self.dataOutObj.nChannels = nChannels
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self.dataOutObj.nPairs = nPairs
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self.dataOutObj.channelList = channelList
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self.dataOutObj.m_ProcessingHeader.spectraComb = spectraComb
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self.dataOutObj.m_ProcessingHeader.totalSpectra = nChannels + nPairs
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self.dataOutObj.m_SystemHeader.numChannels = nChannels
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self.dataOutObj.nChannels = nChannels
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self.dataOutObj.m_ProcessingHeader.blockSize = blocksize
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def selectHeightsByValue(self, minHei, maxHei):
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"""
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Selecciona un bloque de datos en base a un grupo de valores de alturas segun el rango
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minHei <= height <= maxHei
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Input:
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minHei : valor minimo de altura a considerar
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maxHei : valor maximo de altura a considerar
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Affected:
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Indirectamente son cambiados varios valores a travez del metodo selectHeightsByIndex
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Return:
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None
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"""
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if self.dataOutObj.flagNoData:
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return 0
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if (minHei < self.dataOutObj.heightList[0]) or (minHei > maxHei):
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raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei)
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if (maxHei > self.dataOutObj.heightList[-1]):
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raise ValueError, "some value in (%d,%d) is not valid" % (minHei, maxHei)
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minIndex = 0
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maxIndex = 0
|
|
|
data = self.dataOutObj.heightList
|
|
|
|
|
|
for i,val in enumerate(data):
|
|
|
if val < minHei:
|
|
|
continue
|
|
|
else:
|
|
|
minIndex = i;
|
|
|
break
|
|
|
|
|
|
for i,val in enumerate(data):
|
|
|
if val <= maxHei:
|
|
|
maxIndex = i;
|
|
|
else:
|
|
|
break
|
|
|
|
|
|
self.selectHeightsByIndex(minIndex, maxIndex)
|
|
|
|
|
|
|
|
|
def selectHeightsByIndex(self, minIndex, maxIndex):
|
|
|
"""
|
|
|
Selecciona un bloque de datos en base a un grupo indices de alturas segun el rango
|
|
|
minIndex <= index <= maxIndex
|
|
|
|
|
|
Input:
|
|
|
minIndex : valor minimo de altura a considerar
|
|
|
maxIndex : valor maximo de altura a considerar
|
|
|
|
|
|
Affected:
|
|
|
self.dataOutObj.data_spc
|
|
|
self.dataOutObj.data_cspc
|
|
|
self.dataOutObj.data_dc
|
|
|
self.dataOutObj.heightList
|
|
|
self.dataOutObj.nHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.numHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.blockSize
|
|
|
self.dataOutObj.m_ProcessingHeader.firstHeight
|
|
|
self.dataOutObj.m_RadarControllerHeader.numHeights
|
|
|
|
|
|
Return:
|
|
|
None
|
|
|
"""
|
|
|
|
|
|
if self.dataOutObj.flagNoData:
|
|
|
return 0
|
|
|
|
|
|
if (minIndex < 0) or (minIndex > maxIndex):
|
|
|
raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex)
|
|
|
|
|
|
if (maxIndex >= self.dataOutObj.nHeights):
|
|
|
raise ValueError, "some value in (%d,%d) is not valid" % (minIndex, maxIndex)
|
|
|
|
|
|
nChannels = self.dataOutObj.nChannels
|
|
|
nPairs = self.dataOutObj.nPairs
|
|
|
nProfiles = self.dataOutObj.nProfiles
|
|
|
dataType = self.dataOutObj.dataType
|
|
|
nHeights = maxIndex - minIndex + 1
|
|
|
blockSize = 0
|
|
|
|
|
|
#self spectra
|
|
|
spc = self.dataOutObj.data_spc[:,:,minIndex:maxIndex+1]
|
|
|
blockSize += spc.size
|
|
|
|
|
|
#cross spectra
|
|
|
cspc = None
|
|
|
if self.dataOutObj.data_cspc != None:
|
|
|
cspc = self.dataOutObj.data_cspc[:,:,minIndex:maxIndex+1]
|
|
|
blockSize += cspc.size
|
|
|
|
|
|
#DC channel
|
|
|
dc = self.dataOutObj.data_dc[:,minIndex:maxIndex+1]
|
|
|
blockSize += dc.size
|
|
|
|
|
|
self.dataOutObj.data_spc = spc
|
|
|
if cspc != None:
|
|
|
self.dataOutObj.data_cspc = cspc
|
|
|
self.dataOutObj.data_dc = dc
|
|
|
|
|
|
firstHeight = self.dataOutObj.heightList[minIndex]
|
|
|
|
|
|
self.dataOutObj.nHeights = nHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.blockSize = blockSize
|
|
|
self.dataOutObj.m_ProcessingHeader.numHeights = nHeights
|
|
|
self.dataOutObj.m_ProcessingHeader.firstHeight = firstHeight
|
|
|
self.dataOutObj.m_RadarControllerHeader.numHeights = nHeights
|
|
|
|
|
|
self.dataOutObj.heightList = self.dataOutObj.heightList[minIndex:maxIndex+1]
|
|
|
|
|
|
|
|
|
class IncoherentIntegration:
|
|
|
|
|
|
profCounter = 1
|
|
|
data = None
|
|
|
buffer = None
|
|
|
flag = False
|
|
|
nIncohInt = None
|
|
|
|
|
|
def __init__(self, N):
|
|
|
|
|
|
self.profCounter = 1
|
|
|
self.data = None
|
|
|
self.buffer = None
|
|
|
self.flag = False
|
|
|
self.nIncohInt = N
|
|
|
|
|
|
def exe(self,data):
|
|
|
|
|
|
if self.buffer == None:
|
|
|
self.buffer = data
|
|
|
else:
|
|
|
self.buffer = self.buffer + data
|
|
|
|
|
|
if self.profCounter == self.nIncohInt:
|
|
|
self.data = self.buffer
|
|
|
self.buffer = None
|
|
|
self.profCounter = 0
|
|
|
self.flag = True
|
|
|
else:
|
|
|
self.flag = False
|
|
|
|
|
|
self.profCounter += 1
|
|
|
|
|
|
|
