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Se agregó la opción de shift al calcular la transformada de Fourier
Se agregó la opción de shift al calcular la transformada de Fourier

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JROHeader.py
481 lines | 16.1 KiB | text/x-python | PythonLexer
'''
Created on 23/01/2012
@author $Author: vsarmiento $
@version $Id: HeaderIO.py 37 2012-03-26 22:55:13Z vsarmiento $
'''
import numpy
import copy
class Header:
def __init__(self):
raise
def copy(self):
return copy.deepcopy(self)
def read():
pass
def write():
pass
class BasicHeader(Header):
size = None
version = None
dataBlock = None
utc = None
miliSecond = None
timeZone = None
dstFlag = None
errorCount = None
struct = None
def __init__(self):
self.size = 0
self.version = 0
self.dataBlock = 0
self.utc = 0
self.miliSecond = 0
self.timeZone = 0
self.dstFlag = 0
self.errorCount = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nVersion','<u2'),
('nDataBlockId','<u4'),
('nUtime','<u4'),
('nMilsec','<u2'),
('nTimezone','<i2'),
('nDstflag','<i2'),
('nErrorCount','<u4')
])
def read(self, fp):
try:
header = numpy.fromfile(fp, self.struct,1)
self.size = header['nSize'][0]
self.version = header['nVersion'][0]
self.dataBlock = header['nDataBlockId'][0]
self.utc = header['nUtime'][0]
self.miliSecond = header['nMilsec'][0]
self.timeZone = header['nTimezone'][0]
self.dstFlag = header['nDstflag'][0]
self.errorCount = header['nErrorCount'][0]
except:
return 0
return 1
def write(self, fp):
headerTuple = (self.size,self.version,self.dataBlock,self.utc,self.miliSecond,self.timeZone,self.dstFlag,self.errorCount)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
return 1
class SystemHeader(Header):
size = None
numSamples = None
numProfiles = None
numChannels = None
adcResolution = None
pciDioBusWidth = None
struct = None
def __init__(self):
self.size = 0
self.numSamples = 0
self.numProfiles = 0
self.numChannels = 0
self.adcResolution = 0
self.pciDioBusWidth = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nNumSamples','<u4'),
('nNumProfiles','<u4'),
('nNumChannels','<u4'),
('nADCResolution','<u4'),
('nPCDIOBusWidth','<u4'),
])
def read(self, fp):
try:
header = numpy.fromfile(fp,self.struct,1)
self.size = header['nSize'][0]
self.numSamples = header['nNumSamples'][0]
self.numProfiles = header['nNumProfiles'][0]
self.numChannels = header['nNumChannels'][0]
self.adcResolution = header['nADCResolution'][0]
self.pciDioBusWidth = header['nPCDIOBusWidth'][0]
except:
return 0
return 1
def write(self, fp):
headerTuple = (self.size,self.numSamples,self.numProfiles,self.numChannels,self.adcResolution,self.pciDioBusWidth)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
return 1
class RadarControllerHeader(Header):
size = None
expType = None
nTx = None
ipp = None
txA = None
txB = None
numWindows = None
numTaus = None
codeType = None
line6Function = None
line5Function = None
fClock = None
prePulseBefore = None
prePulserAfter = None
rangeIpp = None
rangeTxA = None
rangeTxB = None
struct = None
def __init__(self):
self.size = 0
self.expType = 0
self.nTx = 0
self.ipp = 0
self.txA = 0
self.txB = 0
self.numWindows = 0
self.numTaus = 0
self.codeType = 0
self.line6Function = 0
self.line5Function = 0
self.fClock = 0
self.prePulseBefore = 0
self.prePulserAfter = 0
self.rangeIpp = 0
self.rangeTxA = 0
self.rangeTxB = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nExpType','<u4'),
('nNTx','<u4'),
('fIpp','<f4'),
('fTxA','<f4'),
('fTxB','<f4'),
('nNumWindows','<u4'),
('nNumTaus','<u4'),
('nCodeType','<u4'),
('nLine6Function','<u4'),
('nLine5Function','<u4'),
('fClock','<f4'),
('nPrePulseBefore','<u4'),
('nPrePulseAfter','<u4'),
('sRangeIPP','<a20'),
('sRangeTxA','<a20'),
('sRangeTxB','<a20'),
])
self.samplingWindowStruct = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')])
self.samplingWindow = None
self.numHeights = None
self.firstHeight = None
self.deltaHeight = None
self.samplesWin = None
self.numCode = None
self.numBaud = None
self.code = None
self.flip1 = None
self.flip2 = None
self.dynamic = numpy.array([],numpy.dtype('byte'))
def read(self, fp):
try:
startFp = fp.tell()
header = numpy.fromfile(fp,self.struct,1)
self.size = header['nSize'][0]
self.expType = header['nExpType'][0]
self.nTx = header['nNTx'][0]
self.ipp = header['fIpp'][0]
self.txA = header['fTxA'][0]
self.txB = header['fTxB'][0]
self.numWindows = header['nNumWindows'][0]
self.numTaus = header['nNumTaus'][0]
self.codeType = header['nCodeType'][0]
self.line6Function = header['nLine6Function'][0]
self.line5Function = header['nLine5Function'][0]
self.fClock = header['fClock'][0]
self.prePulseBefore = header['nPrePulseBefore'][0]
self.prePulserAfter = header['nPrePulseAfter'][0]
self.rangeIpp = header['sRangeIPP'][0]
self.rangeTxA = header['sRangeTxA'][0]
self.rangeTxB = header['sRangeTxB'][0]
# jump Dynamic Radar Controller Header
jumpFp = self.size - 116
self.dynamic = numpy.fromfile(fp,numpy.dtype('byte'),jumpFp)
#pointer backward to dynamic header and read
backFp = fp.tell() - jumpFp
fp.seek(backFp)
self.samplingWindow = numpy.fromfile(fp,self.samplingWindowStruct,self.numWindows)
self.numHeights = numpy.sum(self.samplingWindow['nsa'])
self.firstHeight = self.samplingWindow['h0']
self.deltaHeight = self.samplingWindow['dh']
self.samplesWin = self.samplingWindow['nsa']
self.Taus = numpy.fromfile(fp,'<f4',self.numTaus)
if self.codeType != 0:
self.numCode = numpy.fromfile(fp,'<u4',1)
self.numBaud = numpy.fromfile(fp,'<u4',1)
self.code = numpy.empty([self.numCode,self.numBaud],dtype='u1')
tempList = []
for ic in range(self.numCode):
temp = numpy.fromfile(fp,'u1',4*numpy.ceil(self.numBaud/32.))
tempList.append(temp)
self.code[ic] = numpy.unpackbits(temp[::-1])[-1*self.numBaud:]
self.code = 2.0*self.code - 1.0
if self.line5Function == RCfunction.FLIP:
self.flip1 = numpy.fromfile(fp,'<u4',1)
if self.line6Function == RCfunction.FLIP:
self.flip2 = numpy.fromfile(fp,'<u4',1)
endFp = self.size + startFp
jumpFp = endFp - fp.tell()
if jumpFp > 0:
fp.seek(jumpFp)
except:
return 0
return 1
def write(self, fp):
headerTuple = (self.size,
self.expType,
self.nTx,
self.ipp,
self.txA,
self.txB,
self.numWindows,
self.numTaus,
self.codeType,
self.line6Function,
self.line5Function,
self.fClock,
self.prePulseBefore,
self.prePulserAfter,
self.rangeIpp,
self.rangeTxA,
self.rangeTxB)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
dynamic = self.dynamic
dynamic.tofile(fp)
return 1
class ProcessingHeader(Header):
size = None
dataType = None
blockSize = None
profilesPerBlock = None
dataBlocksPerFile = None
numWindows = None
processFlags = None
coherentInt = None
incoherentInt = None
totalSpectra = None
struct = None
def __init__(self):
self.size = 0
self.dataType = 0
self.blockSize = 0
self.profilesPerBlock = 0
self.dataBlocksPerFile = 0
self.numWindows = 0
self.processFlags = 0
self.coherentInt = 0
self.incoherentInt = 0
self.totalSpectra = 0
self.struct = numpy.dtype([
('nSize','<u4'),
('nDataType','<u4'),
('nSizeOfDataBlock','<u4'),
('nProfilesperBlock','<u4'),
('nDataBlocksperFile','<u4'),
('nNumWindows','<u4'),
('nProcessFlags','<u4'),
('nCoherentIntegrations','<u4'),
('nIncoherentIntegrations','<u4'),
('nTotalSpectra','<u4')
])
self.samplingWindow = 0
self.structSamplingWindow = numpy.dtype([('h0','<f4'),('dh','<f4'),('nsa','<u4')])
self.numHeights = 0
self.firstHeight = 0
self.deltaHeight = 0
self.samplesWin = 0
self.spectraComb = 0
self.numCode = 0
self.code = 0
self.numBaud = 0
self.shif_fft = False
def read(self, fp):
try:
header = numpy.fromfile(fp,self.struct,1)
self.size = header['nSize'][0]
self.dataType = header['nDataType'][0]
self.blockSize = header['nSizeOfDataBlock'][0]
self.profilesPerBlock = header['nProfilesperBlock'][0]
self.dataBlocksPerFile = header['nDataBlocksperFile'][0]
self.numWindows = header['nNumWindows'][0]
self.processFlags = header['nProcessFlags']
self.coherentInt = header['nCoherentIntegrations'][0]
self.incoherentInt = header['nIncoherentIntegrations'][0]
self.totalSpectra = header['nTotalSpectra'][0]
self.samplingWindow = numpy.fromfile(fp,self.structSamplingWindow,self.numWindows)
self.numHeights = numpy.sum(self.samplingWindow['nsa'])
self.firstHeight = self.samplingWindow['h0']
self.deltaHeight = self.samplingWindow['dh']
self.samplesWin = self.samplingWindow['nsa']
self.spectraComb = numpy.fromfile(fp,'u1',2*self.totalSpectra)
if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE:
self.numCode = numpy.fromfile(fp,'<u4',1)
self.numBaud = numpy.fromfile(fp,'<u4',1)
self.code = numpy.fromfile(fp,'<f4',self.numCode*self.numBaud).reshape(self.numBaud,self.numCode)
if self.processFlags & PROCFLAG.SHIFT_FFT_DATA == PROCFLAG.SHIFT_FFT_DATA:
self.shif_fft = True
else:
self.shif_fft = False
except:
return 0
return 1
def write(self, fp):
headerTuple = (self.size,
self.dataType,
self.blockSize,
self.profilesPerBlock,
self.dataBlocksPerFile,
self.numWindows,
self.processFlags,
self.coherentInt,
self.incoherentInt,
self.totalSpectra)
header = numpy.array(headerTuple,self.struct)
header.tofile(fp)
if self.numWindows != 0:
sampleWindowTuple = (self.firstHeight,self.deltaHeight,self.samplesWin)
samplingWindow = numpy.array(sampleWindowTuple,self.structSamplingWindow)
samplingWindow.tofile(fp)
if self.totalSpectra != 0:
spectraComb = numpy.array([],numpy.dtype('u1'))
spectraComb = self.spectraComb
spectraComb.tofile(fp)
if self.processFlags & PROCFLAG.DEFINE_PROCESS_CODE == PROCFLAG.DEFINE_PROCESS_CODE:
numCode = self.numCode
numCode.tofile(fp)
numBaud = self.numBaud
numBaud.tofile(fp)
code = self.code.reshape(numCode*numBaud)
code.tofile(fp)
return 1
class RCfunction:
NONE=0
FLIP=1
CODE=2
SAMPLING=3
LIN6DIV256=4
SYNCHRO=5
class nCodeType:
NONE=0
USERDEFINE=1
BARKER2=2
BARKER3=3
BARKER4=4
BARKER5=5
BARKER7=6
BARKER11=7
BARKER13=8
AC128=9
COMPLEMENTARYCODE2=10
COMPLEMENTARYCODE4=11
COMPLEMENTARYCODE8=12
COMPLEMENTARYCODE16=13
COMPLEMENTARYCODE32=14
COMPLEMENTARYCODE64=15
COMPLEMENTARYCODE128=16
CODE_BINARY28=17
class PROCFLAG:
COHERENT_INTEGRATION = numpy.uint32(0x00000001)
DECODE_DATA = numpy.uint32(0x00000002)
SPECTRA_CALC = numpy.uint32(0x00000004)
INCOHERENT_INTEGRATION = numpy.uint32(0x00000008)
POST_COHERENT_INTEGRATION = numpy.uint32(0x00000010)
SHIFT_FFT_DATA = numpy.uint32(0x00000020)
DATATYPE_CHAR = numpy.uint32(0x00000040)
DATATYPE_SHORT = numpy.uint32(0x00000080)
DATATYPE_LONG = numpy.uint32(0x00000100)
DATATYPE_INT64 = numpy.uint32(0x00000200)
DATATYPE_FLOAT = numpy.uint32(0x00000400)
DATATYPE_DOUBLE = numpy.uint32(0x00000800)
DATAARRANGE_CONTIGUOUS_CH = numpy.uint32(0x00001000)
DATAARRANGE_CONTIGUOUS_H = numpy.uint32(0x00002000)
DATAARRANGE_CONTIGUOUS_P = numpy.uint32(0x00004000)
SAVE_CHANNELS_DC = numpy.uint32(0x00008000)
DEFLIP_DATA = numpy.uint32(0x00010000)
DEFINE_PROCESS_CODE = numpy.uint32(0x00020000)
ACQ_SYS_NATALIA = numpy.uint32(0x00040000)
ACQ_SYS_ECHOTEK = numpy.uint32(0x00080000)
ACQ_SYS_ADRXD = numpy.uint32(0x000C0000)
ACQ_SYS_JULIA = numpy.uint32(0x00100000)
ACQ_SYS_XXXXXX = numpy.uint32(0x00140000)
EXP_NAME_ESP = numpy.uint32(0x00200000)
CHANNEL_NAMES_ESP = numpy.uint32(0x00400000)
OPERATION_MASK = numpy.uint32(0x0000003F)
DATATYPE_MASK = numpy.uint32(0x00000FC0)
DATAARRANGE_MASK = numpy.uint32(0x00007000)
ACQ_SYS_MASK = numpy.uint32(0x001C0000)