ASCEE/lasp
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Lots of things improved. Forgot to count, became big commit, excuse myself

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Anne de Jong 2018-07-17 11:52:02 +02:00 committed by J.A. de Jong - ASCEE
parent 3311e43ef5
commit e95b02ae9a
13 changed files with 395 additions and 178 deletions
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11
CMakeLists.txt
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@ -30,7 +30,7 @@ endif(LASP_FLOAT STREQUAL "double")
if(NOT DEFINED LASP_DEBUG)
message(SEND_ERROR "LASP_DEBUG flag not defined. Please set -DLASP_DEBUG=TRUE or -DLASP_DEBUG=FALSE")
message(FATAL_ERROR "LASP_DEBUG flag not defined. Please set -DLASP_DEBUG=TRUE or -DLASP_DEBUG=FALSE")
endif(NOT DEFINED LASP_DEBUG)
# ##################### END Cmake variables converted to a macro
@ -98,12 +98,6 @@ else()
set(win32 false)
endif(CMAKE_SYSTEM_NAME STREQUAL "Windows")
# If numpy cannot be found in the standard include path of the Python
if(DEFINED NUMPY_INCLUDE)
include_directories(${NUMPY_INCLUDE})
endif(DEFINED NUMPY_INCLUDE)
add_subdirectory(fftpack)
include_directories(
fftpack
@ -112,8 +106,6 @@ include_directories(
add_subdirectory(lasp)
add_subdirectory(test)
find_program(PYTHON "python")
if (PYTHON)
# set(SETUP_PY_IN "${CMAKE_CURRENT_SOURCE_DIR}/setup.py.in")
set(SETUP_PY "${CMAKE_CURRENT_BINARY_DIR}/setup.py")
@ -134,4 +126,3 @@ endif()
############################## End compiler settings

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img/LASP.pdf Normal file
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5
lasp/CMakeLists.txt
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@ -1,13 +1,12 @@
add_subdirectory(c)
configure_file(config.pxi.in config.pxi)
set(CMAKE_MODULE_PATH ${CMAKE_MODULE_PATH} "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
find_package(PythonLibs REQUIRED )
include(UseCython)
find_package(Numpy REQUIRED )
include_directories(
${PYTHON_NUMPY_INCLUDE_DIR}
.
c
)

41
lasp/cmake/FindNumpy.cmake Normal file
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@ -0,0 +1,41 @@
# Find the Python NumPy package
# PYTHON_NUMPY_INCLUDE_DIR
# PYTHON_NUMPY_FOUND
# will be set by this script
cmake_minimum_required(VERSION 2.6)
if(NOT PYTHON_EXECUTABLE)
if(NumPy_FIND_QUIETLY)
find_package(PythonInterp QUIET)
else()
find_package(PythonInterp)
set(__numpy_out 1)
endif()
endif()
if (PYTHON_EXECUTABLE)
# Find out the include path
execute_process(
COMMAND "${PYTHON_EXECUTABLE}" -c
"from __future__ import print_function\ntry: import numpy; print(numpy.get_include(), end='')\nexcept:pass\n"
OUTPUT_VARIABLE __numpy_path)
# And the version
execute_process(
COMMAND "${PYTHON_EXECUTABLE}" -c
"from __future__ import print_function\ntry: import numpy; print(numpy.__version__, end='')\nexcept:pass\n"
OUTPUT_VARIABLE __numpy_version)
elseif(__numpy_out)
message(STATUS "Python executable not found.")
endif(PYTHON_EXECUTABLE)
find_path(PYTHON_NUMPY_INCLUDE_DIR numpy/arrayobject.h
HINTS "${__numpy_path}" "${PYTHON_INCLUDE_PATH}" NO_DEFAULT_PATH)
if(PYTHON_NUMPY_INCLUDE_DIR)
set(PYTHON_NUMPY_FOUND 1 CACHE INTERNAL "Python numpy found")
endif(PYTHON_NUMPY_INCLUDE_DIR)
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(NumPy REQUIRED_VARS PYTHON_NUMPY_INCLUDE_DIR
VERSION_VAR __numpy_version)

2
lasp/filter/bandpass_fir.py
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@ -175,6 +175,8 @@ class ThirdOctaveBankDesigner(FilterBankDesigner):
'6.3k', '8k', '10k',
'12.5k', '16k', '20k']
assert len(self.xs) == len(self.nominal_txt)
@property
def b(self):
# Band division factor, 3 for one-third octave bands

89
lasp/lasp_measurement.py
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@ -35,6 +35,8 @@ The video dataset can possibly be not present in the data.
"""
__all__ = ['Measurement']
from contextlib import contextmanager
import h5py as h5
import numpy as np
from .lasp_config import LASP_NUMPY_FLOAT_TYPE
@ -47,7 +49,7 @@ class BlockIter:
Iterate over the blocks in the audio data of a h5 file
"""
def __init__(self, faudio):
def __init__(self, f):
"""
Initialize a BlockIter object
@ -55,8 +57,8 @@ class BlockIter:
faudio: Audio dataset in the h5 file, accessed as f['audio']
"""
self.i = 0
self.nblocks = faudio.shape[0]
self.fa = faudio
self.nblocks = f['audio'].shape[0]
self.fa = f['audio']
def __iter__(self):
return self
@ -121,14 +123,13 @@ class Measurement:
# Full filepath
self.fn = fn
# Base filename
self.fn_base = os.path.split(fn)[1]
# Open the h5 file in read-plus mode, to allow for changing the
# measurement comment.
f = h5.File(fn, 'r+')
self.f = f
with h5.File(fn, 'r+') as f:
# Check for video data
try:
f['video']
@ -146,30 +147,55 @@ class Measurement:
# comment = read-write thing
try:
self._comment = self.f.attrs['comment']
self._comment = f.attrs['comment']
except KeyError:
self.f.attrs['comment'] = ''
f.attrs['comment'] = ''
self._comment = ''
# Sensitivity
try:
self._sens = f.attrs['sensitivity']
except KeyError:
self._sens = np.ones(self.nchannels)
self._time = f.attrs['time']
@contextmanager
def file(self, mode='r'):
"""
Contextmanager which opens the storage file and yields the file.
Args:
mode: Opening mode for the file. Should either be 'r', or 'r+'
"""
if mode not in ('r','r+'):
raise ValueError('Invalid file opening mode.')
with h5.File(self.fn, mode) as f:
yield f
@property
def comment(self):
return self._comment
@comment.setter
def comment(self, cmt):
self.f.attrs['comment'] = cmt
with self.file('r+') as f:
f.attrs['comment'] = cmt
self._comment = cmt
@property
def recTime(self):
return (self.blocksize*self.nblocks)/self.samplerate
"""
Returns the total recording time of the measurement, in float seconds.
"""
return self.blocksize*self.nblocks/self.samplerate
@property
def time(self):
"""
Returns the measurement time in seconds since the epoch.
"""
return self.f.attrs['time']
return self._time
@property
def prms(self):
@ -186,7 +212,7 @@ class Measurement:
except AttributeError:
pass
sens = self.sensitivity
sens = self._sens
pms = 0.
for block in self.iterBlocks():
pms += np.sum(block/sens[np.newaxis, :], axis=0)**2/self.N
@ -198,13 +224,14 @@ class Measurement:
Returns the raw uncalibrated data, converted to floating point format.
"""
if block is not None:
blocks = self.f['audio'][block]
with self.file() as f:
blocks = f['audio'][block]
else:
blocks = []
for block in self.iterBlocks():
with self.file() as f:
for block in self.iterBlocks(f):
blocks.append(block)
blocks = np.asarray(blocks)
blocks = blocks.reshape(self.nblocks*self.blocksize,
self.nchannels)
@ -220,13 +247,19 @@ class Measurement:
else:
raise RuntimeError(
f'Unimplemented data type from recording: {blocks.dtype}.')
sens = self.sensitivity
sens = self._sens
blocks = blocks.astype(LASP_NUMPY_FLOAT_TYPE)/fac/sens[np.newaxis, :]
return blocks
def iterBlocks(self):
return BlockIter(self.f['audio'])
def iterBlocks(self, opened_file):
"""
Iterate over all the audio blocks in the opened file
Args:
opened_file: The h5File with the data
"""
return BlockIter(opened_file)
@property
def sensitivity(self):
@ -235,10 +268,7 @@ class Measurement:
between -1.0 and 1.0 to Pascal. If the sensitivity is not stored in
the measurement file, this function returns 1.0
"""
try:
return self.f.attrs['sensitivity']
except KeyError:
return np.ones(self.nchannels)
return self._sens
@sensitivity.setter
def sensitivity(self, sens):
@ -257,8 +287,8 @@ class Measurement:
valid &= isinstance(sens.dtype, float)
if not valid:
raise ValueError('Invalid sensitivity value(s) given')
self.f.attrs['sensitivity'] = sens
with self.file('r+') as f:
f.attrs['sensitivity'] = sens
def exportAsWave(self, fn=None, force=False, sampwidth=None):
"""
@ -286,8 +316,8 @@ class Measurement:
if os.path.exists(fn) and not force:
raise RuntimeError(f'File already exists: {fn}')
audio = self.f['audio']
with self.file() as f:
audio = self.f['audio'][:]
if isinstance(audio.dtype, float):
if sampwidth is None:
@ -373,8 +403,5 @@ class Measurement:
ad[0] = dat
return Measurement(mfn)
def __del__(self):
try:
self.f.close()
except AttributeError:
pass
# def __del__(self):
# self.f.close()

44
lasp/lasp_octavefilter.py
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@ -17,21 +17,19 @@ class FilterBank:
Single channel octave filter bank implementation
"""
def __init__(self, fs, designer):
def __init__(self, fs):
"""
Initialize a OctaveFilterBank object.
Args:
fs: Sampling frequency of base signal
designer: FIR Filter designer for filterbank
"""
assert np.isclose(fs, 48000), "Only sampling frequency" \
" available is 48 kHz"
self.fs = fs
maxdecimation = designer.decimation(designer.xs[0])
maxdecimation = self.decimation(self.xs[0])
self.decimators = []
for dec in maxdecimation:
self.decimators.append(Decimator(1, dec))
@ -44,8 +42,8 @@ class FilterBank:
self.filterbanks = []
# Sort the x values in categories according to the required decimation
for x in designer.xs:
dec = designer.decimation(x)
for x in self.xs:
dec = self.decimation(x)
if len(dec) == 1 and dec[0] == 1:
xs_d1.append(x)
elif len(dec) == 1 and dec[0] == 4:
@ -62,12 +60,12 @@ class FilterBank:
xs_all = [xs_d1, xs_d4, xs_d16, xs_d64, xs_d256]
for xs in xs_all:
nominals = []
firs = np.empty((designer.L, len(xs)), order='F')
firs = np.empty((self.L, len(xs)), order='F')
for i, x in enumerate(xs):
# These are the filters that do not require lasp_decimation
# prior to filtering
nominals.append(designer.nominal(x))
firs[:, i] = designer.createFilter(fs, x)
nominals.append(self.nominal(x))
firs[:, i] = self.createFilter(fs, x)
filterbank = {'fb': pyxFilterBank(firs, 1024),
'xs': xs,
'nominals': nominals}
@ -78,16 +76,10 @@ class FilterBank:
# Filter output counters
self.dec = [1, 4, 16, 64, 256]
Pdec = 128
Pfil = 256
# Initial filtered number
self.Nf = [-Pfil, -(Pdec/4 + Pfil),
-(Pfil + Pdec/4 + Pdec/16),
-(Pfil + Pdec/64 + Pdec/4 + Pdec/16),
-(Pfil + Pdec/256 + Pdec/64 + Pdec/4 + Pdec/16)]
self.delay_set = [False, False, False, False, False]
# These intial delays are found experimentally using a toneburst
# response.
self.Nf = [915, 806, 780, 582, 338]
def filterd(self, dec_stage, data):
"""
@ -110,10 +102,12 @@ class FilterBank:
oldNf = self.Nf[dec_stage]
tstart = oldNf/fd
tend = tstart + Nf/fd
t = np.linspace(tstart, tend, Nf, endpoint=False)
self.Nf[dec_stage] += Nf
for i, nom in enumerate(self.filterbanks[dec_stage]['nominals']):
output[nom] = {'t': t, 'data': filtered[:, i]}
output[nom] = {'t': t, 'data': filtered[:, [i]]}
return output
def filter_(self, data):
@ -142,13 +136,13 @@ class FilterBank:
return output
class OctaveFilterBank(FilterBank):
class OctaveFilterBank(FilterBank, OctaveBankDesigner):
def __init__(self, fs):
designer = OctaveBankDesigner()
super().__init__(fs, designer)
OctaveBankDesigner.__init__(self)
FilterBank.__init__(self, fs)
class ThirdOctaveFilterBank(FilterBank):
class ThirdOctaveFilterBank(FilterBank, ThirdOctaveBankDesigner):
def __init__(self, fs):
designer = ThirdOctaveBankDesigner()
super().__init__(fs, designer)
ThirdOctaveBankDesigner.__init__(self)
FilterBank.__init__(self, fs)

3
lasp/lasp_reverb.py
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@ -24,7 +24,8 @@ class ReverbTime:
dB.
"""
assert level.ndim == 1, 'Invalid number of dimensions in level'
assert level.ndim == 2, 'Invalid number of dimensions in level'
assert level.shape[1] == 1,'Invalid number of channels, should be 1'
self._level = level
# Number of time samples
self._N = self._level.shape[0]

271
lasp/lasp_slm.py
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@ -14,7 +14,8 @@ from .lasp_weighcal import WeighCal
from .lasp_gui_tools import wait_cursor
from .lasp_figure import PlotOptions, Plotable
from .ui_slmwidget import Ui_SlmWidget
from .filter.bandpass_fir import OctaveBankDesigner, ThirdOctaveBankDesigner
from .lasp_octavefilter import OctaveFilterBank, ThirdOctaveFilterBank
__all__ = ['SLM', 'SlmWidget']
@ -29,30 +30,39 @@ class Dummy:
class SLM:
"""
Sound Level Meter, implements the single pole lowpass filter
Multi-channel sound Level Meter. Input data: time data with a certain
sampling frequency. Output: time-weighted (fast/slow) sound pressure
levels in dB(A/C/Z).
"""
def __init__(self, fs, weighcal,
tw=TimeWeighting.default,
):
def __init__(self, fs, tw=TimeWeighting.default):
"""
Initialize a sound level meter object. Number of channels comes from
the weighcal object
Initialize a sound level meter object.
Number of channels comes from the weighcal object.
Args:
fs: Sampling frequency [Hz]
weighcal: WeighCal instance used for calibration and frequency
weighting.
nchannels: Number of channels to allocate filters for
tw: Time Weighting to apply
"""
nchannels = weighcal.nchannels
self.nchannels = nchannels
self._weighcal = weighcal
if tw[0] is not TimeWeighting.none[0]:
self._lps = [SPLowpass(fs, tw[0]) for i in range(nchannels)]
self._lp = SPLowpass(fs, tw[0])
else:
self._lps = [Dummy() for i in range(nchannels)]
self._Lmax = zeros(nchannels)
self._lp = Dummy()
self._Lmax = 0.
# Storage for computing the equivalent level
self._sq = 0.
self._N = 0
self._Leq = 0.
@property
def Leq(self):
"""
Returns the equivalent level of the recorded signal so far
"""
return self._Leq
@property
def Lmax(self):
@ -68,26 +78,26 @@ class SLM:
Args:
data:
"""
if data.ndim == 1:
data = data[:, np.newaxis]
assert data.ndim == 2
assert data.shape[1] == 1
data_weighted = self._weighcal.filter_(data)
P_REFsq = P_REF**2
# Squared
sq = data_weighted**2
if sq.shape[0] == 0:
return np.array([])
sq = data**2
tw = []
# Update equivalent level
N1 = sq.shape[0]
self._sq = (np.sum(sq) + self._sq*self._N)/(N1+self._N)
self._N += N1
self._Leq = 10*np.log10(self._sq/P_REFsq)
# Time-weight the signal
for chan, lp in enumerate(self._lps):
tw.append(lp.filter_(sq[:, chan])[:, 0])
tw = self._lp.filter_(sq)
tw = np.asarray(tw).transpose()
Level = 10*np.log10(tw/P_REF**2)
Level = 10*np.log10(tw/P_REFsq)
# Update maximum level
curmax = np.max(Level)
if curmax > self._Lmax:
self._Lmax = curmax
@ -103,8 +113,8 @@ class SlmWidget(ComputeWidget, Ui_SlmWidget):
super().__init__(parent)
self.setupUi(self)
FreqWeighting.fillComboBox(self.tfreqweighting)
FreqWeighting.fillComboBox(self.eqfreqweighting)
self.eqFreqBandChanged(0)
self.tFreqBandChanged(0)
self.setMeas(None)
def init(self, fm):
@ -115,6 +125,9 @@ class SlmWidget(ComputeWidget, Ui_SlmWidget):
fm.registerCombo(self.tfigure)
fm.registerCombo(self.eqfigure)
self.tbandstart.setEnabled(False)
self.tbandstop.setEnabled(False)
def setMeas(self, meas):
"""
Set the current measurement for this widget.
@ -151,16 +164,33 @@ class SlmWidget(ComputeWidget, Ui_SlmWidget):
channel = self.eqchannel.currentIndex()
fw = FreqWeighting.getCurrent(self.eqfreqweighting)
startpos = self.eqstarttime.value
stoppos = self.eqstoptime.value
N = meas.N
istart = int(startpos*fs)
if istart >= N:
raise ValueError("Invalid start position")
istop = int(stoppos*fs)
if istart > N:
raise ValueError("Invalid stop position")
istart, istop = self.getStartStopIndices(meas, self.eqstarttime,
self.eqstoptime)
bands = self.eqfreqband.currentIndex()
if bands == 0:
# 1/3 Octave bands
filt = ThirdOctaveFilterBank(fs)
xs = filt.xs
xmin = xs[0] + self.eqbandstart.currentIndex()
xmax = xs[0] + self.eqbandstop.currentIndex()
if bands == 1:
# Octave bands
filt = OctaveFilterBank(fs)
xs = filt.xs
xmin = xs[0] + self.eqbandstart.currentIndex()
xmax = xs[0] + self.eqbandstop.currentIndex()
leveltype = self.eqleveltype.currentIndex()
if leveltype == 0:
# equivalent levels
tw = TimeWeighting.fast
elif leveltype == 1:
# fast time weighting
tw = TimeWeighting.fast
elif leveltype == 2:
# slow time weighting
tw = TimeWeighting.slow
with wait_cursor():
# This one exctracts the calfile and sensitivity from global
@ -170,8 +200,28 @@ class SlmWidget(ComputeWidget, Ui_SlmWidget):
fs=fs, calfile=calfile,
sens=sens)
praw = meas.praw()[istart:istop, [channel]]
pto = PlotOptions()
weighted = weighcal.filter_(praw)
filtered_out = filt.filter_(weighted)
levels = np.empty((xmax - xmin + 1))
xlabels = []
for i, x in enumerate(range(xmin, xmax+1)):
nom = filt.nominal(x)
xlabels.append(nom)
filt_x = filtered_out[nom]['data']
slm = SLM(filt.fs, tw)
slm.addData(filt_x)
if leveltype > 0:
level = slm.Lmax
else:
level = slm.Leq
levels[i] = level
pto = PlotOptions.forLevelBars()
pta = Plotable(xlabels, levels)
fig, new = self.getFigure(self.eqfigure, pto, 'bar')
fig.fig.add(pta)
fig.show()
def computeT(self):
@ -184,46 +234,95 @@ class SlmWidget(ComputeWidget, Ui_SlmWidget):
tw = TimeWeighting.getCurrent(self.ttimeweighting)
fw = FreqWeighting.getCurrent(self.tfreqweighting)
istart, istop = self.getStartStopIndices(meas, self.tstarttime,
self.tstoptime)
bands = self.tfreqband.currentIndex()
if bands == 0:
# Overall
filt = Dummy()
else:
# Octave bands
filt = OctaveFilterBank(
fs) if bands == 1 else ThirdOctaveFilterBank(fs)
xs = filt.xs
xmin = xs[0] + self.tbandstart.currentIndex()
xmax = xs[0] + self.tbandstop.currentIndex()
# Downsampling factor of result
dsf = self.tdownsampling.value()
# gb = self.slmFre
with wait_cursor():
# This one exctracts the calfile and sensitivity from global
# variables defined at the top. # TODO: Change this to a more
# robust variant.
praw = meas.praw()[istart:istop, [channel]]
weighcal = WeighCal(fw, nchannels=1,
fs=fs, calfile=calfile,
sens=sens)
slm = SLM(fs, weighcal, tw)
praw = meas.praw()[:, [channel]]
weighted = weighcal.filter_(praw)
if bands == 0:
slm = SLM(fs, tw)
level = slm.addData(weighted)[::dsf]
# Filter, downsample data
filtered = slm.addData(praw)[::dsf, :]
N = filtered.shape[0]
N = level.shape[0]
time = getTime(float(fs)/dsf, N)
Lmax = slm.Lmax
pta = Plotable(time, level,
name=f'Overall level [dB([fw[0]])]')
pto = PlotOptions()
pto.ylabel = f'L{fw[0]} [dB({fw[0]})]'
pto.xlim = (time[0], time[-1])
pta = Plotable(time, filtered)
fig, new = self.getFigure(self.tfigure, pto, 'line')
fig.fig.add(pta)
else:
pto = PlotOptions()
fig, new = self.getFigure(self.tfigure, pto, 'line')
pto.ylabel = f'L{fw[0]} [dB({fw[0]})]'
out = filt.filter_(weighted)
tmin = 0
tmax = 0
for x in range(xmin, xmax+1):
dec = np.prod(filt.decimation(x))
fd = filt.fs/dec
# Nominal frequency text
nom = filt.nominal(x)
leg = f'{nom} Hz - [dB({fw[0]})]'
# Find global tmin and tmax, used for xlim
time = out[nom]['t']
tmin = min(tmin, time[0])
tmax = max(tmax, time[-1])
slm = SLM(fd, tw)
level = slm.addData(out[nom]['data'])
plotable = Plotable(time[::dsf//dec],
level[::dsf//dec],
name=leg)
fig.fig.add(plotable)
pto.xlim = (tmin, tmax)
fig.fig.setPlotOptions(pto)
fig.show()
stats = f"""Statistical results:
=============================
Applied frequency weighting: {fw[1]}
Applied time weighting: {tw[1]}
Applied Downsampling factor: {dsf}
Maximum level (L{fw[0]} max): {Lmax:4.4} [dB({fw[0]})]
"""
self.results.setPlainText(stats)
# stats = f"""Statistical results:
# =============================
# Applied frequency weighting: {fw[1]}
# Applied time weighting: {tw[1]}
# Applied Downsampling factor: {dsf}
# Maximum level (L{fw[0]} max): {Lmax:4.4} [dB({fw[0]})]
#
# """
# self.results.setPlainText(stats)
def compute(self):
"""
@ -234,3 +333,61 @@ Maximum level (L{fw[0]} max): {Lmax:4.4} [dB({fw[0]})]
self.computeT()
elif self.eqtab.isVisible():
self.computeEq()
def eqFreqBandChanged(self, idx):
"""
User changes frequency bands to plot time-dependent values for
"""
self.eqbandstart.clear()
self.eqbandstop.clear()
if idx == 1:
# 1/3 Octave bands
o = OctaveBankDesigner()
for x in o.xs:
nom = o.nominal(x)
self.eqbandstart.addItem(nom)
self.eqbandstop.addItem(nom)
self.eqbandstart.setCurrentIndex(0)
self.eqbandstop.setCurrentIndex(len(o.xs)-1)
elif idx == 0:
# Octave bands
o = ThirdOctaveBankDesigner()
for x in o.xs:
nom = o.nominal(x)
self.eqbandstart.addItem(nom)
self.eqbandstop.addItem(nom)
self.eqbandstart.setCurrentIndex(2)
self.eqbandstop.setCurrentIndex(len(o.xs) - 3)
def tFreqBandChanged(self, idx):
"""
User changes frequency bands to plot time-dependent values for
"""
self.tbandstart.clear()
self.tbandstop.clear()
enabled = False
if idx == 1:
# Octave bands
enabled = True
o = OctaveBankDesigner()
for x in o.xs:
nom = o.nominal(x)
self.tbandstart.addItem(nom)
self.tbandstop.addItem(nom)
self.tbandstart.setCurrentIndex(2)
self.tbandstop.setCurrentIndex(len(o.xs)-1)
elif idx == 2:
# Octave bands
enabled = True
o = ThirdOctaveBankDesigner()
for x in o.xs:
nom = o.nominal(x)
self.tbandstart.addItem(nom)
self.tbandstop.addItem(nom)
self.tbandstart.setCurrentIndex(2)
self.tbandstop.setCurrentIndex(len(o.xs) - 3)
self.tbandstart.setEnabled(enabled)
self.tbandstop.setEnabled(enabled)

25
lasp/lasp_weighcal.py
View File

@ -4,9 +4,9 @@
Weighting and calibration filter in one
@author: J.A. de Jong - ASCEE
"""
from .filter_design.freqweighting_fir import A,C
from .filter.freqweighting_fir import A, C
from .lasp_common import FreqWeighting
from .filter_design.fir_design import (arbitrary_fir_design,
from .filter.fir_design import (arbitrary_fir_design,
freqResponse as frp)
from lasp.lasp_config import ones, empty
from .wrappers import FilterBank
@ -17,7 +17,7 @@ __all__ = ['WeighCal']
class WeighCal:
"""
Time weighting and calibration FIR filter
Frequency weighting and calibration FIR filter
"""
def __init__(self, fw=FreqWeighting.default,
nchannels=1,
@ -48,15 +48,17 @@ class WeighCal:
# Objective function for the frequency response
frp_obj = self.frpObj(freq_design)
self._firs = []
P = 2048 # Filter length (number of taps)
self._firs = np.empty((P, self.nchannels))
self._fbs = []
for chan in range(self.nchannels):
fir = arbitrary_fir_design(fs, 2048, freq_design,
fir = arbitrary_fir_design(fs, P, freq_design,
frp_obj[:, chan],
window='rectangular')
self._firs.append(fir)
self._firs[:, chan] = fir
self._fbs.append(FilterBank(fir[:, np.newaxis], 4096))
self._fbs.append(FilterBank(fir[:, np.newaxis], 2*P))
self._freq_design = freq_design
@ -66,22 +68,21 @@ class WeighCal:
Args:
data: (Weighted) raw time data that needs to be filtered, should
have the same number of columns as the number of channels, or should
have dimension 1 in case of a single channel.
have the same number of columns as the number of channels. First
axis is assumed to be the time axis
Retuns:
Filtered data for each channel
"""
nchan = self.nchannels
if data.ndim == 1:
data = data[:, np.newaxis]
assert data.ndim == 2
assert data.shape[1] == nchan
assert data.shape[0] > 0
filtered = []
for chan in range(nchan):
filtered.append(self._fbs[chan].filter_(data[:, chan])[:, 0])
filtered.append(self._fbs[chan].filter_(data[:, [chan]])[:, 0])
filtered = np.asarray(filtered).transpose()/self.sens
if filtered.ndim == 1:
filtered = filtered[:, np.newaxis]

12
lasp/plot/bar.py
View File

@ -55,10 +55,15 @@ class BarScene(QGraphicsScene):
xvals: labels and x positions of the bars
G: Number of bars per x value
ylim: y limits of the figure
xlabel: label below x-axis
ylabel: label on left side of the y-axis
title: figure title
colors: color cycler
size: size of the plot in pixels
legend: list of legend strings to show.
"""
super().__init__(parent=parent)
self.setSceneRect(QRect(0,0,*size))
# self.setBackgroundBrush(ASCEEColors.bgBrush(0, size[0]))
self.ylim = ylim
@ -68,8 +73,7 @@ class BarScene(QGraphicsScene):
self.bgs = []
self.size = size
xsize = size[0]
ysize = size[1]
xsize, ysize = size
self.xsize = xsize
self.ysize = ysize

5
lasp/wrappers.pyx
View File

@ -377,12 +377,13 @@ cdef class SPLowpass:
if self.lp:
SPLowpass_free(self.lp)
def filter_(self,d[:] input_):
def filter_(self,d[::1,:] input_):
assert input_.shape[1] == 1
if input_.shape[0] == 0:
return np.array([],dtype=NUMPY_FLOAT_TYPE)
cdef vd input_vd = dmat_foreign_data(input_.shape[0],1,
&input_[0],False)
&input_[0,0],False)
cdef dmat output = SPLowpass_filter(self.lp,&input_vd)

3
setup.py
View File

@ -16,9 +16,8 @@ setup(
author_email="j.a.dejong@ascee.nl",
# Project uses reStructuredText, so ensure that the docutils get
# installed or upgraded on the target machine
install_requires=['matplotlib>=1.0', 'scipy>=0.17', 'numpy>=1.0'],
install_requires=['matplotlib>=1.0', 'scipy>=1.0', 'numpy>=1.0'],
license='MIT',
description=descr,
keywords="",
url="http://www.ascee.nl/lasp/", # project home page, if any