def filter_data(data, filter_name, filter_file, bits, filterbank_off=False,
swstat_channel_name=None):
'''
A naive function to determine if the filter was on at the time
and then filter the data.
'''
# if filterbank is off then return a time series of zeroes
if filterbank_off:
return numpy.zeros(len(data))
# loop over the 10 filters in the filterbank
for i in range(10):
# read the filter
filter = Filter(filter_file[filter_name][i])
# if bit is on then filter the data
bit = int(bits[-(i+1)])
if bit:
logging.info('filtering with filter module %d', i)
# if there are second-order sections then filter with them
if len(filter.sections):
data = filter.apply(data)
# else it is a filter with only gain so apply the gain
else:
try:
gain = float(filter.design.design.split(')')[0].strip('gain('))
except ValueError as e:
print 'ValueError', e, 'using gain of 1'
data = gain * data
return data
def filter_data(data,
filter_name,
filter_file,
bits,
filterbank_off=False,
swstat_channel_name=None):
'''
A naive function to determine if the filter was on at the time
and then filter the data.
'''
# if filterbank is off then return a time series of zeroes
if filterbank_off:
return numpy.zeros(len(data))
# loop over the 10 filters in the filterbank
for i in range(10):
# read the filter
filter = Filter(filter_file[filter_name][i])
# if bit is on then filter the data
bit = int(bits[-(i + 1)])
if bit:
logging.info('filtering with filter module %d', i)
# if there are second-order sections then filter with them
if len(filter.sections):
data = filter.apply(data)
# else it is a filter with only gain so apply the gain
else:
coeffs = iir2z(filter_file[filter_name][i])
if len(coeffs) > 1:
logging.info(
'Gain-only filter module return more than one number')
sys.exit()
gain = coeffs[0]
data = gain * data
return data
def filter_data(data, filter_name, filter_file, bits, filterbank_off=False,
swstat_channel_name=None):
'''
A naive function to determine if the filter was on at the time
and then filter the data.
'''
# if filterbank is off then return a time series of zeroes
if filterbank_off:
return numpy.zeros(len(data))
# loop over the 10 filters in the filterbank
for i in range(10):
# read the filter
filter = Filter(filter_file[filter_name][i])
# if bit is on then filter the data
bit = int(bits[-(i+1)])
if bit:
logging.info('filtering with filter module %d', i)
# if there are second-order sections then filter with them
if len(filter.sections):
data = filter.apply(data)
# else it is a filter with only gain so apply the gain
else:
coeffs = iir2z(filter_file[filter_name][i])
if len(coeffs) > 1:
logging.info('Gain-only filter module return more than one number')
sys.exit()
gain = coeffs[0]
data = gain * data
return data
