def balance_signal(sig, balance_type="maxabs"):
"""
::
Perform signal balancing using:
rms - root mean square
max - maximum value
maxabs - maximum absolute value
norm - Euclidean norm
none - do nothing [default]
Returns:
sig - balanced (normalized) signal
"""
balance_types = ['rms', 'max', 'maxabs', 'norm', 'none']
if balance_type == balance_types[0]:
return sig / pylab.rms_flat(sig)
if balance_type == balance_types[1]:
return sig / sig.max()
if balance_type == balance_types[2]:
return sig / abs(sig).max()
if balance_type == balance_types[3]:
return sig / pylab.norm_flat(sig)
if balance_type == balance_types[4]:
return sig
raise TestSignalError("signal balancing type not supported: %s" %
balance_type)
def balance_signal(sig, balance_type="maxabs"):
"""
::
Perform signal balancing using:
rms - root mean square
max - maximum value
maxabs - maximum absolute value
norm - Euclidean norm
none - do nothing [default]
Returns:
sig - balanced (normalized) signal
"""
balance_types = ['rms', 'max', 'maxabs', 'norm', 'none']
if balance_type == balance_types[0]:
return sig / pylab.rms_flat(sig)
if balance_type == balance_types[1]:
return sig / sig.max()
if balance_type == balance_types[2]:
return sig / abs(sig).max()
if balance_type == balance_types[3]:
return sig / pylab.norm_flat(sig)
if balance_type == balance_types[4]:
return sig
raise TestSignalError(
"signal balancing type not supported: %s" % balance_type)