pydsm.NTFdesign.legacy.quantization_noise_gain_by_conv¶
- pydsm.NTFdesign.legacy.quantization_noise_gain_by_conv(NTF, H, H_type='zpk', db=80)¶
Legacy version of NTFDesign.quantization_noise_gain()
Computes the quantization noise power gain, based on a convolution
Parameters: NTF : tuple
NTF definition in zpk or nd form
H : tuple or array_like
output filter definition in zpk or nd form if H_type=’zpk’ or ‘ba’ (in this case, H is a tuple with 3 or 2 entries); output filter impulse response if H_type=’imp’ (in this case, H is an array)
H_type : str
type of specification for parameter H. One of: ‘zpk’, ‘ba’, or ‘imp’
db : real
a precision hint for the computation of impulse responses
Returns: a : real
noise power gain
Notes
The computation is practiced as the sum of the squared entries in the impulse response of the cascaded filter NTF*H