Fitting filters and transfer functions models¶
Deprecated since version 1.2.71: The package identification will be combined with the package deconvolution and renamed to model_estimation in the next major release 2.0.0. From version 1.4.1 on you should only use the new package Model estimation instead.
The package for now still contains the following modules:
PyDynamic.identification.fit_filter
: least-squares fit to a given complex frequency responsePyDynamic.identification.fit_transfer
: identification of transfer function models
Fitting filters to frequency response¶
Deprecated since version 1.2.71: The package identification will be combined with the package deconvolution and renamed to model_estimation in the next major release 2.0.0. From version 1.4.1 on you should only use the new package Model estimation instead.
This module contains several functions to carry out a least-squares fit to a given complex frequency response.
This module for now still contains the following functions:
LSIIR()
: Least-squares IIR filter fit to a given frequency responseLSFIR()
: Least-squares fit of a digital FIR filter to a given frequency response
Identification of transfer function models¶
Deprecated since version 1.2.71: The package identification will be combined with the package deconvolution and renamed to model_estimation in the next major release 2.0.0. From version 1.4.1 on you should only use the new package Model estimation instead.
The module PyDynamic.identification.fit_transfer
contains several functions
for the identification of transfer function models.
This module for now still contains the following function:
fit_sos()
: Fit second-order model to complex-valued frequency response