PolyFit

Defined in module: wield.control.fitting.SISO.fitters_rational.rational_attributes.PolyFit

class PolyFit(_args=None, copy=None, lightweight=True, **kwargs)[source][github]

Bases: DataFilterBase

__init__(_args=None, copy=None, lightweight=True, **kwargs)[github]

Methods

__init__([_args, copy, lightweight])

add_copier([name, func])

add_generator([name, func, autodeps, clear])

add_gensetter([name, func, autodeps, clear])

add_setter([name, func, autodeps, clear])

clear(name)

copy([lightweight])

deco_copier([name])

deco_generator([name])

deco_gensetter([name])

deco_setter([name])

dependencies(*args)

dependencies_for(name, *args)

get_default(name, default)

get_raw(name[, default])

phi_Snative_rep(rB)

phi_coeff_norm(pvec)

phi_gain_adj_pvec(pvec)

phi_gain_adj_roots(rB)

phi_native_rep_lnG(rB)

function mapping roots from native domain (S) to fit representation domain outputs both the remapped roots, as well as the lnG adjustment

phi_rep(F_Hz)

function mapping data frequencies from frequency domain to fit domain

phi_rep_Snative(rB)

Maps the internal representation to Snative, the output RootBunch can have a specialty constraint added.

phi_rep_native_lnG(rB)

function mapping roots to native domain (S) from fit representation domain outputs both the remapped roots, as well as the lnG adjustment

set_raw(name, val[, setter, autodep])

xfer_eval(F_Hz)

Attributes

A_p

A_pz

A_z

A_zp

F_max_Hz

RBalgo

TAG_NO_SET

V_a

V_b

X_grid

ZPKrep

a_vec

b_vec

data_effective

gain

h_a

h_b

h_delay

lnG

order

order_relative

order_sos

phase_missing

poles

poles_overlay

poly

residuals

residuals_average

root_constraint

roots_split_strict

stabilize_method

xfer_fit

zeros

zeros_overlay

phase_missing = False[github]
poly = None[github]
roots_split_strict = False[github]
stabilize_method = 'flip'[github]
lnG[github]
gain[github]
a_vec[github]
b_vec[github]
zeros[github]
poles[github]
zeros_overlay[github]
poles_overlay[github]
V_b[github]
V_a[github]
h_delay[github]
h_a[github]
h_b[github]
data_effective[github]
xfer_fit[github]
residuals[github]
residuals_average[github]
A_z[github]
A_zp[github]
A_p[github]
A_pz[github]
F_max_Hz[github]
RBalgo = <wield.control.fitting.SISO.representations.root_bunch.root_bunch.RBAlgorithms object>[github]
TAG_NO_SET = ("Don't Set the value", <class 'Exception'>)[github]
X_grid[github]
ZPKrep[github]
add_copier(name=None, func=None)[github]
add_generator(name=None, func=None, autodeps=True, clear=True)[github]
add_gensetter(name=None, func=None, autodeps=True, clear=True)[github]
add_setter(name=None, func=None, autodeps=True, clear=True)[github]
clear(name)[github]
copy(lightweight=True)[github]
deco_copier(name=None, **kwargs)[github]
deco_generator(name=None, **kwargs)[github]
deco_gensetter(name=None, **kwargs)[github]
deco_setter(name=None, **kwargs)[github]
dependencies(*args)[github]
dependencies_for(name, *args)[github]
get_default(name, default)[github]
get_raw(name, default=('NOARG', <function <lambda>>))[github]
order[github]
order_relative[github]
order_sos[github]
phi_Snative_rep(rB)[github]
phi_coeff_norm(pvec)[github]
phi_gain_adj_pvec(pvec)[github]
phi_gain_adj_roots(rB)[github]
phi_native_rep_lnG(rB)[github]

function mapping roots from native domain (S) to fit representation domain outputs both the remapped roots, as well as the lnG adjustment

phi_rep(F_Hz)[github]

function mapping data frequencies from frequency domain to fit domain

phi_rep_Snative(rB)[github]

Maps the internal representation to Snative, the output RootBunch can have a specialty constraint added.

phi_rep_native_lnG(rB)[github]

function mapping roots to native domain (S) from fit representation domain outputs both the remapped roots, as well as the lnG adjustment

root_constraint = frozenset({'mirror_real'})[github]
set_raw(name, val, setter=None, autodep=None)[github]
xfer_eval(F_Hz)[github]