network (`skrf.network`)¶

Provides a n-port network class and associated functions.

Most of the functionality in this module is provided as methods and properties of the Network Class.

Network Class¶

Network([file, name, comments, f_unit]) A n-port electrical network [#]_.

`connect`(ntwkA, k, ntwkB, l[, num])	connect two n-port networks together.
`innerconnect`(ntwkA, k, l[, num])	connect ports of a single n-port network.
`cascade`(ntwkA, ntwkB)	Cascade two 2-port Networks together
`de_embed`(ntwkA, ntwkB)	De-embed ntwkA from ntwkB.
`flip`(a)	invert the ports of a networks s-matrix, ‘flipping’ it over

`Network.resample`(npoints, **kwargs)	Interpolate network based on a new number of frequency points
`Network.interpolate`(new_frequency, **kwargs)	Return an interpolated network, from a new :class:’~skrf.frequency.Frequency’.
`Network.interpolate_self`(new_frequency, **kwargs)	Interpolates s-parameters given a new
`Network.interpolate_from_f`(f[, interp_kwargs])	Interpolates s-parameters from a frequency vector.
`stitch`(ntwkA, ntwkB, **kwargs)	Stitches ntwkA and ntwkB together.

`skrf.io.general.read`(file, args, *kwargs)	Read skrf object[s] from a pickle file
`skrf.io.general.write`(file, obj[, overwrite])	Write skrf object[s] to a file
`Network.write`([file])	Write the Network to disk using the `pickle` module.
`Network.write_touchstone`([filename, dir, ...])	write a contents of the `Network` to a touchstone file.
`Network.read`(args, *kwargs)	Read a Network from a ‘ntwk’ file

`Network.add_noise_polar`(mag_dev, phase_dev, ...)	adds a complex zero-mean gaussian white-noise.
`Network.add_noise_polar_flatband`(mag_dev, ...)	adds a flatband complex zero-mean gaussian white-noise signal of
`Network.multiply_noise`(mag_dev, phase_dev, ...)	multiplys a complex bivariate gaussian white-noise signal

`inv`(s)	Calculates ‘inverse’ s-parameter matrix, used for de-embeding
`connect_s`(A, k, B, l)	connect two n-port networks’ s-matricies together.
`innerconnect_s`(A, k, l)	connect two ports of a single n-port network’s s-matrix.
`s2z`(s[, z0])	Convert scattering parameters [#]_ to impedance parameters [#]_ ..
`s2y`(s[, z0])	convert scattering parameters [#]_ to admittance parameters [#]_
`s2t`(s)	Converts scattering parameters [#]_ to scattering transfer parameters [#]_ .
`z2s`(z[, z0])	convert impedance parameters [#]_ to scattering parameters [#]_
`z2y`(z)	convert impedance parameters [#]_ to admittance parameters [#]_
`z2t`(z)	Not Implemented yet
`y2s`(y[, z0])	convert admittance parameters [#]_ to scattering parameters [#]_
`y2z`(y)	convert admittance parameters [#]_ to impedance parameters [#]_
`y2t`(y)	Not Implemented Yet
`t2s`(t)	converts scattering transfer parameters [#]_ to scattering parameters [#]_
`t2z`(t)	Not Implemented Yet
`t2y`(t)	Not Implemented Yet

`average`(list_of_networks)	Calculates the average network from a list of Networks.
`Network.nudge`([amount])	Perturb s-parameters by small amount.