modelMinimumAndZeroPhase

Compares implementation of convolution with minim and zero phase filters

Extends from FilterAndConvolution (Compares implementation with filter and convolution).

Information

This example compares the implementation of convolution with minimum and zero phase filters on the background of a railway application.

Parameters

TypeNameDefaultDescription
RealconvolutionResolution (from FilterAndConvolution)RailMinimumPhaseInterpolator.T[2] - RailMinimumPhaseInterpolator.T[1]
BooleandoMinimum (from FilterAndConvolution)trueCalculate minimum phase filter?
BooleandoZero (from FilterAndConvolution)falseCalculate zero phase filter?
BooleandoFilter (from FilterAndConvolution)trueCalculate state space phase filter?
BooleandoTime (from FilterAndConvolution)falseCalculate time-based noise?
Modelica.Units.SI.DurationsamplePeriod (from FilterAndConvolution)0.2Common sample period

Components

TypeNameDefaultDescription
Modelica.Blocks.Noise.GlobalSeedglobalSeed (from FilterAndConvolution)
Sources.SignalBasedNoisespaceDomainNoiseMinimum (from FilterAndConvolution)
Modelica.Blocks.Continuous.Integratorposition (from FilterAndConvolution)
Modelica.Blocks.Sources.Constantvelocity (from FilterAndConvolution)
Modelica.Blocks.Continuous.TransferFunctionspaceDomainFilter (from FilterAndConvolution)
Sources.SignalBasedNoisespaceDomainNoiseWhite (from FilterAndConvolution)
Sources.SignalBasedNoisespaceDomainNoiseZero (from FilterAndConvolution)
Modelica.Blocks.Continuous.TransferFunctiontimeDomainFilter (from FilterAndConvolution)
Modelica.Blocks.Noise.BandLimitedWhiteNoisebandLimitedWhiteNoise (from FilterAndConvolution)

Revisions

DLR logo Copyright © DLR Institute of System Dynamics and Control
Initial version implemented by A. Klöckner, F. v.d. Linden, D. Zimmer, M. Otter.
DLR Institute of System Dynamics and Control