KerMor  0.9
Model order reduction for nonlinear dynamical systems and nonlinear approximation
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models.motoneuron.NoiseGenerator Class Reference

NoiseGenerator: Models the noise input for the motoneuron model as done in the original script by Francesco. More...

Detailed Description

NoiseGenerator: Models the noise input for the motoneuron model as done in the original script by Francesco.

Author
Daniel Wirtz
Date
2014-05-21
New in 0.7:
(Daniel Wirtz, 2014-05-21) Added this class.

This class is part of the framework

KerMor - Model Order Reduction using Kernels

Definition at line 19 of file NoiseGenerator.m.

Public Member Functions

 NoiseGenerator ()
 Loads the experimental data for motoneuron noise input. More...
 
function  setFibreType (mu_fibretype)
 
function u = getInput (double t)
 The raw noise data is available in a sampling interval of one millisecond. As the global model unit is also milliseconds, \(t=1\) equals an elapsed time of one millisecond. More...
 

Public Attributes

 RandSeed = 100000
 
logical DisableNoise = false
 Set this to true to disable noisy signal output. More...
 
 indepNoise
 
 baseNoise
 
 a
 
 b
 
 AP
 
 factor
 
 baseMean
 
 indepMean
 
- Public Attributes inherited from handle
 addlistener
 Creates a listener for the specified event and assigns a callback function to execute when the event occurs. More...
 
 notify
 Broadcast a notice that a specific event is occurring on a specified handle object or array of handle objects. More...
 
 delete
 Handle object destructor method that is called when the object's lifecycle ends. More...
 
 disp
 Handle object disp method which is called by the display method. See the MATLAB disp function. More...
 
 display
 Handle object display method called when MATLAB software interprets an expression returning a handle object that is not terminated by a semicolon. See the MATLAB display function. More...
 
 findobj
 Finds objects matching the specified conditions from the input array of handle objects. More...
 
 findprop
 Returns a meta.property objects associated with the specified property name. More...
 
 fields
 Returns a cell array of string containing the names of public properties. More...
 
 fieldnames
 Returns a cell array of string containing the names of public properties. See the MATLAB fieldnames function. More...
 
 isvalid
 Returns a logical array in which elements are true if the corresponding elements in the input array are valid handles. This method is Sealed so you cannot override it in a handle subclass. More...
 
 eq
 Relational functions example. See details for more information. More...
 
 transpose
 Transposes the elements of the handle object array. More...
 
 permute
 Rearranges the dimensions of the handle object array. See the MATLAB permute function. More...
 
 reshape
 hanges the dimensions of the handle object array to the specified dimensions. See the MATLAB reshape function. More...
 
 sort
 ort the handle objects in any array in ascending or descending order. More...
 

Constructor & Destructor Documentation

models.motoneuron.NoiseGenerator.NoiseGenerator ( )

Loads the experimental data for motoneuron noise input.

The noise data is available on a millisecond sampling interval.

Relevant fields
  • AP: Mean current
  • thetaP: Variance of the independent noise
  • LOWPASSP: Lowpass bandwith of the independent noise
  • scaleP: total standard deviation, "AP/scale"
  • noiseP: The noise data. "Common noise (alpha+beta)"

Definition at line 77 of file NoiseGenerator.m.

References a, AP, b, baseMean, baseNoise, and factor.

Member Function Documentation

function u = models.motoneuron.NoiseGenerator.getInput ( double  t)

The raw noise data is available in a sampling interval of one millisecond. As the global model unit is also milliseconds, \(t=1\) equals an elapsed time of one millisecond.

As theoretically the finite noise samples are ending at some stage, we put them in an infinite loop via mod(t,numsamples).

Parameters
tThe current time(s) \(t \in [0, T]\)

Definition at line 114 of file NoiseGenerator.m.

References baseMean, baseNoise, DisableNoise, indepMean, and indepNoise.

function models.motoneuron.NoiseGenerator.setFibreType (   mu_fibretype)

Definition at line 102 of file NoiseGenerator.m.

References a, AP, b, baseNoise, factor, indepMean, indepNoise, and RandSeed.

Member Data Documentation

models.motoneuron.NoiseGenerator.a

Definition at line 62 of file NoiseGenerator.m.

Referenced by NoiseGenerator(), and setFibreType().

models.motoneuron.NoiseGenerator.AP

Definition at line 66 of file NoiseGenerator.m.

Referenced by NoiseGenerator(), and setFibreType().

models.motoneuron.NoiseGenerator.b

Definition at line 64 of file NoiseGenerator.m.

Referenced by NoiseGenerator(), and setFibreType().

models.motoneuron.NoiseGenerator.baseMean

Definition at line 70 of file NoiseGenerator.m.

Referenced by getInput(), and NoiseGenerator().

models.motoneuron.NoiseGenerator.baseNoise

Definition at line 60 of file NoiseGenerator.m.

Referenced by getInput(), NoiseGenerator(), and setFibreType().

models.motoneuron.NoiseGenerator.DisableNoise = false

Set this to true to disable noisy signal output.

This will cause the getInput function to simply return the mean values of the respective noises for each time t.

Default: false

Definition at line 43 of file NoiseGenerator.m.

Referenced by getInput().

models.motoneuron.NoiseGenerator.factor

Definition at line 68 of file NoiseGenerator.m.

Referenced by NoiseGenerator(), and setFibreType().

models.motoneuron.NoiseGenerator.indepMean

Definition at line 72 of file NoiseGenerator.m.

Referenced by getInput(), and setFibreType().

models.motoneuron.NoiseGenerator.indepNoise

Definition at line 58 of file NoiseGenerator.m.

Referenced by getInput(), and setFibreType().

models.motoneuron.NoiseGenerator.RandSeed = 100000

Definition at line 40 of file NoiseGenerator.m.

Referenced by setFibreType().


The documentation for this class was generated from the following file: