LTPDA Toolbox | contents | ![]() ![]() |
The following sections gives an introduction to the generation of model noise using the noise generator implemented in LTPDA.
See Generating model noise for more general information on this.
Franklin's method does not require any 'warm up' period. It starts with a transfer function given as ratio of two polynomials.
The generator operates on a real state vector y of length n which is
maintained between invocations. It produces samples of the time series in equidistant steps T = 1/fs, where fs is the sampling frequency.
When an analysis object is constructed from a pole zero model Franklin's noise generator is called (compare Creating AOs from pole zero models).
First a parameter list of the input parameters is to be done. For further information on this look at Creating parameter lists from parameters.
The parameter list should contain the number of seconds the resulting time series should have nsecs and the sampling frequency fs.
The constructor call should look like this:
f1 = 5; f2 = 10; f3 = 1; gain = 1; fs = 10; %sampling frequency nsecs = 100; %number of seconds to be generated p = [pz(f1) pz(f2)]; z = [pz(f3)]; pzm = pzmodel(gain, p, z); a = ao(pzm, plist('nsecs', nsecs, 'fs',fs)
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Generating model noise | Noise generation with given CSD | ![]() |
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