User:Josiah425:TISEAN Package:Table of functions: Difference between revisions
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|lzo-run || Iterate a locally zeroth order model || None in GNU Octave || C || wrapped in C++/mfile/octfile code || | |lzo-run || Iterate a locally zeroth order model || None in GNU Octave || C || wrapped in C++/mfile/octfile code || | ||
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|lzo-test || Test a locally zeroth order model (old zeroth) || None in GNU Octave || C || wrapped in C++/mfile/octfile code || | |lzo-test || Test a locally zeroth order model (old zeroth) || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested | ||
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|makenoise || Produce noise || Rand exists || Should be implemented as mfile using Octave rand functions || wrapped in C++/mfile/octfile code || | |makenoise || Produce noise || Rand exists || Should be implemented as mfile using Octave rand functions || wrapped in C++/mfile/octfile code || |
Revision as of 01:16, 27 May 2015
Table of functions
In reference to the TISEAN library alphabetical order of programs which is located here.
The choice whether a program exist in Octave is based only on comparing package/octave documentation with the TISEAN documentation. As of now I have not compared any code, nor checked if any sample data gives the same results from both functions (the octave ones and the TISEAN ones).
Program Name | Program Description | Corresponding Octave Function | Lanuguage of Origin | How to port | Status |
---|---|---|---|---|---|
arima-model | Fit and possibly iterate an ARIMA model | generalizes TSA arma functions | C | wrapped in C++/mfile/octfile code | |
ar-model | Fit and possibly iterate an Autoregessive model | 'aar' in TSA; see also: aarmam, adim, amarma, mvaar from TSA | C | wrapped in C++/mfile/octfile code | |
ar-run | Iterate an Autoregessive model | Same as above | FORTRAN | wrapped in C++/mfile/octfile code | |
av-d2 | Simply smooth output of d2 | Can be implemented with filter in core | C | ||
boxcount | Renyi Entopies of Qth order | None in GNU Octave (maybe in info-theory but it is not worth the pain) | C | wrapped in C++/mfile/octfile code | |
c1 | Fixed mass estimation of D1 | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
c2d | Get local slopes from correlation integral | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
c2g | Gaussian kernel of C2 | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
c2t | Takens estimator of D2 | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
choose | Choose rows and/or columns from a data file | Does not need to be ported | FORTRAN | ----- | Not Needed |
compare | Compares two data sets | Does not need to be ported | FORTRAN | ------ | Not Needed |
corr, autocorr | Autocorrelation function | xcorr in signal | corr -C, autocorr (faster according to documentation) - FORTRAN | ------- | Different usage, same result |
d2 | Correlation dimension d2 | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
delay | Creates delay embedding | None in GNU Octave (easy to implement in Octave but not worth the effort) | C | wrapped in C++/mfile/octfile code | Ported&Tested |
endtoend | Determine end-to-end mismatch | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
events | Interval/event conversion | None in GNU Octave | FORTRAN | To be reimplemented as m-file | |
extrema | Determine the extrema of a time series | findpeaks in signal is *not* the same | C | ||
false_nearest | The false nearest neighbor algorithm | None in GNU Octave | C | wrapped in C++/mfile/octfile code | Ported&Tested |
ghkss | Nonlinear noise reduction | None in GNU Octave | C | wrapped in C++/mfile/octfile code | Ported&Tested |
henon | Create a Hénon time series | None in GNU Octave | FORTRAN | To be reimplemented as m-file | Ported&Checked |
histogram | Creates histograms | hist in core | C | Different usage, same result | |
ikeda | Create an Ikeda time series | None in GNU Octave | FORTRAN | To be reimplemented as mfile | |
intervals | Event/intervcal conversion | Might exist under different name | FORTRAN | To be reimplemented as mfile | |
lazy | Simple nonlinear noise reduction | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | Ported&Tested |
lfo-ar | Locally first order model vs. global AR model (old ll-ar) | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lfo-run | Iterate a locally first order model (old nstep) | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lfo-test | Test a locally first order model (old onestep) | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lorenz | Create a Lorenz time series | Can be implemented in GNU Octave using lsode or odepkg | FORTRAN | mfile | |
low121 | Time domain low pass filter | There are lowpass filters in Octave: buttap, cheb1ap, cheb2ap, ellipap, sftrans, but I don't think they perform this task | C | Reimplement as mfile | |
lyap_k | Maximal Lyapunov exponent with the Kantz algorithm | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lyap_r | Maximal Lyapunov exponent with the Rosenstein algorithm | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lyap_spec | Full spectrum of Lyapunov exponents | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lzo-gm | Locally zeroth order model vs. global mean | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lzo-run | Iterate a locally zeroth order model | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
lzo-test | Test a locally zeroth order model (old zeroth) | None in GNU Octave | C | wrapped in C++/mfile/octfile code | Ported&Tested |
makenoise | Produce noise | Rand exists | Should be implemented as mfile using Octave rand functions | wrapped in C++/mfile/octfile code | |
mem_spec | Power spectrum using the maximum entropy principle | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
mutual | Estimate the mutual information | None in GNU Octave | C | wrapped in C++/mfile/octfile code | Ported&Tested |
notch | Notch filter | pei_tseng_notch, needs to be verified | FORTRAN | wrapped in C++/mfile/octfile code | |
nstat_z | Nonstationarity testing via cross-prediction | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
pca, pc | Principle component analysis | 'pcacov' if likely the equivalent; pricomp in statistics | pca - C, pc - FORTRAN | wrapped in C++/mfile/octfile code | Ported&Tested |
poincare | Create Poincaré sections | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
polyback | Fit a polynomial model (backward elimination) | polyfit, detrend, wpolyfit are not similar | C | wrapped in C++ | Porting needed |
polynom | Fit a polynomial model | same as above | C | ||
polynomp | Fit a polynomial model (reads terms to fit from file) | same as above | C | ||
polypar | Creates parameter file for polynomp | same as above | C | ||
predict | Forecast discriminating statistics for surrogates | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
randomize | General constraint randomization (surrogates) | There are random function, but I don't think this one exists | FORTRAN | wrapped in C++/mfile/octfile code | |
randomize_spikeauto_exp_random | Surrogate data preserving event time autocorrelations | Same as above | FORTRAN | wrapped in C++/mfile/octfile code | |
randomize_spikespec_exp_event | Surrogate data preserving event time power spectrum | Same as above | FORTRAN | wrapped in C++/mfile/octfile code | |
rbf | Radial basis functions fit | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
recurr | Creates a recurrence plot | None in GNU Octave | C | wrapped in C++/mfile/octfile code | |
resample | Resamples data | There is 'resample' in Octave, but I believe it does something else | C | wrapped in C++/mfile/octfile code | |
rescale | Rescale data set | This should be in Octave, cannot find... | C | wrapped in C++/mfile/octfile code | |
rms | Rescale data set and get mean, variance and data interval | This should be in Octave, cannot find... | FORTRNAN | wrapped in C++/mfile/octfile code | Not Needed |
sav_gol | Savitzky-Golay filter | sgolayfilt in signal | C | ||
spectrum | Power spectrum using FFT | abs (fft (;)) | FORTRAN | Rewrite as m-file | Ported&Tested |
spikeauto | Autocorrelation function of event times | similar to above | FORTRAN | ||
spikespec | Power spectrum of event times | ar_psd, cpsd is the closest but I do not think they are the same | FORTRAN | ||
stp | Creates a space-time separation plot | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
surrogates | Creates surrogate data | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
timerev | Time reversal discrimating statistics for surrogates | None in GNU Octave | FORTRAN | To be reimplemented as mfile | |
upo | Finds unstable periodic orbits and estimates their stability | None in GNU Octave | FORTRAN | wrapped in C++/mfile/octfile code | |
upoembed | Takes the output of upo and create data files out of it | None in GNU Octave | FORTAN | wrapped in C++/mfile/octfile code | |
wiener1, wiener2 | Wiener filter | Wiener process exists, might be similar | FORTRAN | wrapped in C++/mfile/octfile code | |
xc2 | Cross-correlation integral | xcorr2 - Needs to be verified that works the same way | FORTRAN | wrapped in C++/mfile/octfile code | |
xcor | Cross-correlations | xcorr - Needs to be verified that works same way | C | wrapped in C++/mfile/octfile code | |
xrecur | Cross-recurrence Plot | xcorr, or xcorr2 or another function might cover this | C | wrapped in C++/mfile/octfile code | |
xzero | Locally zeroth order cross-prediction | None in GNU Octave | C | wrapped in C++/mfile/octfile code |