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| 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). | | 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). |
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| The legend to understand the table is as follows:
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| {| class="wikitable" | | {| class="wikitable" |
| |-style="background: LightGreen"
| |
| |Green means the function is ported, tested or is not needed
| |
| |-style="background: LightSalmon"
| |
| |Red means the function was thought to have been similar but isn't
| |
| |-style="background: Yellow"
| |
| |Yellow means that the correlation between the TISEAN and Octave function needs to be verified
| |
| |- | | |- |
| |No color means that nothing about this function has been determined | | ! Program Name !! Program Description !! Corresponding Octave Function !! Comments |
| |} | | |- |
| | | | arima-model || Fit and possibly iterate an ARIMA model || generalizes TSA arma functions || This is a c-file that can be wrapped in C++/mfile/octfile code |
| {| class="wikitable"
| | |- |
| | |ar-model || Fit and possibly iterate an Autoregessive model || 'aar' in TSA || C; see also: aarmam, adim, amarma, mvaar from TSA |
| | |- |
| | |ar-run || Iterate an Autoregessive model || Same as above || FORTRAN |
| | |- |
| | |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 |
| | |- |
| | |c1 || Fixed mass estimation of D1 || None in GNU Octave || FORTRAN |
| | |- |
| | |c2d || Get local slopes from correlation integral || None in GNU Octave || FORTRAN |
| | |- |
| | |c2g || Gaussian kernel of C2 || None in GNU Octave || FORTRAN |
| | |- |
| | |c2t || Takens estimator of D2 || None in GNU Octave || FORTRAN |
| | |- |
| | |choose || Choose rows and/or columns from a data file || Does not need to be ported || ------ |
| | |- |
| | |compare || Compares two data sets || Does not need to be ported || FORTRAN |
| | |- |
| | |corr, autocorr || Autocorrelation function || Does not need to be ported xcorr in signal || corr -C, autocorr (faster according to documentation) - FORTRAN |
| | |- |
| | |d2 || Correlation dimension d2 || None in GNU Octave || c |
| | |- |
| | |delay || Creates delay embedding || None in GNU Octave (easy to implement in Octave but not worth the effort) || C |
| | |- |
| | |endtoend || Determine end-to-end mismatch || None in GNU Octave || FORTRAN |
| | |- |
| | |events || Interval/event conversion || None in GNU Octave || FORTRAN to be implemented as mfile |
| | |- |
| | |extrema || Determine the extrema of a time series || findpeaks in signal (but maybe is just easier to port) || C |
| | |- |
| | |false_nearest || The false nearest neighbor algorithm || None in GNU Octave || C |
| | |- |
| | |ghkss || Nonlinear noise reduction || None in GNU Octave || C |
| | |- |
| | |henon || Create a Hénon time series || There is not || To m-file; already ported |
| | |- |
| | |histogram || Creates histograms || hist in core || C |
| | |- |
| | |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 |
| | |- |
| | |lfo-ar || Locally first order model vs. global AR model (old ll-ar) || Does not exist || C |
| | |- |
| | |lfo-run || Iterate a locally first order model (old nstep) || Does not exist || C |
| | |- |
| | |lfo-test || Test a locally first order model (old onestep) || Does not exist || C |
| | |- |
| | |lorenz || Create a Lorenz time series || Does not exist || FORTRAN |
| | |- |
| | |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, might be ok to implement as mfile |
| | |- |
| | |lyap_k || Maximal Lyapunov exponent with the Kantz algorithm || Does not exist || C |
| | |- |
| | |lyap_r || Maximal Lyapunov exponent with the Rosenstein algorithm || Does not exist || C |
| | |- |
| | |lyap_spec || Full spectrum of Lyapunov exponents || Does not exist || C |
| | |- |
| | |lzo-gm || Locally zeroth order model vs. global mean || Does not exist || C |
| | |- |
| | |lzo-run || Iterate a locally zeroth order model || Does not exist || C |
| | |- |
| | |lzo-test || Test a locally zeroth order model (old zeroth) || Does not exist || C |
| | |- |
| | |makenoise || Produce noise || Rand exists || Should be implemented as mfile using Octave rand functions |
| | |- |
| | |mem_spec || Power spectrum using the maximum entropy principle || Does not exist || C |
| | |- |
| | |mutual || Estimate the mutual information || Does not exist || C |
| | |- |
| | |notch || Notch filter || pei_tseng_notch, needs to be verified || FORTRAN |
| | |- |
| | |nstat_z || Nonstationarity testing via cross-prediction || Does not exist || C |
| | |- |
| | |pca, pc || Principle component analysis || 'pcacov' if likely the equivalent || pca - C, pc - FORTRAN |
| | |- |
| | |poincare || Create Poincaré sections || Does not exist || C |
| | |- |
| | |polyback || Fit a polynomial model (backward elimination) || polyfit, detrend, wpolyfit || I do not know if they work the same way, but it does seem so, written in C |
| | |- |
| | |polynom || Fit a polynomial model || same as above || same as above |
| | |- |
| | |polynomp || Fit a polynomial model (reads terms to fit from file) || same as above || same as above |
| | |- |
| | |polypar || Creates parameter file for polynomp || same as above || same as above |
| | |- |
| | |predict || Forecast discriminating statistics for surrogates || Does not exist || FORTRAN |
| |- | | |- |
| ! Program Name !! Program Description !! Corresponding Octave Function !! Lanuguage of Origin !! How to port !! Status
| | |randomize || General constraint randomization (surrogates) || There are random function, but I don't think this one exists || FORTRAN |
| |- | | |- |
| | arima-model || Fit and possibly iterate an ARIMA model || generalizes TSA arma functions || C || wrapped in C++/mfile/octfile code || | | |randomize_spikeauto_exp_random || Surrogate data preserving event time autocorrelations || Same as above || Same as above |
| |- | | |- |
| |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 || | | |randomize_spikespec_exp_event || Surrogate data preserving event time power spectrum || Same as above || Same as above |
| |- | | |- |
| |ar-run || Iterate an Autoregessive model || Same as above || FORTRAN || wrapped in C++/mfile/octfile code || | | |rbf || Radial basis functions fit || Does not exist || C |
| |-style="background: LightGreen"
| |
| |av-d2 || Simply smooth output of d2 || Can be implemented with filter in core || C || ||
| |
| |-style="background: LightGreen"
| |
| |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 ||
| |
| |-style="background: LightGreen"
| |
| |c1 || Fixed mass estimation of D1 || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |c2d || Get local slopes from correlation integral || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |c2g || Gaussian kernel of C2 || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |c2t || Takens estimator of D2 || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |choose || Choose rows and/or columns from a data file || Does not need to be ported || FORTRAN || ----- || Not Needed
| |
| |-style="background: LightGreen"
| |
| |compare || Compares two data sets || Does not need to be ported || FORTRAN || ------ || Not Needed
| |
| |-style="background: LightGreen"
| |
| |corr, autocorr || Autocorrelation function || xcorr in signal || corr -C, autocorr (faster according to documentation) - FORTRAN || ------- || Different usage, same result
| |
| |-style="background: LightGreen"
| |
| |d2 || Correlation dimension d2 || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |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
| |
| |-style="background: LightGreen"
| |
| |endtoend || Determine end-to-end mismatch || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |- | | |- |
| |events || Interval/event conversion || None in GNU Octave || FORTRAN || To be reimplemented as m-file || | | |recurr || Creates a recurrence plot || Does not exist || C |
| |-style="background: LightSalmon"
| |
| |extrema || Determine the extrema of a time series || findpeaks in signal is *not* the same || C || ||
| |
| |-style="background: LightGreen"
| |
| |false_nearest || The false nearest neighbor algorithm || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |ghkss || Nonlinear noise reduction || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |henon || Create a Hénon time series || None in GNU Octave || FORTRAN || To be reimplemented as m-file || Ported&Checked
| |
| |-style="background: LightGreen"
| |
| |histogram || Creates histograms || hist in core || C || || Different usage, same result
| |
| |-style="background: LightGreen"
| |
| |ikeda || Create an Ikeda time series || None in GNU Octave || FORTRAN || To be reimplemented as mfile || Ported&Tested
| |
| |- | | |- |
| |intervals || Event/intervcal conversion || Might exist under different name || FORTRAN || To be reimplemented as mfile || | | |resample || Resamples data || There is 'resample' in Octave, but I believe it does something else || C |
| |-style="background: LightGreen"
| |
| |lazy || Simple nonlinear noise reduction || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |lfo-ar || Locally first order model vs. global AR model (old ll-ar) || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |lfo-run || Iterate a locally first order model (old nstep) || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |lfo-test || Test a locally first order model (old onestep) || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: Yellow"
| |
| |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 || | | |rescale || Rescale data set || This should be in Octave, cannot find... || C |
| |-style="background: LightGreen"
| |
| |lyap_k || Maximal Lyapunov exponent with the Kantz algorithm || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |lyap_r || Maximal Lyapunov exponent with the Rosenstein algorithm || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |lyap_spec || Full spectrum of Lyapunov exponents || None in GNU Octave || C || wrapped in C++/mfile/octfile code ||
| |
| |-style="background: LightGreen"
| |
| |lzo-gm || Locally zeroth order model vs. global mean || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |lzo-run || Iterate a locally zeroth order model || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |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 || | | |rms || Rescale data set and get mean, variance and data interval || This should be in Octave, cannot find... || FORTRNAN |
| |- | | |- |
| |mem_spec || Power spectrum using the maximum entropy principle || None in GNU Octave || C || wrapped in C++/mfile/octfile code || | | |sav_gol || Savitzky-Golay filter || Does not exist || C |
| |-style="background: LightGreen"
| |
| |mutual || Estimate the mutual information || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: Yellow"
| |
| |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 || | | |spectrum || Power spectrum using FFT || bispec from tsa? || FORTRAN |
| |-style="background: LightGreen"
| |
| |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
| |
| |-style="background: LightGreen"
| |
| |poincare || Create Poincaré sections || None in GNU Octave || C || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightSalmon"
| |
| |polyback || Fit a polynomial model (backward elimination) || polyfit, detrend, wpolyfit are not similar || C || wrapped in C++ || Porting needed
| |
| |-style="background: LightGreen"
| |
| |polynom || Fit a polynomial model || same as above || C || ||
| |
| |-style="background: LightSalmon"
| |
| |polynomp || Fit a polynomial model (reads terms to fit from file) || same as above || C || ||
| |
| |-style="background: LightSalmon"
| |
| |polypar || Creates parameter file for polynomp || same as above || C || ||
| |
| |-style="background: LightGreen"
| |
| |predict || Forecast discriminating statistics for surrogates || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Same as lzo_test; Not Needed
| |
| |- | | |- |
| |randomize || General constraint randomization (surrogates) || There are random function, but I don't think this one exists || FORTRAN || wrapped in C++/mfile/octfile code || | | |spikeauto || Autocorrelation function of event times || similar to above || FORTRAN |
| |- | | |- |
| |randomize_spikeauto_exp_random || Surrogate data preserving event time autocorrelations || Same as above || FORTRAN || wrapped in C++/mfile/octfile code || | | |spikespec || Power spectrum of event times || ar_psd, cpsd is the closest but I do not think they are the same || FORTRAN |
| |- | | |- |
| |randomize_spikespec_exp_event || Surrogate data preserving event time power spectrum || Same as above || FORTRAN || wrapped in C++/mfile/octfile code || | | |stp || Creates a space-time separation plot || Does not exist || FORTRAN |
| |-style="background: LightGreen"
| |
| |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 || | | |surrogates || Creates surrogate data || Does not exist || FORTRAN |
| |- | | |- |
| |resample || Resamples data || There is 'resample' in Octave, but I believe it does something else || C || wrapped in C++/mfile/octfile code || | | |timerev || Time reversal discrimating statistics for surrogates || Does not exist || FORTRAN, to be implemented as mfile |
| |- | | |- |
| |rescale || Rescale data set || This should be in Octave, cannot find... || C || wrapped in C++/mfile/octfile code || | | |upo || Finds unstable periodic orbits and estimates their stability || No corresponding function in Octave || FORTRAN |
| |-style="background: LightGreen"
| |
| |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
| |
| |-style="background: Yellow"
| |
| |sav_gol || Savitzky-Golay filter || sgolayfilt in signal || C || ||
| |
| |-style="background: LightGreen"
| |
| |spectrum || Power spectrum using FFT || abs (fft (;)) || FORTRAN || Rewrite as m-file || Ported&Tested
| |
| |- | | |- |
| |spikeauto || Autocorrelation function of event times || similar to above || FORTRAN || || | | |upoembed || Takes the output of upo and create data files out of it || Same as above || Same as above |
| |- | | |- |
| |spikespec || Power spectrum of event times || ar_psd, cpsd is the closest but I do not think they are the same || FORTRAN || || | | |wiener1, wiener2 || Wiener filter || Wiener process exists, might be similar || FORTRAN |
| |- | | |- |
| |stp || Creates a space-time separation plot || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || | | |xc2 || Cross-correlation integral || xcorr2 || Needs to be verified that works the same way |
| |-style="background: LightGreen"
| |
| |surrogates || Creates surrogate data || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |timerev || Time reversal discrimating statistics for surrogates || None in GNU Octave || FORTRAN || To be reimplemented as mfile || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |upo || Finds unstable periodic orbits and estimates their stability || None in GNU Octave || FORTRAN || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |-style="background: LightGreen"
| |
| |upoembed || Takes the output of upo and create data files out of it || None in GNU Octave || FORTAN || wrapped in C++/mfile/octfile code || Ported&Tested
| |
| |- | | |- |
| |wiener1, wiener2 || Wiener filter || Wiener process exists, might be similar || FORTRAN || wrapped in C++/mfile/octfile code || | | |xcor || Cross-correlations || xcorr || Needs to be verified that works same way |
| |- | | |- |
| |xc2 || Cross-correlation integral || xcorr2 - Needs to be verified that works the same way || FORTRAN || wrapped in C++/mfile/octfile code || | | |xrecur || Cross-recurrence Plot || xcorr, or xcorr2 or another function might cover this || C |
| |-style="background: Yellow"
| |
| |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 || Does not exist || C |
| |-style="background: LightGreen"
| |
| |xzero || Locally zeroth order cross-prediction || None in GNU Octave || C || wrapped in C++/mfile/octfile code || | |
| |} | | |} |