| average |
Averages aos point-by-point |
| bandpass |
AOs containing time-series data. |
| bandreject |
AOs containing time-series data. |
| bicohere |
Computes the bicoherence of two input time-series |
| bin_data |
Rebins aos data, on logarithmic scale, linear scale, or arbitrarly chosen. |
| blrms |
Computes band-limited RMS trends of the input time-series. |
| buildWhitener1D |
Builds a whitening filter based on the input frequency-series. |
| cdfplot |
Makes cumulative distribution plot |
| cgfill |
Fills specified gaps in the data given an inital guess for the spectrum. |
| cohere |
Estimates the coherence between time-series objects |
| compute |
Performs the given operations on the input AOs. |
| confint |
Calculates confidence levels and variance for psd, lpsd, cohere, lcohere and curvefit parameters |
| consolidate |
Resamples all input AOs onto the same time grid. |
| conv |
Vector convolution. |
| corr |
Estimate linear correlation coefficients. |
| cov |
Estimate covariance of data streams. |
| cpsd |
Estimates the cross-spectral density between time-series objects |
| crb |
Computes the inverse of the Fisher Matrix |
| crbound |
Computes the inverse of the Fisher Matrix |
| delay |
Delays a time-series using various methods. |
| delayEstimate |
Estimates the delay between two AOs |
| detectOutliers |
Locates outliers in data. |
| detrend |
Detrends the input analysis object using a polynomial of degree N. |
| dft |
Computes the DFT of the input time-series at the requested frequencies. |
| diff |
Differentiates the data in AO. |
| dispersionLoop |
DipersionLoop computes the dispersion function in loop |
| downsample |
Decimate AOs by an integer factor. |
| dropduplicates |
Drops all duplicate samples in time-series AOs. |
| dsmean |
Performs a simple downsampling by taking the mean of every N samples. |
| dtfe |
Estimates transfer function between time-series objects. |
| ecdf |
Calculate empirical cumulative distribution function |
| edgedetect |
Detects edges in a binary pulse-train. |
| eqmotion |
Solves numerically a given linear equation of motion |
| evaluateModel |
Evaluate a curvefit model. |
| fft |
Overloads the fft method for Analysis objects. |
| fftfilt |
Overrides the fft filter function for analysis objects. |
| filtSubtract |
Subtracts a frequency dependent noise contribution from an input ao. |
| filter |
Overrides the filter function for analysis objects. |
| filtfilt |
Overrides the filtfilt function for analysis objects. |
| firwhiten |
Whitens the input time-series by building an FIR whitening filter. |
| fixfs |
Resamples the input time-series to have a fixed sample rate. |
| fngen |
Creates an arbitrarily long time-series based on the input PSD. |
| gapfilling |
Fills possible gaps in data. |
| gapfillingoptim |
Fills possible gaps in data. |
| getAbsTimeRange |
Returns a timespan object which span the absolute time range of an AO |
| getKSCValPSD |
Provides critical value for KStest on the PSD |
| getdof |
Calculates degrees of freedom for psd, lpsd, cohere and lcohere |
| heterodyne |
Heterodynes time-series. |
| highpass |
Highpass AOs containing time-series data. |
| hist |
Overloads the histogram function (hist) of MATLAB for Analysis Objects. |
| iacf |
Computes the inverse auto-correlation function from a spectrum. |
| ifft |
Overloads the ifft operator for Analysis objects. |
| integrate |
Integrates the data in AO. |
| interp |
Interpolate the values in the input AO(s) at new values. |
| interpmissing |
Interpolate missing samples in a time-series. |
| intersect |
Overloads the intersect operator for Analysis objects. |
| kstest |
Perform KS test on input AOs |
| lcohere |
Implement magnitude-squadred coherence estimation on a log frequency axis. |
| lcpsd |
Implement cross-power-spectral density estimation on a log frequency axis. |
| linSubtract |
Subtracts a linear contribution from an input ao. |
| lincom |
Make a linear combination of analysis objects |
| linedetect |
Find spectral lines in the ao/fsdata objects. |
| linfit |
Is a linear fitting tool |
| linlsqsvd |
Linear least squares with singular value decomposition |
| lisovfit |
Uses LISO to fit a pole/zero model to the input frequency-series. |
| lowpass |
Lowpass AOs containing time-series data. |
| lpsd |
Implements the LPSD algorithm for analysis objects. |
| lscov |
Is a wrapper for MATLAB's lscov function. |
| ltfe |
Implements transfer function estimation computed on a log frequency axis. |
| map3D |
Maps the input 1 or 2D AOs on to a 3D AO |
| mcmc |
Estimates paramters using a Monte Carlo Markov Chain. |
| modelSelect |
Method to compute the Bayes Factor using RJMCMC, LF, LM, BIC methods |
| mve |
Minimum Volume Ellipsoid estimator |
| noisePower |
Computes the noise power spectral density in a time-series as a function of time. |
| noisegen1D |
Generates colored noise from white noise. |
| noisegen2D |
Generates cross correleted colored noise from white noise. |
| normdist |
Computes the equivalent normal distribution for the data. |
| nyquistplot |
Fits a piecewise powerlaw to the given data. |
| overlap |
This method cuts out the the overlapping data of the input AOs. |
| pad |
Pads the input data series to a given value. |
| play |
Plays a time-series using MATLAB's audioplay function. |
| polyfit |
Overloads polyfit() function of MATLAB for Analysis Objects. |
| polyfitSpectrum |
Does a polynomial fit to the log of the input spectrum. |
| polynomfit |
Is a polynomial fitting tool |
| powerFit |
Fits a piecewise powerlaw to the given data. |
| ppsd |
Makes power spectral density estimates of the time-series objects in the input analysis objects by estimating ARMA models coefficients. |
| preprocessDataForMCMC |
Split, resample and apply FFT to time series for MCMC analysis. |
| psd |
Makes power spectral density estimates of the time-series objects |
| psdconf |
Calculates confidence levels and variance for psd |
| psdvfit |
Performs a fitting loop to identify model for a psd. |
| qqplot |
Makes quantile-quantile plot |
| removeVal |
Removes values from the input AO(s). |
| resample |
Overloads resample function for AOs. |
| rjsample |
Reverse Jump MCMC sampling using the "Metropolized Carlin And Chib" Method. |
| rms |
Calculate RMS deviation from spectrum |
| sDomainFit |
Performs a fitting loop to identify model order and |
| select |
Select particular samples from the input AOs and return new AOs with only those samples. |
| simplex |
Multidimensional unconstrained nonlinear minimization (Nelder-Mead) |
| sineParams |
Estimates parameters of sinusoids |
| smoother |
Smooths a given series of data points using the specified method. |
| spcorr |
Calculate Spearman Rank-Order Correlation Coefficient |
| spectrogram |
Computes a spectrogram of the given ao/tsdata. |
| spikecleaning |
Detects and corrects possible spikes in analysis objects |
| split |
Split an analysis object into the specified segments. |
| spsd |
Implements the smoothed (binned) PSD algorithm for analysis objects. |
| subsData |
Performs actions on ao objects. |
| svd_fit |
Estimates parameters for a linear model using SVD |
| tdfit |
Fit a set of smodels to a set of input and output signals.. |
| tfe |
Estimates transfer function between time-series objects. |
| timeaverage |
Averages time series intervals |
| toSI |
Converts the units of the x, y and z axes into SI units. |
| trends |
Computes the trend statistics of the input time-series. |
| union |
Overloads the union operator for Analysis Objects. |
| upsample |
Overloads upsample function for AOs. |
| validateSpectrumMod |
Statistically validate a model for a psd. |
| whiten1D |
Whitens the input time-series. |
| whiten2D |
Whiten the noise for two cross correlated time series. |
| window |
Applies the specified window to the input time-series objects |
| xcorr |
Makes cross-correlation estimates of the time-series |
| xfit |
Fit a function of x to data. |
| zDomainFit |
Performs a fitting loop to identify model order and |
| zeropad |
Zero pads the input data series. |