The temporal and spatial functions allow you to perform spectral analysis of series or matrix datasets.
Functions:
- TD_CONVOLVE
- Applies digital filter to one-dimensional series by convolving time series with kernel filter.
- TD_CONVOLVE2
- Applies digital filter to a two-dimensional matrix by convolving time series with kernel filter.
- TD_DFFT
- Applies the Discrete Fast Fourier Transform to a one-dimensional series and returns a result series containing the computed Fourier Coefficients. The coefficients can be in rectangular (real, imaginary) or polar (amplitude, phase) form.
- TD_DFFT2
- Applies the Discrete Fast Fourier Transform to a two-dimensional array and returned a result matrix containing the computed two-dimension Fourier Coefficients. The coefficients can be in either rectangular (real, imaginary) or polar (amplitude, phase) form.
- TD_DFFTCONV
- Converts the Fourier Coefficient result series (ART), generated by TD_DFFT to either human-readable or raw forms, and in any of the supported rectangular and polar output formats.
- TD_DFFT2CONV
- Converts the Fourier Coefficient result matrixes (ART), generated by TD_DFFT2 to either human-readable or raw forms, and in any of the supported rectangular and polar output formats.
- TD_GENSERIES4SINUSOIDS
- Generates a result series containing a subset of the sinusoidal elements in the original input series.
- TD_IDFFT
- Reverses the effects of a Fourier transform on a one-dimensional series.
- TD_IDFFT2
- Reverses the effects of a Fourier transform on a two-dimensional matrix.
- TD_LINESPEC
- Uses a line spectrum function for identifying periodicities in time series.
- TD_POWERSPEC
- Uses a power spectrum function for estimating power spectrum associated with time series.