Smart Signal Processing
What the package can do for you
This package provides frequently used functions for signal processing:
 Computes mean values, variance, standard deviation.
 Applies windowing (apodization functions) with exponential or Gaussian shapes to an array
 Applies the Fast Fourier Transform to an array.
 Calculates the power or magnitude of a complexvalued array.
 Phaseshifts (rotates in the complex plane) a complexvalued array.
The major API functionalities
 classes
Sigma
,BaseLine
,WinFunc
,FFT
,Phase
.
Examples:

Multiplication with an exponential:
WinFunc.expMult(array, decayFactor, false, "0");

Compute Fourier Transform:
FFT.transform(reals, imags);

Compute magnitude:
Phase.magnitude(reals, imags, true)

Compute variance in a region:
Sigma.variance(array, ixstart, ixend)
Detailed API
Please view the detailed API documentation in the API
reference of this package (sidebar at the right of this page).
Related packages
smart_arrays_base
: Basic functions for 1D and 2D arrays
smart_arrays_numerics
: Numerics with 1D and 2D arrays
smart_arrays_compress
: Compress 1D and 2D arrays to a smaller size.
smart_arrays_dbstore
: Store 1D and 2D arrays along with metadata on the local device.
smart_arrays_plot_polyline
: Plot 1D arrays as polyline along with axes and more.
smart_arrays_peaks
: Detect peaks in 1D and 2D arrays.
smart_lorentzgauss
: Compute LorentzGauss (pseudoVoigt) line shapes.