smart_signal_processing 2.1.1
Provides useful functions for signal processing such as Fast Fourier Transform, windowing (apodization), variance/standard deviation and others.
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.
Example #

The provided example can be directly executed via https://smart.specpad.bplaced.net/smart_signal_processing/example.html.

Or, download the package and execute the file
example/example.html
in your browser.
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)
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_sample_data
: Computes 1D and 2D arrays containing sample data.
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.