| Package | Description |
|---|---|
| de.gsi.math.samples |
| Modifier and Type | Class and Description |
|---|---|
class |
ComplexFourierSample
example illustrating the discrete time fourier transform and Fast-Fourier transform and spectral interpolation
methods.
|
class |
DataSetAverageSample
Sample to illustrate averaging over several data sets with an IIR and FIR low-pass filter
|
class |
DataSetFilterSample
Sample to illustrate low-pass and median filtering of a data set
|
class |
DataSetIntegrateDifferentiateSample
Sample to illustrate integral and differentiation of data sets low-pass filter
|
class |
DataSetIntegrationWithLimitsSample
Sample to illustrate integral with limits filter
|
class |
DataSetSpectrumSample
example illustrating the Fast-Fourier transform and math operations directly on DataSet
N.B.
|
class |
EMDSample
example illustrating EMD-based spectrograms
|
class |
FourierSample
example illustrating the discrete time fourier transform and Fast-Fourier transform and spectral interpolation
methods.
|
class |
FrequencyFilterSample
Sample to illustrate array-based Butterworth and Chebychev filters
|
class |
GaussianFitSample
example illustrating fitting of a Gaussian Distribution
|
class |
IIRFilterSample
Reads schottky measurement data and downmixes it with the following algorithm: * apply band-pass arround the relevant
band * multiply with 28 MHz sine signal * low-pass filter * downsampling Then applies different IIR Filters to the
signal
|
class |
IIRFrequencyFilterSample
Sample to illustrate IIR-based Butterworth and Chebychev filters
|
class |
ShortTimeFourierTransformSample
Example illustrating the Short-time Fourier Transform
TODO:
- add nonzero imaginary part to sample data?
- move computations out of javaFX application thread
|
class |
WaveletDenoising
example illustrating a wavelet denoising algorithm
|
class |
WaveletScalogram
example illustrating wavelet-based scalograms
|
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