Developer Documentation
Developer Documentation
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namespace StdSignalN
User Level:Default
Library: SparHist
Example: exBnd.cc

Child Classes:

#include "amma/Signal/FFT1d.hh"
FFT1dBodyC Interface class for 1d FFTW
FFT1dC Handle to 1d FFT.
Methods:

#include "amma/Signal/PowerSpectrum1d.hh"
SArray1dC<RealT> PowerSpectrum(const SArray1dC<RealT> & data)
Compute the power spectrum of data.
Compute the power spectrum using Bartlett window (simple triangle).

SArray1dC<RealT> PowerSpectrum(const SArray1dC<RealT> & d1,const SArray1dC<RealT> & d1)
Compute the power spectrum of data in two arrays.
Compute the power spectrum using Bartlett window (simple triangle). The arrays are expected to be of equal size, so the first array will be multiplied by an increasing ramp, the second by a decreasing one.

SArray1dC<RealT> PowerSpectrumSimple(const SArray1dC<RealT> & data)
Compute the power spectrum of data with no windowing..
no

#include "amma/Signal/Correlation1d.hh"
SArray1dC<RealT> Correlation(const SArray1dC<RealT> & d1,const SArray1dC<RealT> & d2)
Return the correlation of signals d1 and d2.
This uses FFT to caculate the correlation between d1 and d2. both d1 and d2 must have the same length.

SArray1dC<RealT> AutoCorrelation(const SArray1dC<RealT> & d1)
Return the auto correlation signals d1.
This uses FFT to caculate the correlation d1 and itself.

#include "amma/Signal/RealCepstral.hh"
SArray1dC<RealT> RealCepstral(const SArray1dC<RealT> & data)
Compute the real cepstral of data.


Documentation by CxxDoc: Tue Mar 20 10:50:54 2001
Centre for Vision, Speech & Signal Processing