mxlib
c++ tools for analyzing astronomical data and other tasks by Jared R. Males. [git repo]
sigproc.hpp
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1 /** \file sigproc.hpp
2  * \author Jared R. Males
3  * \brief Library include for the sigproc module
4  * \ingroup signal_processing_files
5  *
6  */
7 
8 //***********************************************************************//
9 // Copyright 2023 Jared R. Males (jaredmales@gmail.com)
10 //
11 // This file is part of mxlib.
12 //
13 // mxlib is free software: you can redistribute it and/or modify
14 // it under the terms of the GNU General Public License as published by
15 // the Free Software Foundation, either version 3 of the License, or
16 // (at your option) any later version.
17 //
18 // mxlib is distributed in the hope that it will be useful,
19 // but WITHOUT ANY WARRANTY; without even the implied warranty of
20 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
21 // GNU General Public License for more details.
22 //
23 // You should have received a copy of the GNU General Public License
24 // along with mxlib. If not, see <http://www.gnu.org/licenses/>.
25 //***********************************************************************//
26 
27 #ifndef sigproc_hpp
28 #define sigproc_hpp
29 
30 #include "autocorrelation.hpp"
31 #include "averagePeriodogram.hpp"
32 #include "basisUtils2D.hpp"
33 #include "circularBuffer.hpp"
34 #include "fourierModes.hpp"
35 #include "gramSchmidt.hpp"
36 #include "levinsonRecursion.hpp"
37 #include "linearPredictor.hpp"
38 #include "psdFilter.hpp"
39 #include "psdUtils.hpp"
40 #include "psdVarMean.hpp"
41 #include "signalWindows.hpp"
42 #include "zernike.hpp"
43 
44 #endif //sigproc_hpp
Tools for working with autocorrelations.
A class to manage calculation of periodograms from time series data.
Utilities for a working with a 2D basis set.
A circular buffer class.
Functions for generating 2D Fourier modes.
Procedures to orthogonalize vector basis sets.
Working with linear prediction.
Declares and defines a class for filtering with PSDs.
Tools for working with PSDs.
Tools for calculating the variance of the mean of a PSD.
Procedures to calculate window functions for signal processing.
Working with the Zernike polynomials.