SignalProcessing< T > Class Template Reference

#include <SignalProcessing.h>

Public Member Functions
double	calculateTIPS (T *a_signal, unsigned int a_length, int a_kFast, int a_mFast, int a_kSlow, int a_mSlow)

Static Public Member Functions
static double *	simpleMovingAverage (T *a_signal, unsigned int a_length, unsigned int a_windowSize)
static double *	iterativeMovingAverage (T *a_signal, unsigned int a_length, unsigned int a_windowSize, unsigned int a_numIter)
static double *	singlePoleLowPassFilter (T *a_signal, unsigned int a_length, double a_xDecay)
static double *	singlePoleHighPassFilter (T *a_signal, unsigned int a_length, double a_xDecay)
static double *	fourStageLowPassFilter (T *a_signal, unsigned int a_length, double a_xDecay)
static double *	trapezoidalFilter (T *a_signal, unsigned int a_length, int a_k, int a_m)

Detailed Description

template<class T>
class SignalProcessing< T >

this class is intended to hold a series of static templated methods for signal processing algorithms designed to work on arrays of data.

Member Function Documentation

calculateTIPS()

template<class T >

double SignalProcessing< T >::calculateTIPS	(	T *	a_signal,
		unsigned int	a_length,
		int	a_kFast,
		int	a_mFast,
		int	a_kSlow,
		int	a_mSlow
	)

this functions applies two fast and slow trapezoidal filters it then calculates the TIPS (max slow/max fast) to provide a PSD metric https://doi.org/10.1109/NSSMIC.2018.8824502

get max values of trap filters

fourStageLowPassFilter()

template<class T >

double * SignalProcessing< T >::fourStageLowPassFilter ( T *  a_signal, unsigned int  a_length, double  a_xDecay  )

static

this function applies a 4 stage low pass filter see equation 19.6 https://www.dspguide.com/ch19/2.htm estimates for the xdecay parameter is given by equation 19.4 or 19.5

first sample set to be same as input

iterativeMovingAverage()

template<class T >

double * SignalProcessing< T >::iterativeMovingAverage ( T *  a_signal, unsigned int  a_length, unsigned int  a_windowSize, unsigned int  a_numIter  )

static

this function produces a moving average filter.
a given element of the returned array is an average of the last N elements of the given array interpreted as doubles to prevent integer overflows save for the first window size elements which are all the average of the of the first window size elements this applies the smoothing filter n times !!there is likely an optimization of this if it shows up in profiling!!!

this function produces a moving average filter.
a given element of the returned array is an average of the last N elements of the given array interpreted as doubles to prevent integer overflows save for the first window size elements which are all the average of the of the first window size elements this applies the smoothing filter n times

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simpleMovingAverage()

template<class T >

double * SignalProcessing< T >::simpleMovingAverage ( T *  a_signal, unsigned int  a_length, unsigned int  a_windowSize  )

static

this function produces a moving average filter.
a given element of the returned array is an average of the last N elements of the given array interpreted as doubles to prevent integer overflows save for the first window size elements which are all the average of the of the first window size elements

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singlePoleHighPassFilter()

template<class T >

double * SignalProcessing< T >::singlePoleHighPassFilter ( T *  a_signal, unsigned int  a_length, double  a_xDecay  )

static

this function applies a high pass single pole filter see equation 19.3 https://www.dspguide.com/ch19/2.htm estimates for the xdecay parameter is given by equation 19.4 or 19.5

first sample set to be same as input

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singlePoleLowPassFilter()

template<class T >

double * SignalProcessing< T >::singlePoleLowPassFilter ( T *  a_signal, unsigned int  a_length, double  a_xDecay  )

static

this function applies a low pass single pole filter see equation 19.2 https://www.dspguide.com/ch19/2.htm estimates for the xdecay parameter is given by equation 19.4 or 19.5

first sample set to be same as input

trapezoidalFilter()

template<class T >

double * SignalProcessing< T >::trapezoidalFilter ( T *  a_signal, unsigned int  a_length, int  a_k, int  a_m  )

static

this function applies a trapezoidal filter see second line of table 1 in https://doi.org/10.1016/0168-9002(94)91011-1

Parameters

a_m	rise and decay samplesflat top samples

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The documentation for this class was generated from the following files:

• BasicSupport/include/SignalProcessing.h
• BasicSupport/include/SignalProcessing.hpp