lowpass_filter.hpp

/*
 * Copyright (c) 2006-2014, Visualization and Multimedia Lab,
 *                          University of Zurich <http://vmml.ifi.uzh.ch>,
 *                          Eyescale Software GmbH,
 *                          Blue Brain Project, EPFL
 *
 * This file is part of VMMLib <https://github.com/VMML/vmmlib/>
 *
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 * modification, are permitted provided that the following conditions are met:
 *
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 * list of conditions and the following disclaimer.  Redistributions in binary
 * form must reproduce the above copyright notice, this list of conditions and
 * the following disclaimer in the documentation and/or other materials provided
 * with the distribution.  Neither the name of the Visualization and Multimedia
 * Lab, University of Zurich nor the names of its contributors may be used to
 * endorse or promote products derived from this software without specific prior
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 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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/* @author Jafet Villafranca
 *
 * Implements low pass filtering on a templated data type, which needs to
 * implement multiplication by a scalar float for smoothing
 */

#ifndef __VMML__LOWPASS_FILTER__HPP__
#define __VMML__LOWPASS_FILTER__HPP__

#include <deque>

namespace vmml
{
template< size_t M, typename T > class lowpass_filter
{
public:
    lowpass_filter( const float F ) : _smooth_factor(F) {}
    ~lowpass_filter() {}

    const T& get() const { return _value; }

    const T* operator->() const { return &_value; }

    const T& operator*() const { return _value; }

    T add( const T& value );

    void set_smooth_factor( const float& f );

private:
    std::deque< T > _data;
    float _smooth_factor;
    T _value;
};


template< size_t M, typename T > T lowpass_filter< M, T >::add( const T& value )
{
    _data.push_front( value );

    while( _data.size() > M )
        _data.pop_back();

    // update
    typename std::deque< T >::const_iterator i = _data.begin();
    _value = *i;
    double weight = _smooth_factor;

    for( ++i ; i != _data.end(); ++i )
    {
        _value = _value * (1 - weight) + (*i) * weight;
        weight *= _smooth_factor;
    }

    return _value;
}

template< size_t M, typename T >
void lowpass_filter< M, T>::set_smooth_factor( const float& f )
{
    _smooth_factor = f;
}

} // namespace vmml

#endif