mirror of
				https://github.com/f4exb/sdrangel.git
				synced 2025-10-31 13:00:26 -04:00 
			
		
		
		
	
		
			
				
	
	
		
			123 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			123 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| ///////////////////////////////////////////////////////////////////////////////////
 | |
| // Copyright (C) 2018-2019 Edouard Griffiths, F4EXB <f4exb06@gmail.com>          //
 | |
| //                                                                               //
 | |
| // This program is free software; you can redistribute it and/or modify          //
 | |
| // it under the terms of the GNU General Public License as published by          //
 | |
| // the Free Software Foundation as version 3 of the License, or                  //
 | |
| // (at your option) any later version.                                           //
 | |
| //                                                                               //
 | |
| // This program is distributed in the hope that it will be useful,               //
 | |
| // but WITHOUT ANY WARRANTY; without even the implied warranty of                //
 | |
| // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the                  //
 | |
| // GNU General Public License V3 for more details.                               //
 | |
| //                                                                               //
 | |
| // You should have received a copy of the GNU General Public License             //
 | |
| // along with this program. If not, see <http://www.gnu.org/licenses/>.          //
 | |
| ///////////////////////////////////////////////////////////////////////////////////
 | |
| 
 | |
| #ifndef _UTIL_MOVINGAVERAGE2D_H_
 | |
| #define _UTIL_MOVINGAVERAGE2D_H_
 | |
| 
 | |
| #include <algorithm>
 | |
| 
 | |
| template<typename T>
 | |
| class MovingAverage2D
 | |
| {
 | |
| public:
 | |
|     MovingAverage2D() : m_data(0), m_sum(0), m_dataSize(0), m_sumSize(0), m_width(0), m_depth(0), m_avgIndex(0) {}
 | |
| 
 | |
|     ~MovingAverage2D()
 | |
|     {
 | |
|         if (m_data) {
 | |
|             delete[] m_data;
 | |
|         }
 | |
| 
 | |
|         if (m_sum) {
 | |
|             delete[] m_sum;
 | |
|         }
 | |
|     }
 | |
| 
 | |
|     void resize(unsigned int width, unsigned int depth)
 | |
|     {
 | |
|         if (width*depth > m_dataSize)
 | |
|         {
 | |
|             m_dataSize = width*depth;
 | |
|             if (m_data) {
 | |
|                 delete[] m_data;
 | |
|             }
 | |
|             m_data = new T[m_dataSize];
 | |
|         }
 | |
| 
 | |
|         if (width > m_sumSize)
 | |
|         {
 | |
|             m_sumSize = width;
 | |
|             if (m_sum) {
 | |
|                 delete[] m_sum;
 | |
|             }
 | |
|             m_sum = new T[m_sumSize];
 | |
|         }
 | |
| 
 | |
|         m_width = width;
 | |
|         m_depth = depth;
 | |
| 
 | |
|         std::fill(m_data, m_data+(m_width*m_depth), 0.0);
 | |
|         std::fill(m_sum, m_sum+m_width, 0.0);
 | |
| 
 | |
|         m_avgIndex = 0;
 | |
|     }
 | |
| 
 | |
|     T storeAndGetAvg(T v, unsigned int index)
 | |
|     {
 | |
|         if (m_depth <= 1)
 | |
|         {
 | |
|             return v;
 | |
|         }
 | |
|         else if (index < m_width)
 | |
|         {
 | |
|             T first = m_data[m_avgIndex*m_width+index];
 | |
|             m_sum[index] += (v - first);
 | |
|             m_data[m_avgIndex*m_width+index] = v;
 | |
|             return m_sum[index] / m_depth;
 | |
|         }
 | |
|         else
 | |
|         {
 | |
|             return 0;
 | |
|         }
 | |
|     }
 | |
| 
 | |
|     T storeAndGetSum(T v, unsigned int index)
 | |
|     {
 | |
|         if (m_depth == 1)
 | |
|         {
 | |
|             return v;
 | |
|         }
 | |
|         else if (index < m_width)
 | |
|         {
 | |
|             T first = m_data[m_avgIndex*m_width+index];
 | |
|             m_sum[index] += (v - first);
 | |
|             m_data[m_avgIndex*m_width+index] = v;
 | |
|             return m_sum[index];
 | |
|         }
 | |
|         else
 | |
|         {
 | |
|             return 0;
 | |
|         }
 | |
|     }
 | |
| 
 | |
|     void nextAverage() {
 | |
|         m_avgIndex = m_avgIndex == m_depth-1 ? 0 : m_avgIndex+1;
 | |
|     }
 | |
| 
 | |
| private:
 | |
|     T *m_data;
 | |
|     T *m_sum;
 | |
|     unsigned int m_dataSize;
 | |
|     unsigned int m_sumSize;
 | |
|     unsigned int m_width;
 | |
|     unsigned int m_depth;
 | |
|     unsigned int m_avgIndex;
 | |
| };
 | |
| 
 | |
| 
 | |
| #endif
 |