| 自适应解卷积与二次型共轭梯度算法 |
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| 引用本文： | 王学智.自适应解卷积与二次型共轭梯度算法[J].数据采集与处理,1996,11(1):22-27. |
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| 作者姓名： | 王学智 |
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| 作者单位： | 陕西工学院电子工程系 |
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| 摘 要： | 提出一种新的解卷积算法，它是将卷积运算关系ｙｉ＝ｈｉ＊ｆｉ转换为解矩阵方程Ｙ＝ＡＨ．运算这个矩阵方程可实现卷积与解卷积。文中也给出解矩阵方程的优化算法、ＱＣＧ（二次型共轭梯度）算法。计算机模拟表明，新算法具有精度高、速度快、数据短和计算稳定等优点．
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| 关 键 词： | 信号处理 解卷积 优化算法 二次型共轭梯度算法 |
An Adaptive Deconvolution Method and Quadratic Conjugate Gradient Algorithm |
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| Wang Xuezhi.An Adaptive Deconvolution Method and Quadratic Conjugate Gradient Algorithm[J].Journal of Data Acquisition & Processing,1996,11(1):22-27. |
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| Authors: | Wang Xuezhi |
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| Abstract: | A novel deconvolution method is proposed.The convolution yi = hi fi is transformed into the matrix equation Y=AH. The deconvolution is realized by resolving this equation. The optimal algorithm, quadratic conjugate gradient algorithm (QCGA) is introduced. Computer simulation shows that the new algorithm is fast and effective. QCGA has high accuarate, small data recorde, strongly restrained noise and stable resolution. |
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| Keywords: | signal processing deconvolution optimal algorithms quadratic conjugate gradient algorithm |
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