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改进的对数联合变换相关器在噪声条件下的模式识别 被引量:3

A modified logarithmic joint transform correlator for pattern recognition in noisy environment
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摘要 对联合变换相关器的功率谱进行对数变换可强化其高频分量,锐化相关峰,但同时也会增强其噪声成分,影响抗噪性能。针对这一问题,提出了一种改进的对数联合变换相关器模型。通过改变对数函数形式来提高对数联合变换相关器的抗噪能力。计算机仿真结果表明,在附加高斯白噪声、非重叠低频和高频有色噪声的条件下,改进的对数联合变换相关器的抗噪能力均优于传统的对数联合变换相关器。 The high frequencies of the joint power spectrum (JPS)of joint transform correlator (JTC) can be emphasized by logarithmic transformation of the JPS, and sharp correlation peaks are obtained. But at the same time, the noise part of JPS can also be enhanced which affects the JTC' s noise resistance ability. To overcom this problem, a modified logarithmic JTC is proposed by modifying the logarithm function. Computer simulation results show that the modified system performs are better than classical logarithmic JTC under additive Gaussion noise, non-overlapping low-frequency and high-frequency color noise.
作者 赵昱 申铉国
出处 《光学技术》 CAS CSCD 北大核心 2006年第6期803-805,809,共4页 Optical Technique
关键词 信息光学 模式识别 联合变换相关器 information optics pattern recognition joint transform correlator
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参考文献5

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