Gualdron O, Arsenault H H
Opt Lett. 1993 Nov 15;18(22):1949-51. doi: 10.1364/ol.18.001949.
A new matched filter for pattern recognition is introduced. Previous researchers have introduced matched filters that are nonlinear functions of the spectrum, for which the classical matched filter is divided by some power m of the spectrum of interest. We further generalize this filter by making the power m a function of the spatial frequency; this permits the design of filters that combine the advantageous properties of matched filters, phase-only filters, and inverse filters without the corresponding disadvantages. The first computer experiments indicate that the new filter yields sharper correlation peaks and better discrimination than the matched filter and the phase-only filter and yields more robustness against noise.
介绍了一种用于模式识别的新型匹配滤波器。先前的研究人员已经引入了作为频谱非线性函数的匹配滤波器，对于这种滤波器，经典匹配滤波器被感兴趣频谱的某个幂次m除。我们通过使幂次m成为空间频率的函数来进一步推广这种滤波器；这允许设计出结合了匹配滤波器、纯相位滤波器和逆滤波器的有利特性而没有相应缺点的滤波器。首次计算机实验表明，与匹配滤波器和纯相位滤波器相比，新型滤波器产生的相关峰更尖锐、辨别力更好，并且对噪声具有更强的鲁棒性。
