提出了一种时序循环级联式的子波变换相关识别系统。该系统是基于循环使用一个普通光学相关器，而相关器采用光折变全息图作为空间匹配滤波器，一个受计算机控制的空间光调制器作为输入器件，方位不同的参考光用于编码存储不同的输入信号、不同的子波和子波变换的傅里叶谱的多重信息。通过计算机控制系统互连网络和级联循环次数可完成用于不同目的的相关运算。给出简要的原理分析，并用纯光学方法实验研究了Ｈａａｒ子波变换、Ｈａａｒ子波变换相关识别，并与普通相关识别作了对比。讨论了该系统所具有的诸多方面的特点。

A sequential cycle cascade correlation system for wavelet transform (WT) of images and correlation recognition based on feature extracting by WT is presented. The basic structure of the correlation system consists of a usual optical correlator. In this correlator, spatial light modulators can be used as real time input device. A piece of photorefractive crystal is used as an information storage element, a vast number of signal data are recorded in Fourier transform holograms by spatially encoding reference beams, such as different spatial frequency spectra of object functions, wavelet functions and WT functions of signals. The input and output signals, and sequential operation procedures of the correlation system are controlled by a computer, which can collect the input and the output signals by CCD cameras, record them, and process them in nonlinear thresholding. In this paper, the optical analogous experimental results of wavelet transform of 2-D images and their correlation recognition are provided in the cases of 1-D and 2-D Haar wavelets. For comparison, the optical result of usual correlation experiment is also presented. It is very obvious that the wavelet transform correlation recognition possesses more high discriminability than the usual correlation recognition. In addition, some other advantages of the cycle-cascade correlation system are discussed finally.