| 1. | Detection of targets under complicated background of cloud
云层背景中目标的相关识别 |
| 2. | The computer real - time processing of optical information in pattern recognition correlator
图像相关识别器的光信号计算机实时处理 |
| 3. | Moreover , the adding algebra and correlations operations are simulated . ( 3 )
利用联合相关识别仿真实验实现了输入光学图像的识别和筛选； ( 3 ) |
| 4. | Finally , the comparison is made between the photorefractive edge - enhancement and two - beam coupling jtc
本文最后对光折变边缘增强和二波耦合联合变换相关识别进行了比较。 |
| 5. | With the rapid improvement of the vhm in recent years , pattern recognition that uses vhm is now being researched widely
本论文的研究就是以角度复用的体全息存储器作为相关运算器，来做图象的相关识别。 |
| 6. | The theories and experiments of the nonlinear joint transform correlation recognition and the photorefractive correlation recognition are investigated detailedly in this thesis
本文对非线性联合变换相关识别和光折变光学相关识别进行了较详细的研究。 |
| 7. | Most of coherence identification algorithms have made some assumptions about the disturbance and computing models ' effects on the result of coherence
摘要常用的发电机群相关识别算法，大都针对电网扰动和计算模型对相关机群识别结果的影响做出一定假设。 |
| 8. | And the photorefractive edge - enhancement joint transform correlator can provide higher 1 correlation peak and narrower correl ation width with the presence of electric - fields
应用于光折变边缘增强联合变换相关器时，通过外加电场，可使联合变换相关器的相关识别性能进一步改善。 |
| 9. | In order to validate these assumptions , several dynamic stability calculations are carried out on a power system model with 6 generators and 22 buses in different assumptions
为了验证这些假设的合理性，使用动态稳定分析程序针对一个6机22节点的电网模型进行各种条件下的相关识别结果对照。 |
| 10. | In this paper , two methods of realizing optical pattern recognition , spatial matched filter correlation and joint transform correlation ( jtc ) , were discussed first with the emphasis on the jtc
本文首先论述了实现光学模式识别的两种方案，空间匹配滤波相关识别和联合变换相关识别的原理和技术。 |
