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We also discuss thecondition when an optical correlator can be applied to fuzzy recognition.

因此,光学相关器模糊模式识别方法是对传统模式识别方法一次有益的扩展。

Application of inverse filter in energy spectrum measuring;2. Time-varying MIMO channel tracking algorithm based on inverse filter .;3. Based on inverse filter ing technique, a method of rotating invariance matched filtering correlation recognition is proposed in this paper.

提出了用逆滤波器来进行旋转不变匹配滤波相关识别方法;采用级联变形滤波器可以实现透射匹配相关峰强度对透射输入能量的优化,大大改善相关峰的锐度,计算机模拟结果显示,对旋转图像,在平面内按 0°~ 32°旋转,每 4°取一灰度图像的旋转不变匹配滤波相关器,具有较好的相关不变识别性能,特别是目标图像在部分输入情况下也能较好地识

Feature extraction and classification using classifiers are the two key steps in pattern recognition.

模式识别中关键的两个环节是模式的特征提取及利用分类器分类识别。

After studying the applications of image algebraic feature thoroughly, we found that when algebraic feature is used to face recognition, projective transformation is generally used to compress the dimension of extracted image feature, then classifier is designed to recognize.

对图象代数特征应用作了深入研究之后,发现在应用代数特征进行人脸识别研究时,一般用投影变换来压缩提取的图象特征维数,然后设计分类器进行识别。

A noise-excited vocoder was used in a series of experiments to determine the relative contribution of temporal and spectral cues to phoneme recognition and lexical tone recognition.

声码器技术被用于一系列的实验以确定时域和频域信息对言语识别和汉语四声识别的相互作用。

The characteristic features of nitrogen and kalium deficiencies for tomatoes, which is hardly to be recognized in the initial period of growing, mainly represents on the color and texture of tomato leaves.

以肉眼不易识别的番茄缺氮和缺钾初期为研究对象,对体现在叶片颜色和纹理上的缺素症状进行了特征提取,利用遗传算法对提取的众多缺素特征进行优化组合,选择出用于模式识别分类器设计的特征向量。

In the recognition system we founded, a series of novel methods are introduced, such as Self-adaptive Preclassification, Direction Line Feature Extraction without Normalization, and the system is with high performance. It can get a high first accuracy more than 89%.

而在我们建立的识别系统中,则创造性的引入了一系列新方法,如自我确认式分类器、无需规格化处理的方向线素特征提取等,建立了一整套完整高效的识别系统,在理论和实践上进行了有益的探索。

A greedy feature selection algorithm has been employed, and a wieldy sample selection algorithm basing on the frequency histogram re-sampling has been proposed, which reduces the influence of redundant features and samples, and consequently improved the robustness of the resulting*recognition system.

从模式识别本身对训练样本集的要求出发,给出了基于频度统计函数重抽样的样本选择方法,一定程度上消除了冗余样本和奇异样本给分类器的学习、训练和分类识别带来的不良影响。

The identification results show good agreement with the experimental results and the effect of parameters on the performance of isolators.

识别结果与实验结果有较好的一致性,识别结果也说明了结构参数对隔振器性能的影响。

The identification results show good agreement with the experimental results and explain the effect of parameters on the performance of isolators.

识别结果与实验结果有较好的一致性,识别结果也说明了结构参数对隔振器性能的影响。

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