特征系统实现算法是近年来出现的时域模态参数识别技术。
The Eigensystem Realization Algorithm (ERA), as a model parameter identification method in time-domain has received more and more attention in recent years.
本文提出了一种新的结构模态参数识别算法，称为直接特征系统实现算法(DERA)。
A new method called direct eigensystem realization algorithm (DERA) is developed for structural modal parameter identification.
通过与特征系统实现算法仿真结果比较，证明了子空间方法能更有效地降低噪声对参数估计的影响。
The result are compared with that of eigensystem realization algorithm, which proves that the subspace method can reduce the noise influence on the parameters estimate more effectively.
该方法运用特征系统实现算法辨识得到系统的动力学参数，然后利用辨识得到的参数设计最优控制器，抑制结构的振动。
An inorbit identification vibration control method for flexible space structures was developed in which the dynamics parameters are identified using the eigensystem realization algorithm (ERA) method.
本文系统地介绍了针对图像特征提取中边缘检测方面所做的理论探讨、算法实现及实际应用三方面的工作。
In this paper, three aspect that is theory discussion, algorithms realization and applications are introduced, which aim at edge detection in distilling image character.
基于以非相干光相关器为核心的光电混合图像处理系统，实现了基于光学沃尔什变换特征提取的图像匹配算法。
Based on a hybrid opto electrical image processing system with an incoherent correlator, the image matching algorithm using optical Walsh transformation is realized successfully.
在边缘提取的基础上，系统利用自主设计的一套算法快速实现了对图像中岩块几何特征量(面积、周长)的计算。
Based on edge detection, the system implemented the quick calculation on rocks area and perimeter with the developed arithmetic.
文章实现了声调特征提取的算法，并主要研究了如何应用这些特征，才能最大限度地发挥声调信息的作用，提高识别系统的性能。
This paper researches on the algorithm of tone feature extraction and proposes a scheme to apply tone information in mandarin speech recognition system.
新闻推荐规则是建立在用户特征提取算法的基础之上实现的，是对本系统实现的补充和完善。
The news recommendation rule generation part is based on feature extraction part and it is the complement of the system.
本文提出并实现了一套完整的行人跟踪系统，整个系统的底层是由HOG特征和颜色直方图特征构成的行人检测器，上层则采用粒子滤波器算法，结合各个行人检测器的结果得到最终检测结果。
In this article, we proposed and implemented a human tracking system whose bottom layer is human detectors based HOG feature and color histogram feature, and upper layer is based on particle filter.
研究结果表明，采用SIFT算法提取特征点实现基于普通非量测相机无人机遥感系统获取的影像快速自动拼接在技术上是可行的，满足减灾救灾工作的突发性要求。
The results of this study show that it is feasible for image rapid automatic stitching by SIFT key point extraction. It also meets the disaster reduction and relief requirements.
研究结果表明，采用SIFT算法提取特征点实现基于普通非量测相机无人机遥感系统获取的影像快速自动拼接在技术上是可行的，满足减灾救灾工作的突发性要求。
The results of this study show that it is feasible for image rapid automatic stitching by SIFT key point extraction. It also meets the disaster reduction and relief requirements.
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