PID_jieou

cyclic convolution and discrete spread spectrum

This is a program for trajectory generation using Bezier Curve.

说明：  Matlab7.0的Kohonen的SOFM(自组织特征映射)源程序(Matlab7.0 of Kohonen' s SOFM (self-organizing feature map) source)

针对mean shift 跟踪方法中存在的光照变化不稳定问题， 提出了基于梯度特征与彩色 特征相融合的mean shift 跟踪方法。首先分别提取目标的梯度特征和彩色特征，利用多尺度的相似度 计算方法进行特征的匹配，然后通过最大化相似度对目标进行跟踪。通过物体和人体等运动目标的跟 踪，验证了改进的跟踪算法在光照变化情况下的鲁棒性优于原有的算法，显著降低了跟踪位置误差。(The instability of the light changes in the mean shift tracking method, the mean shift tracking method based on gradient features and color characteristics of fusion. First extract gradient features and color features of the target, the similarity calculation method using multi-scale feature matching, and then maximize the similarity of the target track. Through the tracking of objects and people moving target, verify the robustness of the improved tracking algorithm in the case of illumination changes is better than the original algorithm significantly reduces the tracking position error.)

计算图像的平均梯度和边缘强度的matlab源码，M文件形式(Calculating the average image intensity gradient and the edge of the matlab source, M documents in the form)

GDP32可控源数据编辑软件，可对原始数据进行选择和编辑，频点选取等，为后续反演提供高质量数据体(GDP32 CSAMT data edit)

针对多层导热特性的一个简单分析模型，可通过对不同层材料特性的设置，核算材料温度的变化。 (A simple model for the analysis of the thermal properties of the multilayer may be provided by the material properties of the different layers, accounting material temperature variations.)

非常详细的MUSIC谱估计程序，自己写的，毕业设计，保证结果正确且可以运行。有非常详细的注释，每句话都有注解，简明易懂，保证可以看懂并学到知识，并且每一步与MUSIC算法详细的对应和算法解释，不管是学习程序还是学习算法都很有帮助，.m文件中是程序的一部分，全部代码在WORD中，肯定是你见过的最好的代码(MUSIC spectrum estimation very detailed procedures for their own writing, graduation, there are very detailed notes, every word has a comment, simple to understand, to ensure you can read and acquire knowledge, and every step of the MUSIC algorithm and the corresponding detailed and algorithm explanation, whether the learning process or learning algorithms are very helpful)

garch model for econometric

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