88679505SA_TSP_Rev1

插值与拟合，griddataexam，matlab经典算法的程序 数学类(griddataexam)

医学图像配准工具箱，对用互信息图像配准有帮助(Medical image registration toolbox for image registration using mutual information helpful)

说明：  MATLAB模拟贪吃蛇优秀图像化程序，和在电脑上在线玩贪吃蛇(Matlab simulation snake excellent image program, and online play snake on the computer)

核主成分分析中使用多项式核函数时的MATLAB代码，有注释，易看懂。(Kernel Principal Component Analysis in the use of polynomial kernel function of the MATLAB code, annotated, easy read.)

传真通信V27 V29 V17 T38解调与解码，(Fax communications V27 V29 V17 T38 demodulation and decoding,)

说明：  Mie散射模型，Christian Matzler版，附带Matlab Functions for Mie Scattering and Absorption 手册(Mie scattering model, Christian Matzler version, with Matlab Functions for Mie Scattering and Absorption Guide)

国内节点优化算法书籍，内容丰富，算法齐全，实用性较强。定理的证明和算法的准导主要以数学分析和线性代数为基础，简明易学。(Domestic node optimization book, rich in content, the algorithm is complete, practical, strong. Theorems and algorithms quasi-proof guide mainly in mathematical analysis and linear algebra-based, concise and easy to learn.)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.

多模型预测控制；用于各种强非线性模型的预测控制。(Multi-model predictive control predictive control for a variety of strong nonlinear model.)

最近有人问我关于什么时候用self.赋值的问题, 我总结了一下, 发出来给大家参考. 有什么问题请大家斧正.(Recently someone asked me about when to use self. Assignment, I sum up a bit, given to your reference. Have any questions please Fu Zheng.)