LS

fuzzy control codes, and rungakutta method, fuzzy trainnig etc

orthogonal frequncy dma

一个有关MATLAB学习的电子教材资料，可以由浅入深的进行学习，此外对MATLAB深层研究也有一定帮助(a MATLAB program language teaching book)

说明：  基于MATLAB编程的专家控制PID源程序(Expert PID control based on MATLAB source code)

说话人识别 用DTW与HMM模型改进算法(speaker recognition )

用直方图均衡化的方法处理彩色图像，使颜色更加鲜艳。(Histogram equalization approach to color image, the color more vivid.)

MATLAB与VB的集成在电力系统潮流计算中的应用

说明：  有限元的四边形剖分程序，可用于有限元求解磁场，电场等问题是的区域划分中(fem use to answer EMT )

用matlab求解有限元计算，对使用有限元方法计算的内部过程有更深的了解(Using matlab to solve finite element, finite element method for the use of a deeper understanding of internal process)

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.