Hermite

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)

使用压缩感知正交匹配追踪算法实现算法重构，可以二维图像(COMPRESSED SENSINGomp)

this program discribe the denosing process by EMD

用于计算内弹道各参数，采用经典内弹道模型。(used to calculate The interior ballistic Parameters)

高斯混合模型——GMM的算法，属于大数据量的数据处理(failed to translate)

牛顿插值法,里面有程序和源码说明，还有运行结果，欢迎下载(Newton interpolation method, there are procedures and source code instructions, as well as the results, are welcome to download)

使用matlab编写的一个简单模板匹配程序，对作立体匹配的初学者的入门程序(Matlab prepared using a simple template matching procedures for the beginner stereo matching entry procedures)

This is a very good book on embedded system fundamentals. It is an ideal starting point for beginners.

给出一些参考有关图像融合的参考文章，两片英文文献，两篇中文文献(Give some information about the article reference image fusion, two pieces of English literature, two Chinese literature)

matlab编程中常用的一些程序，如一维单尺度及多尺度小波分解与重构。(matlab programming of commonly used procedures, such as a single-scale and multi-dimensional scale wavelet decomposition and reconstruction.)