Performance-analysis-of-Chaotic-modulation-system

蒙特卡洛相关代码，可用于初学者学习的一个比较好的算例，希望能够帮到你！(Monte Carlo-related code can be used for beginners to learn a better example, want to help you!)

用matlab编写的软件，用于人脸检测的一个很好用的软件，可以自己随便找一幅图像进行测试。(Matlab software used to prepare for the face detection software used in a very good, can not find an image for testing.)

介绍压缩传感理论中要用到的信号的稀疏表征原理(Introduced the theory of compressed sensing to use the sparse representation of signal theory)

recursive mean-separate histogram equalization

Matlab入门教材，可以作为入门是的读物。(Matlab entry materials, can be used as entry is reading.)

采用加入递归思想的二分法搜索非线性方程的近似解，在典型算例中调试通过。(A recursive dichotomization which is utilized in the solving of non-linear equation.)

Stud. Appl. Math. 118, 153-197 (2007)关于solitons的一篇文章，figure6的编程，主要是运用牛顿迭代法进行数值模拟的。(Stud. Appl. Math. 118, 153-197 (2007) on the solitons in an article, figure6 programming, primarily using Newton' s iterative method of numerical simulation.)

MATLAB图片点的像素坐标（读入图片，点击就能显示像素坐标）(MATLAB image point in pixel coordinates (read pictures, you can click the display pixel coordinates))

功率谱估计的应用范围很广，在各学科和应用领域中受到了极大的重视。在《现代信号处理》课程中讲述了经典谱估计和现代谱估计这两大类谱估计方法；经典谱估计是基于傅立叶变换的，虽然具有运算效率高的优点，但是频谱分辨率低同时旁瓣泄漏严重，对长序列有着良好的估计。为了克服经典谱估计的缺点，人们开展了对现代谱估计方法的研究。现代谱估计是以随机过程的参数模型为基础的，有最大似然估计法、最大熵法、AR模型法、预测滤波器法。现代谱估计对短序列的估计精度高，同经典谱估计互为补充。在认真学习了现 代谱估计方法后，我选择了现代谱估计中的AR模型法的仿真作为题目。下面给出AR模型的相关理论和仿真实现。(Power Spectral Estimation of very extensive, in all disciplines and fields of application of a great deal of attention. The "modern signal processing" on the curriculum of classical and modern spectral estimation spectrum is estimated that the two types of spectrum estimation method; Classical spectrum estimation is based on Fourier transform, although high computing efficiency advantages, but also low-resolution spectrum Sidelobe serious leakage of long sequences have good estimates. In order to overcome the classic shortcomings of the spectrum estimation, there have been a pair of modern spectral estimation methods. Modern spectral estimation is the random process model parameters based on the maximum likelihood estimation, maximum entropy method, AR model, forecast filter. Spe)

说明：  光子晶体带隙计算的例子，以前在3.5版本模型库里面有，但是4.2里面么了，希望对大家有所帮助。(Photonic band gap calculation example, the previous 3.5 version of the model library in there, but what a 4.2 inside, we want to help.)