Shape-Recognation

这些程序是朱毅才老师过程辨识参数书的源程序，是问他本人要的，很珍贵，在此分享，希望对过程辨识的研究人员有很大的帮助(These procedures the teacher Zhu Yi before the process of identification of the source of the argument of the book, and asked his very precious to share this, researchers hope that the process of identification of a great help)

电磁场数值计算的作业代码和文档，绘制了一个立方体空间中电磁场变化情况(Job electromagnetic field numerical calculation code and documentation, draw a cube space electromagnetic field changes)

说明：  bode画法和命令(BODE painting law and order !!!!!!!!!!!!!!!!!!!!!!!!!!! )

The E-book is good to master in C.

这个matlab程序,按照节点的能量把选举成为簇头的概率分为了两种,能量高的,概率大,这样就总体的延长了节点群的生存时间(The matlab program, in accordance with the energy of the node to elect the cluster head of the probability is divided into two kinds, high energy, the probability is large, so that the overall extension of the node group s survival time)

基于dwL的数宇水印程序，，一维离散小波变换(dwL based on the number of buildings watermarking procedure, a peacekeeping DWT)

说明：  浅层海洋环境由信源组成声源，海洋形成信道，和水听器阵列组成接收器。在这个传播模型中，信源，信道和接收信号这三者，通常能知二求一，具体应用诸如利用海洋环境参数和接收到的信号来定位声源，或者通过计算发射信号和接收信号之间的差异，反演海洋环境参数。 而在接收器方面，我们通过设置各向同性的水听器阵列。通过算法和处理器，我们便能量化模型，传统是处理器主要基于接收信号是高斯信号，而海洋中存在着大量的有色噪声。本课题的研究目的便是在前人的基础上，在海洋声层析成像的背景下，在信源与接收器阵列之间，引入信号的高阶统计量，对非高斯过程的水下信号源进行定位，并提高算法的性能和准确性。 利用非高斯过程的高阶累积量不恒为零的特点，滤去高斯有色噪声对信号的影响，其又包含了信号的相位信息，便可以极大的优化匹配场处理过程的性能和准确性。(After receiving signals based on high order cumulant matched field processor after matched field localization, the positioning effect will be more accurate, sidelobe suppression more effectively, and compared with other traditional matched field processor in low SNR environment, it can position more accurately.)

自己用Matlab编写的最优化算法,包括0.618,梯度法,共轭梯度法,罚函数法.(Their own written with Matlab optimization algorithms, including 0.618, gradient method, conjugate gradient method, penalty function.)

贝叶斯分类器的设计实验，内有解释利于入门学习(Bayesian classifier design experiments, which help to explain the study entry)

this is a FFT algorith using by matlab code