PID--MATLAB

算术编码程序设计及具体示例，适合初学者掌握基于MATLAB的算术编码(Arithmetic coding procedures for the design and specific examples, suitable for beginners to master the arithmetic coding based on MATLAB)

matlab NSS利率期限模型源代码 用的是非线性最小二乘法 里面有两种实现方法(matlab NSS Term model source code using a nonlinear least squares method, there are two ways to achieve)

Transient Overvoltage in Power System

说明：  k均值算法是一种迭代求解的聚类分析算法，其步骤是随机选取K个对象作为初始的聚类中心，然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。(kmeans algorithm is an iterative solution clustering analysis algorithm. First, the initial clustering centers are randomly selected. Then, distance between between each point ans others are calculated, and each data point is designed to its nearest clustering center.)

Modulo multiplier of IDEA

说明：  rs码的产生,超宽带系统的发射接收程序，及其性能测试(rs code generation, ultra-wideband transceiver system procedures, and performance testing)

《matlab40个经典案例》书本PDF扫描版和源程序。福利继续上。欢迎指教(" Matlab40 a classic case of" book PDF scan version and source code. Benefits continue on. Welcome advice)

Thresholding is a key techniqur for the segmentation and edge detection. this program contained the matlab program for thresholding on the basis of energy entropy of an image.

实现不同模式之间可分性的分析，找到两类特征区别于彼此的特征点/段，以用于分类。(Separability between different modes to achieve the analysis)

FIR数字滤波器广泛应用在数字通信系统中,研究其实现方法具有重要意义。Matlab功能强大,利用Matlab辅 助设计DSP应用程序,可大大缩短DSP应用程序的开发时间。介绍了Matlab和CCS及DSP的连接,说明了利用Matlab辅 助DSP实现FIR数字滤波器的过程,及如何在Matlab环境中调试DSP程序,给出了实现结果,并把该结果和单纯在Matlab 环境下实现结果进行比较,前者效果更好,更具有实际应用价值。 (FIR digital filters widely used in digital communication systems, research methods of their realization of great significance. Matlab is powerful DSP using Matlab-aided design applications, can greatly shorten the DSP application development time. Describes the Matlab and CCS and DSP connections, shows DSP using Matlab support the process of realization of FIR digital filters, and how to debug in the Matlab environment, DSP program, are given to achieve results, and to the results and simple in the Matlab environment, achieved results are compared, the former better, more practical application value.)