Lagrange-interpolation-of-matlab

Algorithm for Generating Random Number with Multi-dimensional Discrete Distribution

说明：  这是个OFDM系统的算法，内部包含同步，信道估计等，而且用蒙特卡洛方法进行仿真分析。(This is an algorithm for OFDM systems, internal includes synchronization, channel estimation, and simulation analysis using the Monte Carlo method.)

针对上述文章中存在的问题而修改的小波图像分解程序(In response to these problems in the article modified wavelet image decomposition process)

selforganising map for the matching algorithm for the biometric appilcations enroll ment

此程序的功能是用自相关法求使信号s均方预测误差为最小的预测系数 (Feature of this program is to use the autocorrelation method for the signal s smallest mean squared prediction error of prediction coefficients)

adaptive control tutorial第二章习题程序(chapter 2 of adaptive control tutorial)

This program code is used for compressing a content or image using LZW compression methods.

混沌粒子群优化（CPSO, Chaos Particle Swarm Optimization）算法融合了PSO算法的快收敛和CO算法的遍历随机等特点，在PSO算法每一代挑选出的最优解附近的区域里，用混沌算法进一步搜索，防止其陷入局部最优值，从而改进了PSO算法的不足，成为一种高效的优化算法。(Chaotic Particle Swarm Optimization (CPSO, Chaos Particle Swarm Optimization) algorithm combines the features of the PSO algorithm fast convergence and CO traversal algorithm randomly each generation in the PSO algorithm selected area near the optimal solution, further chaos algorithm search prevent it from falling into local optimal value, thus improving the deficiencies of the PSO algorithm, an efficient optimization algorithm.)

用matlab编程来提取图像的灰度共生矩阵(Extracting symbiotic matrix of the the image with matlab.GRAYCOMATRIX Create gray-level co-occurrence matrix)

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.)