matlab

lz77编码，从文件读取，进行编码，最终以二进制的形式输出到文本。无延伸(lz77 encoding read from the file, encoded in binary form the final output to the text. No extension)

m-sequencs generation and cross corelation between them

matlab编写，能够实现局部子空间鉴别分析，含主方法和测试代码，能直接运行(matlab prepared, can achieve local subspace discriminant analysis, including the main methods and test code that can be run directly)

This code simulates Distance Vector Routing protocol used for routing in communication networks

3GPP标准Turbo码编码译码仿真Matlab6.5及VC6.0源代码，并包含Turbo码编码译码原理的介绍文档。(3GPP standard Turbo coding and decoding simulation VC6.0 Matalab 6.5 source code , and includes Turbo Encoder Decoder description of the principle of documentation.)

WIMAX MIMO AdaptiveMIMO Matlab Simulink(.mdl)

images of fishes for claassifyication

TLBO metaheuristic algorithm to general optimization problem

自适应均衡器的仿真程序,初级入门的matlab仿真程序(Adaptive equalizer of the simulation program, the initial entry of matlab simulation program)

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)