project

clip&Filter,PTS和SLM三种降低PAPR的方法以及其优化算法，代码简单，注释丰富，绝对可以运行，有很大的参考价值。(clip )

matlab实例编程系列2，内有运行后界面图像＆源代码(Matlab programming examples Series 2, which is running the interface after images & source code)

DSP Fixed point algorithms is used in this wwork. This work is very narrow and same time committement will be solved with new algorithms technique of econmic dispatch.

matlab最新统计模式识别工具箱，更新日期2008.2.26(The latest statistical pattern recognition toolbox matlab, 2008.2.26 updated)

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)

多元逐步回归算法,在matlab软件中的运用,简单实用 (multiple stepwise regression algorithm in Matlab software on the use of simple and practical)

MATLAB经典教程—从入门到精通的pdf，很好的一本书(MATLAB classic guide- from entry to the proficient pdf good a book)

模糊神经网络 预测 软计算 T-S模糊模型 训练(Fuzzy neural network training in soft computing TS fuzzy model)

用MATLAB实现lingo 经典算法实例(MATLAB and lingo)

说明：  这是黑龙江大学自控理论专业同学在最优估计课程当中用matlab编写的gw算法!(This is the theory of controlled Heilongjiang University students in professional courses optimal estimate prepared by using Matlab algorithms gw!)