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图像处理中数字识别的相关算法，自己私藏的统计识别模板。神经网络/聚类分析。matlab实现。(AI-NN-PR pattern recognition matlab)

Plots the irradiation diagram of a random N isotropic elements array

Performance and Cost Evaluation of IEEE 802.11g and 802.3i Protocols for Network Connectivity at a University Campus using OPNET Simulation

This is a MATLAB code which provides the performance of a cyclic code.

偏最小二乘回归是第二代回归方法，它可以实现多种数据分析方法的综合应用。(PLS is the second generation regression method, which can realize the comprehensive application of various data analysis methods.)

本文是有关投影法的matlab程序 给出具体例子说明此方法(This article is about the projection of the matlab program gives concrete examples to illustrate this method)

三篇经典的关于ofdm相位噪声抑制的外文资料，是大师的作品，很有参考价值，我考过好几次，受益匪浅。(Three classical phase noise suppression on ofdm foreign materials, is the master work, a good reference, I test several times and benefit.)

Converts cartesian coordinates in WGS84_XYZ to geodetic coordinates in WGS84_LLA.

该算法包包含了hierichal，kmeans，em聚类算法，非常实用。(The algorithm package contains hierichal, kmeans, em clustering algorithm is very practical.)

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)