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matlab program is present in the file

file is uploaded as per instructions

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

《自适应滤波器》第五章Chap_5_Pred源代码，很详细(" Adaptive Filter" Chapter V Chap_5_Pred source code, very detailed)

This script will setup the nonlinear simulation (UAV_NL.mdl) and call trim and linearization routines. Select the desired aircraft here in this script, via the "UAV_config()" function call.

通过matlab编程，实现了快速傅里叶基4的变换(Through matlab programming, achieve a fast Fourier transform base 4)

It is a file which have matlab code for calculation of geometrical area such as circle,ellipse etc

单径赖斯衰落信道模型源代码,该代码形成于瑞利衰落信道的基础之上(rician fading channel estmation)

利用matlab的m文件写出bpsk的内容，一道作业题。谢谢(Use matlab m-file written bpsk content, a job title. Thank you)

a sparse implementation of the Levenberg Marquadt algorithm for the PARAFAC model and a multi-way incomplete data generator for Matlab.