3_110-3

这本 stevenkay 关于谱估计 信号检测 部分的英文书。 要想搞透信号估计，检测，，还是要看看这个的。 这个领域工作的人，若需要讨论，也可以找我。 毕竟能够和你讨论的人，非常少。希望我能帮上一点点。(This stevenkay spectrum estimation signal detection on the part of the English books. To estimate things through signals, detection, or to see that' s. People who work in this area, if necessary to discuss, you can find me. After all, who can discuss with you, very small. Hope I can be a little bit.)

智能天线波束形成的LMS算法，比较齐全，对于研究智能天线波束形成的朋友有参考价值(The smart antenna LMS algorithm of formation, relatively complete)

2010年全国大学生数学建模竞赛A题计算储油罐油量的程序(2010 National Undergraduate Mathematical Contest in Modeling Problem A calculation procedure for oil storage tanks)

在matlab中，采用模糊神经网络对监控水资源(In matlab using fuzzy neural network monitoring water)

实现数据融合，证据理论,有详细的文字说明，便于移植使用(realize data fusion,evidential theroy)

基于MATLAB的28节点辐射状的前推回代法 基于MATLAB的28节点辐射状的前推回代法(Forward and backward substitution method based on MATLAB 28 node radial radial ago 28 node based on MATLAB and backward substitution method)

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 . )

有限单元集成刚度程序，用于计算常见单元刚度矩阵及集成。(beamassemble .ect.)

compressive sensing theory

Matlab2012B_Windows_安装_图文_详细(Matlab2012B_Windows_ installation _ Graphic _)