moead_cec2009_2011version

详细讲解了matlab中PDE工具箱的应用,附有具体的例子并附图说明()

Model on Matlab of acoustic position system

说明：  《普林斯顿科学文库2-天遇混沌与稳定性的起源》 《普林斯顿科学文库2-天遇混沌与稳定性的起源》(&quot Princeton Science Library 2- day event of the origin of chaos and stability,&quot &quot Princeton Science Library 2- day event of the origin of chaos and stability,&quot )

In MATLAB, usually we use function bvp4c() to solve boundary value problem (BVP) of ODE. However, we also can use function ode45() to solve BVP of ODE too. However, ode45() needs all initial values at one point. Therefore we have to construct an auxiliary function, whose input argument is the missing initial value and the return output is the given boundary value, Then we can call function fsolve() to get the missing initial value. This method is particularly efficient it the ODE has one or more parameters. Also this method is essentilal for GNU Octave, because whose function bvp4c() is not programmed for parameter ODE yet.

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

傅立叶计算以及短时傅立叶计算、功率谱分析及各自图形(Fourier calculation and short-time Fourier, power spectrum analysis and their own graphics)

针对阵列信号处理中的相干源DOA估计问题，提出了改进的前后向空间平滑，并利用MUSIC实现DOA高精度估计(For coherent source DOA estimation in array signal processing, and put forward the improvement to the space before and after the smooth, and use the MUSIC to realize DOA estimate precision )

edge detection for road edge

进退法 罚函数法 0.618方法程序过程 分别用matlab以及c两种语言(0.618 retreat France penalty function methods and procedures to process)

对振动信号进行小波包分解，并以小波包的节点能量作为特征进行了提取。(The vibration signal is decomposed by wavelet packet, and the node energy of wavelet packet is taken as the feature to extract the vibration signal.)