lda

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)

用matlab编写雷达目标检测程序，并用MTI技术抑制杂波。(Radar target detection using matlab program, and suppress the clutter with MTI Technology.)

Bottom Up Profiling shows the entire callstack backwards.

利用差分进化算法（Differential Evolution）实现对经典函数sphere的验证(The use of differential evolution algorithm (Differential Evolution) to achieve the verification of classical function of sphere)

病态系统求解方法比较：龙格库塔4固定步长、变步长、吉尔法(Pathological system solving methods: Runge-Kutta 4 fixed step size, variable step size, Gill Law)

传递矩阵法计算转子固有频率，大转子，prhol传递矩阵法(Transfer matrix method the rotor natural frequency, the greater trochanter, prhol transfer matrix method)

关于利用matlab进行系统建模与仿真的全面资料，并附有多个仿真参考实例(On the use of matlab for system modeling and simulation of the full information with reference to instances of multiple simulation)

ergodic capacity for MIMO channel known and unknown to tx

说明：  经验模式分解EMD方法。可用于数据挖掘中的很多领域(EMD method of empirical mode decomposition. Can be used for data mining in many areas)

This is a matlab code sampleFreeNoise