compress_sensing_without_frame

基于均匀线阵对窄带信号进行波达方向(DOA)估计，具有良好的分辨率。(Based on narrowband uniform linear array of signal DOA (DOA) estimation, with good resolution.)

不考虑发射波形的机载雷达杂波仿真程序，通过这个程序你可以了解机载MIMO雷达杂波信号的基本模型和仿真方法(Do not consider the transmitted waveform airborne radar clutter simulation program, you can learn through this process airborne MIMO radar clutter signal models and simulation methods)

matlab code for gfdm

基于arma模型分析方法的具体实现代码， 可以用，放心下载(Arma model-based analysis code, you can rest assured download)

孤岛检测主动式AFD算法模型及其MATLAB实现(Active AFD islanding detection algorithm model and its MATLAB implementation)

PID用于机器人路径控制的MATLAB程序,路径选择是一个简简单的正弦函数.控制参数是速度和角速度.，已通过测试。 (The MATLAB program PID control for robot path, the path selection is a sine function simply control parameters and angular velocities. Has been tested.)

Sparse MRI Sparse MRI reconstruction based compressed sensing(Sparse MRI reconstruction based compressed sensing Sparse MRI reconstruction based compressed sensing)

new bpf and regress method to sound file

指派问题整数规划,matlab程序，拟分配n 人去干n 项工作，每人干且仅干一项工作，若分配第i 人去干第j项工作，需花费c（i，j） 单位时间，问应如何分配工作才能使工人花费的总时间最少？(Assigned integer programming problem)

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.)