kalman

LDPC编译码的matlab仿真。内涵源程序以及文章说明，希望对大家有所帮助(LDPC codec matlab simulation. Source and content of the article shows, we want to help)

内有7位巴克码、13位巴克码的产生程序以及有两个目标时产生回波并对回波进行I/Q（正交）解调，并显示压缩后时域信号(There are 7 Barker code, 13 Barker code generation process, and generate two target echo and echo for I/Q (quadrature) demodulation, and display time-domain signal after compression)

多小波中应用最多的就是DGHM多小波，该多小波有很好的去噪效果。(Multiwavelet Medium is the most widely used DGHM multiwavelet, the multiwavelet denoising has very good effect.)

说明：  供应链的风险评估源代码，推荐，有用，希望大家喜欢，是我上传的动力。。。(it is good for the new man。)

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.)

多用户检测 解相关 mmse 并比较各种检测的效果(Decorrelation mmse multiuser detection test results and compare)

Simple merge of two Simulink models, hilighting differences.

本程序是根据二相编码信号脉冲压缩原理所编写的压缩脉冲信号，用于雷达编码(The program is written based on the principle of pulse compression of two-phase encoded signals compressed pulse signal for radar coding)

说明：  基于matlab的图像的检测与识别，车牌识别系统(Matlab image based on the detection and recognition, license plate recognition system)

face detected in matlab SVM algorithm