ELOP II Demo

chirp信号脉冲压缩，用于雷达信号处理，产生chirp信号后进行压缩，以实现高距离分辨力-chirp signal pulse compression for radar signal processing to generate chirp signal is compressed in order to achieve high range resolution

说明：  一个练习打字的游戏，字母下落，恩与字母相同的键就可以大落字母。(a practice typing games, in alphabetical whereabouts TU with the same letters on the keys can drop large letters.)

wireles charging

Wave Digital Filtering Using the MSP430 -Wave Digital Filtering Using the MSP430

用C语言地震合成记录 里面包括计算反射系数 生成雷克子波 等部分 有点长 希望有用(Synthetic seismic records using C language, including calculation of the reflection coefficient which generate Leike Zi Bo and some other little long hoped that a useful)

可实现无冲突的最短路径分配，主要用于航空器的场面滑行过程优化(Realization of the shortest path allocation without conflict)

说明：  UKF无迹卡尔曼滤波算法用于状态参数估计，测试可用(UKF trackless Kalman filter algorithm is used for state parameter estimation)

博优2016写狗+注册机用于破解博优2016系列软件(YUUKFHJMJ,GHGYUFUYFKFHV,K,JGHV,VJ,)

说明：  erp software for test

说明：  在葡萄酒制造业中，对于葡萄酒的分类具有很大意义，因为这涉及到不同种类的葡萄酒的存放以及出售价格，采用神经网络做为分类器可以有效预测相关葡萄酒的种类，从UCI数据库中得到wine数据记录的是在意大利某一地区同一区域上三种不同品种的葡萄酒的化学成分分析，数据里含有178个样本分别属于三个类别(类别标签已给)，每个样本含有13个特征分量(化学成分)，将这178个样本70%做为训练样本，另30%做为测试样本，用训练样本对神经网络分类器进行训练，用得到的模型对测试样本的进行分类标签预测。(In the wine manufacturing industry, classification of wine is of great significance, because it involves the storage and selling price of different kinds of wine. Using neural network as classifier can effectively predict the types of related wine. The wine data recorded from UCI database is the chemical composition of three different kinds of wine in the same region of Italy According to the analysis, 178 samples in the data belong to three categories (the category label has been given). Each sample contains 13 characteristic components (chemical components). 70% of the 178 samples are used as training samples, and 30% are used as test samples. The training samples are used to train the neural network classifier, and the model is used to predict the classification label of the test samples.)