课程作业时的小波去噪的思想代码

基于matlab的模态分析1，可以进行采样数据的模态分析，获得振型，阻尼比，频率等(Based matlab die state analysis, modal analysis of the sampling data obtained modes, damping ratio, frequency, etc.)

用matlab实现B样条曲线用matlab实现B样条曲线用matlab实现B样条曲线用matlab实现B样条曲线(B-spline curve In matlab)

基于Matlab的米勒编码仿真 实现RFID的Miller编码 (Miller coding to achieve)

说明：  simulink工具箱的入门PPT讲解，有附带m文件，强烈推荐(simulink toolbox PPT talks, with m files are strongly recommended)

可以计算图像的信噪比，适合初学者使用，采用matlab编写(Can calculate the signal to noise ratio images, suitable for beginners to use, using matlab)

利用matlab编写三次样条插值法拟合函数的一般化程序(Cubic spline function using matlab fit function generalization programming)

this is matlab program for pi/4 qpsk modulation

svm的一种特征选择方法，基因选取算去，减少特征数量，减少运算时间，也可提高运算精度(svm a feature selection method, gene selection operator to reduce the number of features to reduce the computation time, but also can improve the calculation accuracy)

测试可以跑，根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个（原文献说最好与参考点个数相同）个体的初始种群，其中 N 是种群大小。接下来，算法进行迭代直至终止条件满足。在第 t 代，算法在当前种群 Pt的基础上，通过随机选择，模拟两点交叉（Simulated Binary Crossover，SBX）和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此，两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代，首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层（F1，F2等等）。然后，算法构建一个新的种群St，构建方法是从 F1开始，逐次将各非支配层的解加入到 St，直至 St的大小等于 N，或首次大于 N。假设最后可以接受的非支配层是 L层，那么在 L+ 1 层以及之后的那些解就被丢弃掉了，且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取，选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)

此函数用于产生脉冲超宽带系统的训练序列的波形。输出参数有三个：bits--发送的数据,stx--发送的信号,ref--参考信号 发送端调制方式为TH-PAM(The emerging ultra-wideband (UWB) system offers a great potential for high data rate wireless multimedia applications of the home entertainment and industry, as well as for low data rate sensor networks involving low power devices~cite{paragraph1}. One of the most acute challenges in realizing these potentials of the UWB systems is the timing acquisition. Timing errors as small as fractions of a nanosecond could seriously degrade the system performance~cite{paragraph21}. The difficulty in UWB synchronization arises from UWB signals being the ultrashort low-duty-cycle pulses operating at very low power density.)