1_Transformer_1phase

MATLAB OFDM系统中PAPR计算(MATLAB OFDM PAPR computing systems)

本文通过事例用matlab编程曲线拟合，包含编程源代码，以及具体的案例和结果(In this paper, by the example of programming with MATLAB curve fitting, including programming source code, as well as the concrete case and the results)

DTMF function code of goertzel, it can be applied to any audio file so it is really helpful for others!

声波在水中传播计算的matlab工具箱，包括射线模型、简正波模型、快速场模型等(underwater acoustic Simulaton toolbox for matlab)

最优波束形成算法（标准矩形阵列的波束方向图的幅度、切面极坐标、切面图、幅度等高线图等）(Optimal beamforming algorithm (standard rectangular array beam pattern amplitude, the section in polar coordinates, the section map, magnitude contour map, etc.))

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)

与传统的小波分解相比，提升小波可以实现整数小波变换，其方法与一般去噪法相同，都是对小波分解的高频系数进行阈值量化来达到去噪的目的。(Compared with the traditional wavelet, lifting wavelet can achieve integer wavelet transform, its the same way as regular de-noising method, are the high-frequency coefficients of wavelet decomposition threshold quantization to achieve the purpose of de-noising.)

关于自适应滤波，均衡算法的几个M程序，采用的算法分别是LMS，NLMS，RLS等等(several matlab programs are about adaptive filter and equalization for communication system. The algorithm is LMS, NLMS and RLS.)

说明：  目前使用最为广泛的多目标优化算法，可用于求解多个目标函数的优化问题(Multi objective optimization algorithm)

this file perform convolutionalencoding