single_end_fault_location

说明：  在MATLAB仿真环境下，通过一具体例子对OFDM系统的的模拟仿真实现(In the MATLAB simulation environment, through a concrete example of the OFDM system simulation Simulation)

Matlab中没有现成的Hermite插值函数，必须编写一个M文件实现插值。 设n个节点的数据以数组x0 （已知点的横坐标）， y0（函数值）， y1（导数值）输入（注意Matlat的数组下标从1开始）， m个插值点以数组x 输入，输出数组y 为m 个插值。编写一个名为hermite.m的M文件。 (Matlab is not off-the-shelf Hermite interpolation function, we must realize the preparation of a document M interpolation. N nodes for the data to an array x0 (known point of abscissa), y0 (function value), y1 (numerical derivative) input (note the subscript Matlat array starting at 1), m to the array of interpolation points x input and output array y for m months interpolation. Hermite.m the preparation of a M-file.)

Maple Bai 6: Nhap xuat

HANKLE阶次辨识在强噪声的情况下通过计算rou的值得到最终的结果。(HANKLE order identification in the case of strong noise by calculating the rou' s worth to the final result.)

We programmed the correction equation of time in minutes per day pendants year

In computer science and information theory, data compression, source coding,[1] or bit-rate reduction involves encoding information using fewer bits than the original representation. Compression can be either be lossy or lossless. Lossless compression reduces bits by identifying and eliminating statistical redundancy. No information is lost in lossless compression. Lossy compression reduces bits by identifying marginally important information and removing it. The process of reducing the size of a data file is popularly referred to as data compression, although its formal name is source coding (coding done at the source of the data, before it is stored or transmitted).

说明：  神经网络与matlab7的实现 配套资料下载 .m格式(neural network and the realization matlab7 supporting information downloaded. M format)

BPSK的R参数分析归一化,求瞬时平方包络均值(BPSK Analysis of the R parameters normalized, and the instantaneous mean-square envelope)

在前人的基础上改进了SVR，更适合进行回归预测方面的实验。(the filec contains a series codes,and the codes have convennion function on regression. )

计算输液管道频率的传递矩阵法,主要是计算RPV系统中的单跨输液管道。(the TMM of liquid-filled pipe)