ki2700Res_w

香农—费诺编码的MATLAB实现，程序已在，可直接运行(Shannon- Fenno encoded MATLAB realization of the process had been in the direct operation)

在matlab中实现心10s电数据动态显示(In the heart of the matlab realize 10s electricity dynamic data display)

读取计算机上的图片，图片格式的转换，并对二值化的图像进行radon变换，变换角度分别是0°、25°(Read the pictures on your computer, convert image format, and binarized image radon transform, transform angle are 0,25)

宽带波束形成 倍频程波束形成 恒定束宽波束形成(Broadband Beamforming Beamforming octave constant beamwidth beamforming)

代码描述了多芯光纤的基本传输模型，其中包括了损耗，色散，非线性，以及芯与芯之间的串扰。(Code describes the basic model of the multi-core optical fiber transmission, including crosstalk loss, dispersion, nonlinearity, and between the core and the core.)

simulation matlab about transformers

用matalab编制的绘制海流矢量图的程序，压缩包内有几个示例数据(Vector drawing program with currents matalab prepared, there are several examples in the package data compression)

IEEE802.11a系统级仿真完整程序，包含发送端，接收端以及信道建模等(IEEE802.11a complete system-level simulation, including the sending end, the receiver, channel modeling, can be used to run a bit error rate, frame error rate, etc.)

用于实现MMC的控制输出，三相的输出控制(Used to achieve control output of MMC)

共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)