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power_surgnetwork.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_surgnetwork.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

matlab例程，非常好用，便以移植,bianyuxuexi(matlab routines, very easy to use, then to transplant, bianyuxuexi)

子载波的分配 考虑每个带宽的大小 及子信道的噪声 最后得出每个基站到用户的分配(Consider the allocation of subcarriers for each channel size and bandwidth of the noise and came to the conclusion of each base station to the user' s allocation)

使用matlab编写的 配电网前推回代潮流计算程序 使用IEEE 33节点配电系统作为算例，可实现弱环网情况下的潮流计算(Matlab prepared using forward and backward substitution distribution network power flow calculation program uses IEEE 33 node power distribution system as an example, can be realized in case of weak-link network flow calculation)

The kernel learning approach method is producing qualitatively and quantitatively satisfactory SR results.

matlab的相关外部接口函数，包括：C，java，fortran等等(matlab external interface related functions, including: C, java, fortran, etc.)

This scheme is also called DPSK since MZ modulator provides the “digital” phase modulation if it is biased at null instead of quadrature. No coherent detection is needed if data is differentially pre-coded.

说明：  5、绘制散点图。 对发射和接收信号利用scatterplot函数可显示信号星座图的样子及噪声对信号造成的失真程度。在该图中，横轴代表了信号的同相分量而纵轴代表了正交分量。下面的代码还利用了 对接收信号利用modem.deqammod对象的demodulate方法进行解调。解调结果为包含0到15之间整数的列向量。 (5, draw a scatter plot. The transmitted and received signals can be displayed using a function of the degree of distortion scatterplot like and noise signals caused by the signal constellation of FIG. In this figure, the horizontal axis represents the in-phase component signal and the vertical axis represents the quadrature component. The following code is also used to demodulate the received signal using the method of demodulating modem.deqammod object. Demodulation result is an integer from 0 to 15 comprising a column vector.)

NFC NDEF Arduino source and example

本MATLAB程序 用MATLAB 来实现3D 图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过3D向量的匹配 来实现3D 图像的配准(The MATLAB program using MATLAB to realize the matching of 3D images using Gaussian convolution to find the key points, re-use the key points of the feature vector through the 3D vector matching to realize 3D image registration)