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The simulation based on the Matlab Simulink of the moden communication system.

说明：  最新版libsvm安装包和SVM回归预测模型，包含预测数据集(SVM regression prediction model)

It is an other signal processor, made in matlab. Enjoy

采用数值计算FDTD计算了一个开缝金属腔体的屏蔽效能(FDTD numerical calculation using a slotted metal cavity shielding effectiveness)

用matlab仿真的空时分组码2根发射天线一根接收天线(Matlab simulation using space-time block codes two antennas a receiving antenna)

analysis dc dc converter

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

用matlabGUI界面实现了不同方法的功率谱估计(Power spectrum estimation GUI)

永磁同步电机矢量控制的仿真搭建，基于PID控制以及滑模控制，分数阶PID控制和分数阶滑模控制等(Permanent magnet synchronous motor vector control simulation, based on the PID control and sliding mode control, fractional order PID control and the fractional order sliding mode control, etc )

二相编码信号的三次相位函数的matlab程序，自己编的，希望大家批评指正(cubic phase function of BPSK)