CP0302_PPM_PERIODIC

使用四种方法实现对轴承振动数据的自回归谱（AR）分析，并带有数据(Using four methods to realize auto regressive (AR) analysis of the bearing vibration data, and have the data)

Objective of the program is to solve for the steady state voltage distribution of the inside region of a microstrip and then using that obtain the electric field distribution in the region using quiver plot. The microstrip comprises of a region given by 0<x<7 units and 0<y<2 units in the coordinate system bounded by four capacitor plates on all the sides of the region. The region comprises of a material with relative permittivity 1 from 0<y<1 units and a material of relative permittivity 9.6 from 1<y<2 units. The microstrip extends indefinitely in the z-direction. The sides of the region are given Dirichlet boundary condition. A horizontal microstrip line is placed at the center of the region. The microstrip is excited with a voltage of 1 Volt and all surrounding plates are maintained at 0 Volts.

Matlab常用函数集合，分类清楚，且有功能描述，查询方便(Matlab common function set, clear classification, and functional description, convenient query)

Field of Digital Communications. Topic: Diversity Combining Matlab Program (m File) for exploiting Receiver Antenna Diversity: Performance Analysis of Maximal Ration Combining (MRC) and Equal Gain Combining EGC (EGC) with 2 Receiver Antennas

曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法基于USFFFT，可以更高效的进行去噪(Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm based on USFFFT, can be more efficient denoising)

在瑞利衰落和高斯白噪声下dpsk调制对于不同信噪比的误码率(bit error rate of the dpsk modulation in Rayleigh fading and Gaussian white noise for different signal to noise ratio)

Implementation of ARMA Proess of sample data.

利用超模博弈论解决认知无线网中的频谱资源分配问题。(Use supermodular game theory to solve spectrum resources allocation problem in cognitive radio networks.)

在C++中访问IBuffer类中的数据，开发环境：Windows 8, visual studio 2012(How to access data in an IBuffer in C++)

这里面的是matlab代码，能够实现图像的分割和特征的提取，很实用(There is a matlab code to achieve segmentation and feature extraction of image，Very practical)