smgp30demo

Audio compression and recording

干扰可分为窄带和宽带，本程序主要针对宽带干扰信号进行编写(Interference can be divided into narrowband and broadband, the program is aimed at a broadband signal BPSK modulation )

matlab设计小数延时滤波器：滤波器长度,期望延迟量可调整(matlab design fractional delay filter: filter length, adjustable delay expected)

说明：  matlab遗传算法工具箱及应用，对于遗传算法中的通用问题和各种函数都给出了详细的参考。(MATLAB genetic algorithm toolbox and its application, for the general problems of genetic algorithm and a variety of functions are given a detailed reference.)

说明：  计算遗传算法的变成文件，基于车辆路径优化问题。(Computational genetic algorithm)

In this programe a highly scattered enviroment is considered. The Capacity of a MIMO channel with nt transmit antenna and nr recieve antenna is analyzed. The power in parallel channel (after SVD decomposition) is distributed as water-filling algorithm

一个可以画四个纵坐标的Matlab程序，包括一个测试文件(One can draw four vertical coordinates of the Matlab procedures, including a test file)

Adaptive Composite Differential Evolution Algorithm 自适应复合差分进化算法(Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters)

The aim of this paper is to describe a novel and completely automated technique for carotid artery (CA) recognition, far (distal) wall segmentation, and intima–media thickness (IMT) measurement, which is a strong clinical tool for risk assessment for cardiovascular diseases. The architecture of completely automated multiresolution edge snapper (CAMES) consists of the following two stages: 1) automated CA recognition based on a combination of scale–space and statistical classification in a multiresolution framework and 2) automated segmentation of lumen–intima

灰色预测方法的特点表现在：首先是它把离散数据视为连续变量在其变化过程中所取的离散值，从而可利用微分方程式处理数据；而不直接使用原始数据而是由它产生累加生成数，对生成数列使用微分方程模型。这样，可以抵消大部分随机误差，显示出规律性。(The characteristics of the grey prediction method are as follows: First, it regards the discrete data as the discrete value of the continuous variable in its change process, so that the differential equation can be used to process the data; instead of using the original data directly, it generates the cumulative generation. Number, using a differential equation model for generating a series. In this way, most of the random errors can be offset, showing regularity.)