Huff

MC（蒙特卡罗）算法计算多节点的通信网性能分析。双向链路可靠性相同。一个有图一个无图(MC (Monte Carlo) algorithm to calculate the multi-node communication network performance analysis. The same two-way link reliability. A diagram of a non-graph)

如何运用matlab中的GUI系统，里面用到了包括pushbutton 和 popumenu。 (How to use the matlab GUI system, which used to include pushbutton and popumenu.)

说明：  用于产生1万个用户的丢包率，呈现正态分布，结果存放在result.txt中(he packet loss rate used to generate 10000 users is normally distributed, and the results are stored in the result.txt in)

In this File, performance evaluation of 4-QAM system in the presence of Automatic Gain Control (AGC) errors using MATLAB Software. The system is designed, modeled and simulated using Simulink to evaluate the Bit Error Rate (BER) of the system in AWGN channel. The system doesn’t have a perfect AGC, but for comparison purposes, the perfect AGC is also included and evaluated.

这是现代数字信号处理课程中涉及到的实验，预测太阳黑子周期的，包含周期图法和burg法。(This is a modern digital signal processing courses related to the experiment, predicted sunspot cycle, including the periodogram method and burg method.)

ARM编程特别是系统初始化代码的编写中通常需要实现中断的响应、解析跳转和返回等操作，以便支持上层应用程序的开发，而这往往是困扰初学者的一个难题。中断处理的编程实现需要深入了解ARM内核和处理器本身的中断特征，从而设计一种快速简便的中断处理机制。需要说明的是，具体的上层高级语言编写的中断服务函数不在本文的讨论范围之内(ARM programming particular system initialization code in preparation usually need to achieve interruption of response Jump and return analysis, etc, in order to support the upper application development, which is often plagued by a problem beginners. Interruption of programming needs in-depth understanding of the ARM processor core and features of the interruption itself, be able to design a simple and rapid interrupt handling mechanism. There is a need to explain the specific upper prepared by the high-level language service interruption is not the function within the scope of discussion)

基于小波稀疏表示的压缩感知SAR 成像算法研究.pdf(A Compressive Sensing Imaging Approach Based on Wavelet Sparse Representation)

(median) Non-Linear Filtering of Images.

一个MATLAB GUI程序，可以方便地用来手动标记正训练样本和负训练样本。 —————————————————— 1.首先输入要标定的数据库目录、要存放正训练样本的目录、要存放负训练样本的目录 2.点击“开始”，程序自动依次显示数据库目录中的图片 3.点击“正例”或“反例”将会把当前图片复制到相应目录 4.可以在图片上点击拖动圈出一个区域，以截取圈出的区域作为样本 5.选中“约束选取比例”可以使得最终选取的样本有固定的大小(A matlab GUI program that can be used to label training samples manually. It contains rich functions)

calcules the harmonic,mean square root and geometric mean