diandianhedianchang

这是QAM信号和PSK信号产生程序，可以生成16-QAM,32-QAM,64-QAM和M进制psk信号。(This is PSK and QAM signals a process can generate 16-QAM ,32-QAM. 64-M and 229 QAM signals psk.)

gabor for fingerprint

Nearest positive semi-definite covariance matrix MATLAB fucntion (by Marco.B, BSD license)

说明：  Matlab与C#混合编程的实现 实现matlab和c#混合编程的多种方法(matlab C# mixure coding)

My package is all about counting chicken eggs in a tray using camera, from image processing to GUI, it supports presenting the present result, past result, and total result

64QAM的基带系统仿真，计算随机0、1数据经64QAM调制后的星座图，8倍上采样后图形，滤波后图形，接收端图形，比较不同信噪比下的误码率(64QAM baseband system simulation, calculation data randomly 0,1 modulated by 64QAM constellation, the 8 times the sampled pattern, filter pattern graphic receiving end, error rate under different SNR)

matlab图形应用篇,三角函数曲线,图形的叠加双y轴图形的绘制,单个轴窗口显示多个图形等32个程序(matlab graphics applications articles, trigonometric curves, the superposition of two-y-axis graph drawing, a single axis of the window display multiple graphics programs such as 32)

理论知识是用来指导具体实践的。本文在深刻理解通信系统理论的基础上利用 MATLAB 强大的仿真功能，设计了许多具体的通信系统仿真模型。在仿真模型设计过程中，本文对模型设计的目的、具体的结构组成、仿真流程以及仿真结果都给出了具体详实的分析和说明。(Theoretical knowledge is used to guide the specific practice. In this paper, a deep understanding of the theory of communication systems using MATLAB based on the powerful simulation function, the design of a number of specific communication system simulation model. In the simulation model of the design process, this article is designed on the model, the specific structural components, simulation and flow simulation results are given specific and detailed analysis and description.)

该matlab函数用于计算雷达信号的模糊函数图、距离模糊函数图和速度模糊函数图(failed to translate)

BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".