C4_5

倒立摆的模型，通过利用matlab中的simulink仿真模块构造出了一个完整的倒立摆系统(Inverted pendulum model, by using the simulink matlab simulation module to construct a complete system of inverted pendulum)

了解matlab的GUI是如何使用。并对发动机进行交互界面开发。(Understand how to use matlab GUI is. And the engine interface development. )

哈弗曼编码的原程序代码，用于嵌入图像编码的源程序。(Havermann encoding the original program code, source code for the embedded image.)

射频电路中各组件模拟，包括放大器、环形器、转接头、测试单元、smith源等(tools in radio frequency circuit, including amplifiers circles conversion networks smith.)

使用PCA算法进行基于数据的故障诊断的程序(Data - based fault diagnosis program using PCA algorithm)

本书是关于无线衰落信道方面的一本好书，书中内含MATLAB代码！ (All relevant components of a mobile radio system, from digital modulation techniques over channel coding through to network aspects, are determined by the propagation characteristics of the channel. Therefore, a precise knowledge of mobile radio channels is crucial for the development, evaluation and test of current and future mobile radio communication systems. This volume deals with the modelling, analysis, and simulation of mobile fading channels and provides a fundamental understanding of many issues that are currently being investigated in the area of mobile fading channel modelling. The author strongly emphasises the detailed derivation of the presented channel models and conveys a high degree of mathematical unity to the reader. Introduces the fundamentals of stochastic and deterministic channel models Features the modelling and simulation of frequency-nonselective fading channels (Rayleigh channels, Rice channels, generalized Rice channels, Nakagami channels, various types )

讲述了OFDM的一些基本知识，包含框图，及OFDM的优缺点等。对OFDM有个全面认识。(OFDM about some of the basics, including block diagram, and the advantages and disadvantages of OFDM and so on. Have a comprehensive understanding of OFDM.)

DFS in Matlab, Depth First Search

These are MATLAB codes for implementing Chebyshev-Type 2 Bandpass and Bandstop filters.

Function uses Standard Hough Transform to detect circles in a binary image. According to the Hough Transform for circles, each pixel in image space corresponds to a circle in Hough space and vise versa. Upper left corner of image is the origin of coordinate system.