simulink

用Matlab实现最短路径dijkstra算法(Using Matlab to achieve the shortest path dijkstra algorithm)

等腰三角波发生器，在simulink 中有的是锯齿波和三角波的现成模块，可是等腰三角波的就没有了，现提供给大家。(isosceles triangular wave generator, which in some Simulink ramp and triangular wave off-the-shelf modules, But isosceles triangle wave, there is no, it is available to everyone.)

MATLAB CODE FOR CHINESE ENGINEERS

细菌觅食算法的matlab程序，可以正确运行(Matlab procedure for bacterial foraging algorithm)

用于信号的处理，主要是信号的消噪过程，是一种有效的方法(Used in signal processing, mainly signal de-noising process is an effective way)

检测估计和调制理论 迄今为止，本书仍然是公认的关于检测、参数估计和线性与非线性调制波形估计方面的一本论述详尽、深入、成功的著作。也是一本较好的研究生教材。内容是研究发生在通信、雷达和声呐中被噪声污染了的各种线性与非线性调制、随机与非随机波形的最佳处理的数学方法和物理结构，各种系统可能达到的性能极限和影响它的各种因素。全书包括导论、经典检测和估计理论、随机过程的描述、信号检测与信号参数估计、连续波估计、线性估计和讨论等7章。每章附有相当数量的扩大内容范围的习题。 (Detection Estimation and Modulation Theory So far, the book is still recognized on the detection, parameter estimation and estimation of linear and nonlinear modulation waveform s a detailed discussion, thorough and successful work. Is also a good post-graduate teaching. Content is research in communications, radar and sonar noise pollution has been a variety of linear and nonlinear modulated, random and non-random waveforms of the best methods of dealing with the mathematical and physical structure of the performance of the various systems may reach the limit and the various factors affecting it. The book includes introduction, classical detection and estimation theory, stochastic process description, signal detection and signal parameter estimation, continuous-wave estimation, linear estimation and discussion of Chapter 7. Each chapter is accompanied by a considerable number of exercises the expansion of content areas.)

一维有限差分,利用matlab写的代码，有一定学习意义，可以解决一些工程问题(1-D FDTD code with simple radiation boundary conditions)

Digital Water Marking of images

球杆程序 编写的相应程序，一级倒立摆的相关程序，仿真结果(Club program Related procedures, the preparation of the corresponding procedures, an inverted pendulum simulation results)

说明：  硬阈值去噪的MATLAB算法实现 源程序代码(MATLAB hard threshold denoising algorithm source code)