Lyapunov

说明：   接收设备能对外界信息正确的接收、分析、处理的重要性是不言而喻的,它关系到社会的发展、人类的进步。然而在有用信号中往往伴随着噪声的存在。这种噪声分为电路内部固有的噪声与系统装置从外部接收而来的噪声。电路内部的噪声是系统固有的，与外界干扰无关，它可以通过对电路的合理设计、选择合理的元器件而得以控制。外部噪声主要由近几年的电子技术的高速发展，电子、电气设备的广泛应用而带来的电磁干扰引起的。这种噪声现象在工业发达的城市非常突出，它对各种系统接收装置的影响也越来越严重，使得这些系统装置不能正常工作，使得这些系统装置性能降低，甚至使得这些系统装置受到损坏。战胜噪声已是现代电子技术发展道路上必须逾越的巨大障碍。要解决噪声带来的问题需要我们从最基本的干扰源、信息传输通道（信道）、系统装置电路下手。(The receiving device and system noise)

图像的双线性插值程序，在两个方向分别进行一次线性插值。(Bilinear interpolation process of the image in both directions, respectively for a linear interpolation.)

lvq vector quantization algorithm for the simulation program Matlab.

说明：  文章详细介绍了在OFDM系统中基于导频或训练序列的信道估计方法(Article described in detail in the OFDM system based on pilot or training sequence channel estimation methods)

说明：  扩频通信中的同步研究，基于matlab的(Synchronization of spread spectrum communication research, based on the matlab)

MM1排队系统的matlab仿真。整个系统的仿真采用了离散事件系统仿真，并统计稳态分布、平均队列长度，等待时间的分布以及平均等待时间等值，以与理论分析结果进行对比，得到了较为满意的结果，同时还完成了统计曲线的绘制并进行了分析。(MM1 queuing system with matlab simulation. The simulation of the entire system using discrete event simulation, and statistical steady state distribution, the average queue length, waiting time distribution and the average waiting time equivalents, compared with the theoretical analysis, have been more satisfied with the results, and also completed statistical curve is drawn and analyzed.)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)

模糊PID的MATLAB仿真...应用模糊逻辑理论在线修正P，I，D的三个参数(MATLAB simulation of the fuzzy PID fuzzy logic theory ... applications online amendment P, I, D of the three parameters)

说明：  自己编写的使用聚类方法进行彩色图象分割 效果还可以(themselves prepared for the use of clustering methods color image segmentation can also effect)

For finding the MFCC coefficients this is coded easily