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模糊神经解耦,比较长,这个程序对做解耦控制有帮助.(Fuzzy Neural Decoupling, relatively long, the process of decoupling control so helpful.)

这是学习编程很好的书籍，值得参考和学习哦，很实用，很详细(This is a very good book to learn programming, it is worth for reference and learning Oh, very practical, very detailed)

that the performance is improved by increasing N, and probability of detection can be improved by increasing N value even if the SNR is much lower, as long as N is large enough without noise uncertainty.

矩阵分解求逆中的Cholkski分解算法的Matlab仿真。(Inverse matrix decomposition decomposition algorithm in the Matlab simulation Cholkski.)

cvlib_mex为已封装了openCV重要函数的库，PS：此文件供linux系统下64位matlab使用(cvlib_mex as an important function encapsulates the openCV library, PS: This file is for 64-bit linux system using matlab)

MATLAB下DLA二维程序源代码，可以模拟出二维图形并计算分形维数等(MATLAB under the DLA the 2D program source code, you can simulate two-dimensional graphics and calculation of the fractal dimension)

chinapub的高清电子书，关于matlab的教程，看着很舒服，不想买纸质教材的同学的首选。反正我是看着很有感觉，推荐一下。(HD eBook chinapub, matlab tutorial, looked very comfortable and do not want to buy the the paper textbooks of students preferred. Anyway, I was watching the great feeling you recommend.)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

matlab si sis sir 的程序及做图，需要的可以看看(matlab si sis sir)

高炜炳老师1996年写的变结构控制的经典书籍，有助于学习变结构相关的内容(sliding model control of nonlinear system control)