在MATLAB拟合使用GUI代码模型。利用AR，ARMA，MA模型

本函数将利用随机序列进行间隔控制,选择消息隐藏位置(This function will use a random sequence interval control, select the message hidden location)

1-32是：图形应用篇相关的源码33-66是：界面设计篇相关的源码67-84是：图形处理篇相关的源码85-100是：数值分析篇相关的源码eg.实例1：三角函数曲线（1）相关的源码实例2：三角函数曲线（2）相关的源码实例3：图形的叠加相关的源码实例4：双y轴图形的绘制相关的源码实例5：单个轴窗口显示多个图形相关的源码实例6：图形标注相关的源码实例7：条形图形相关的源码实例8：区域图形相关的源码实例9：饼图的绘制相关的源码实例10：阶梯图相关的源码.....matlab初学者可以参考相关的源码

这是2009年huang在EMD基础上改进的算法EEMD的matlab代码！(This is the huang in 2009 based on the improved EMD algorithm EEMD matlab code!)

IEEE Papers on power electronivs Dec

Cosinor analysis uses the least squares method to fit a sine wave to a time series. Cosinor analysis is often used in the analysis of biologic time series that demonstrate predictible rhythms. This method can be used with an unequally spaced time series. Follows cosinor analysis of a time series as outlined by Nelson et al. Methods for Cosinor-Rhythmometry Chronobiologica. 1979. Please consult reference.

二自由度水箱液位控制。简单的小程序，简洁易懂。(Two-freedom level control.simple program.)

从概念上讲，OFDM 是专门的有限差分法，另外一个约束条件是： 所有承运人信号是互相正交的。在 OFDM，子载波频率选择这样子载波正交到彼此，意味着消除子信道间的串扰和载波间保护频带不是必需的。这大大简化了设计，发射机和接收机 ；不同于常规 FDM 单独的过滤器为每个子通道则不需要。正交性要求子载波间隔是 scriptstyleDelta f = {k} {T_U} 压裂赫兹，土秒哪里有用符号持续时间 （接收机侧窗口大小），k 是一个正整数，通常等于 1。因此，与 N 子载波的共通带带宽将 B ≈ N·Δf （赫兹）。正交性还允许高的频谱利用率，与附近的等效基带信号 (即近一半的奈奎斯特率双侧带物理通频带信号） 的奈奎斯特率总的符号率。可以利用几乎整个可用频段。Ofdm 技术一般具有近 "white" 谱，给它良性电磁干扰性能关系其他共道用户。

详细描述了16QAM调制解调的过程，包括星座图，误码率-SNR曲线，升余弦滤波器，抽取，采样信号，信号的基带调制及解调 等。

使用matlab进行数值分析时重要的参考资料，具体包含内容可以看英文描述-This text is written primarily for students/readers who have a good background of high school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus. This text includes the following chapters and appendices: . Introduction to MATLAB . Root Approximations . Sinusoids and Complex Numbers . Matrices and Determinants . Review of Differential Equations . Fourier, Taylor, and Maclaurin Series . Finite Differences and Interpolation . Linear and Parabolic Regression . Solution of Differential Equations by Numerical Methods . Integration by Numerical Methods . Difference Equations . Partial Fraction Expansion . The Gamma and Beta Functions . Orthogonal Functions and Matrix Factorizations . Bessel, Legendre, and Chebyshev Polynomials . Optimization Methods . Difference Equations in Discrete Time Systems . Introduction to Simulink . Ill Conditioned Matrices Each chapter contains numerous practical applications supplemented

Image histogram equalization