gaojieqiyizhi

matlab程序，对一个混沌系统进行仿真。 lyapunov.m是计算的主程序；qi_hyper.m是一个例子（qi系统），利用qi_hyper_lyap.m计算所有李氏指数，利用qi_hyper_lyapDim.m计算分形维数。其他系统稍作改正就可使用。经验证程序比其他计算李氏指数的更为有效精确。(matlab program for a simulation of chaotic systems. lyapunov.m are calculated in the main program qi_hyper.m are a case in point (qi system), the use of all qi_hyper_lyap.m calculated Lyapunov exponent, using qi_hyper_lyapDim.m calculated the fractal dimension. Other systems can be used to make some corrections. Experience in the certification process than any other computing Lyapunov exponent of the more effective precision.)

包含了一些重要的小波分析代码，其中分为6个章节。(Contains a number of important wavelet analysis code, which is divided into six chapters.)

说明：  matlab编写，用于哈佛曼编码的程序，通信类课程帮手(Matlab prepared for Harvard Man coding procedures, communications courses helper)

simulation of single phase sinusoidal PWM inverter

说明：  对自由落体运动的MATLAB仿真，不考虑空气阻力。(MATLAB simulation of free-falling movement, without considering air resistance.)

讨论弦振动方程。一个标准弦振动方程，用于物理学和力学的上的振动讨论。通过mathematica 编程。（开发环境无mathematica，选择了接近的matlab）(Discuss a vibration equation. A standard vibration equation, using for mechanical purpose.)

Modulaç ã o AM Simulink

denoise In BayesShrink[5] we determine the threshold for each subband assuming a Generalized Gaussian Distribution(GGD) . The GGD is given by GG¾ X ¯ (x) = C(¾ X ¯ )exp¡ [® (¾ X ¯ )jxj]¯ (6) ¡ 1 < x < 1 ¯ > 0, where ® (¾ X ¯ ) = ¾ ¡ 1 X [ ¡ (3=¯ ) ¡ (1=¯ ) ]1=2 and C(¾ X ¯ ) = ¯ ¢ ® (¾ X ¯ ) 2¡ ( 1 ¯ ) and ¡ (t) = R1 0 e¡ uut¡ 1du. The parameter ¾ X is the standard deviation and ¯ is the shape parameter It has been observed[5] that with a shape parameter ¯ ranging from 0.5 to 1, we can describe the the distribution of coefficients in a subband for a large set of natural images.Assuming such a distribution for the wavelet coefficients, we empirically estimate ¯ and ¾ X for each subband and try to find the threshold T which minimizes the Bayesian Risk, i.e, the expected value of the mean square error.

MATLAB 7简明教程,里面有十章的所有程序。(MATLAB 7 simple tutorial)

在不同信噪比情况下的MUSIC的成功概率(In the case of different signal to noise ratio of success probability of the MUSIC)