罚函数法

Introduction to Random Signals and Applied Kalman Filtering 书中.M文件(MFILES of Introduction_to_Random_Signals_and_Applied_Kalman_Filtering)

computer graphics on matlab

说明：  串级PID控制 控制顺序先主回路后副回路(Cascade PID control loop sequence after the first deputy main loop)

该matlab程序仿真了旁瓣对消系统，旁瓣对消是自适应阵列处理的重要方面(The matlab simulation, the sidelobe cancellation system of sidelobe cancellation is an important aspect of adaptive array processing )

error correcting matlab codes for primitive polynomial, vector speces

FIS desing in the matlab

CrcStream stream checksum calculator

EMD方法的一個例子， 鍵入 >>U5() >>U6() (EMD method an example, type>> U5 ()>> U6 ())

实现图像的配准，其中包括平移、旋转、滤波器、优化算法等！(To achieve image registration, including translation, rotation, filters, optimization, etc.!)

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.