Kalman01

function [ H ,S ] = HS( f ) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1=diff(f,x1) f2=diff(f,x2) S= [f1 f2] H = [diff(f1,x1) diff(f1,x2) diff(f2,x1) diff(f2,x2)] end s0=subs(S,findsym(S),[0 0])(function [H, S] = HS (f) UNTITLED2 Summary of this function goes here Detailed explanation goes here syms x1 x2 f1 = diff (f, x1) f2 = diff (f, x2) S = [f1 f2] H = [diff (f1, x1) diff (f1, x2) diff (f2, x1) diff (f2, x2)] end s0 = subs (S, findsym (S), [0 0 ]))

IEEE33 节点的MATPOWER潮流计算数据模版(MATPOWER power flow data template for IEEE33 nodes)

说明：  捷联惯导系统传递对准MATLAB程序，加时间延迟，但是不进行补偿。(SINS Transfer Alignment MATLAB procedures, plus time-delay, but not be compensated.)

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.

说明：  运用势流理论计算圆柱绕流附加质量系数的matlab程序(Matlab program using potential flow theory to calculate additional mass coefficients around a cylinder)

遗传算法程序包，包括用GA直接训练BP网络的权重算法，用GA先求BP网络的权重，再用纯BP直接训练BP的混合GA－BP算法，以及纯BP算法(Genetic Algorithm package, including direct training GA weight of BP network algorithm, first used GA for the weight of BP network, and then trained BP net BP mixed directly GA-BP algorithm, as well as the pure BP algorithm)

说明：  基于MATLAB的抑制载波双边带调频仿真(MATLAB-based carrier suppression double sideband modulation simulation)

this the code of hybrid big-bang big-crunch algorithm in matlab

小波分析理论与MATALB R2007 实现第十一章演示代码(The wavelet analysis theory and MATALB R2007 A Chapter XI demo code)

高数书上的数学实验，要求使用mathmatic做的(High number of books on mathematics test, do require the use of mathmatic)