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ukf
- EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精
Estimating19609112312005
- Simple exercise that calculate the Taylor expansion of the exponential function. Input variables: degree N vector of evaluation points, x At each step plots the Taylor polynomial and compare with the real function function y=
misc2
- Simple exercise that calculate the Taylor expansion of the exponential function. Input variables: degree N vector of evaluation points, x At each step plots the Taylor polynomial and compare with the real function function y=
KernelDS
- 基于泰勒技术展开的自适应滤波函数的图像处理，可实现去噪，超分辨率，去除马赛克等-Taylor expansion based on adaptive filtering techniques of image processing functions can be realized denoising, super resolution, remove mosaic
cos
- 用泰勒公式实现余弦函数的计算，使用汇编的方法，里面用到了32位的运算方法，灵活应用了定点运算的思想。-Cosine function with the Taylor formula to achieve the calculation method using the assembly, which uses 32-bit computing method, flexible application of the fixed-point arithmetic thinking.
gan1
- 泰勒杆仿真及K文件源代码，用于分析应力应变-Rod Taylor, Simulation and K file source code for the analysis of stress and strain
Interpolation
- Chapter 4. Interpolation and Polynomial Approximation Algorithm 4.1 Evaluation of a Taylor Series Algorithm 4.2 Polynomial Calculus Algorithm 4.3 Lagrange Approximation Algorithm 4.4 Nested Multiplication with Multiple Centers Algor
Attitude-SINS
- 姿态角仿真 MATLAB 捷联惯导 三阶泰勒 四阶龙格库塔-MATLAB simulation Attitude SINS fourth order Runge-Kutta third-order Taylor
chap11
- syms x g=exp(x*sin(x)) t=taylor(g,12,2) xd = 1:0.05:3 yd = subs(g,x,xd) ezplot(t, [1,3]) hold on plot(xd, yd, r-. ) title( Taylor approximation vs. actual function ) legend( Taylor , Function )-syms x g = exp (x* sin (x)) t = tayl
chap9
- syms x g=exp(x*sin(x)) t=taylor(g,12,2) xd = 1:0.05:3 yd = subs(g,x,xd) ezplot(t, [1,3]) hold on plot(xd, yd, r-. ) title( Taylor approximation vs. actual function ) legend( Taylor , Function )-syms x g = exp (x* sin (x)) t = tayl
jianmo
- syms x g=exp(x*sin(x)) t=taylor(g,12,2) xd = 1:0.05:3 yd = subs(g,x,xd) ezplot(t, [1,3]) hold on plot(xd, yd, r-. ) title( Taylor approximation vs. actual function ) legend( Taylor , Function )-syms x g = exp (x* sin (x)) t = tayl
FusJHFDGion
- 本程序实现多算法协同定位中第一层数据融合，将CHAN算法结果和泰勒算法结果经过残差加权算法加权代码，已通过测试。-The program co-location multi-algorithm in the first layer data fusion, the algorithm results and Taylor algorithm CHAN results through a weighted residual weighting algorithm code has been tes
e^n
- 采用泰勒展开和RK算法在vs2005下求解e的x次方（x可从-10到10），精确到小数点后30位-Taylor and RK algorithm used in vs2005 solution under the e-th power of x (x can be from-10 to 10), accurate to 30 decimal
r-t
- use 3-order weno to solve Rayleigh-Taylor instability-3-order weno
Matlab
- Gauss Seidel 解数学矩阵方程 Bisection 解1元高次方程 Newton Method 解高次方程 Taylor series 泰勒公式求方程近似解-In numerical linear algebra, the Gauss–Seidel method, also known as the Liebmann method or the method of successive displacement, is an iterative method used to
Matlab
- 自学matlab必备的60个小例子，包括牛顿插值、taylor解常微分方程等算法的matlab实现源代码，保证正确-It includes 60 examples of the code of matlab
LnX
- 计算ln(x)，使用Taylor和Richardson两种主要方法。-Calculate the function ln(x)
Adaptive_Filtering_Primer_with_MATLAB
- Book,Adaptive_Filtering_Primer_with_MATLAB Pubnlished in 2006 by CRC press Taylor & Francis Group
The-Mythical-Man-Month
- 中译本《人月神话》，二十周年纪念版，软件项目管理经理人员必备书籍之一-Taylor, The Mythical Man-Month, twenty mythical man-month-essays, software project management personnel manager for one of the books
chantaylor
- TDOA chan taylor 联合算法-TDOA chan taylor