MultiwayPLS.tar

Particle Filter Design file It contains algorithm for particle filter

基于最小二乘法的抛物面拟合，内含有模拟数据和真是数据供参考。(Contains analog data based on the method of least squares parabolic fitting, and is really data for reference.)

矩阵计算英文版第4版，经典，经典，很不错！！！！！请下载！！！！！！(Matrix Computing English Version 4, classic, classic, very good!!!! Please download!!!!!!)

基二、基四、基八 FFT变化源代码，有详细注解(Second base, the base four or eight FFT-based changes in the source code, detailed comments)

WRF模拟结果气象要素的检验对比，包含均方根误差，偏差和相关系数等(WRF simulation test results comparing meteorological elements, including the root mean square error, deviations and correlation coefficients)

说明：  用于对ADC采集正弦波后得到的数据进行FFT，计算得到ADC的动态性能参数(ADC DYNAMIC TEST(FFT))

《Optimal State Estimation - Kalman, H Infinity, and Nonlinear Approaches》 一书的配套源码，包括了Kalman Filter、Hinf Filter、Particle Filter等的Matlab源码(《Optimal State Estimation- Kalman, H Infinity, and Nonlinear Approaches》source code，including Matlab code of Kalman Filter、Hinf Filter、Particle Filter.)

Orthogonal Polynomials Approximation 数值分析，计算正交基多项式的系数 (Given a function f and a set of m >0 distinct points . You are supposed to write a function to approximate f by an orthogonal polynomial using the exact function values at the given m points with a weight assigned to each point . The total error must be no larger than a given tolerance. Format of function int OPA( double (*f)(double t), int m, double x[], double w[], double c[], double*eps ) where the function pointer double (*f)(double t) defines the function f int m is the number of points double x[] contains points double w[] contains the values of a weight function at the given points x[] double c[] contains the coefficients of the approximation polynomial double*eps is passed into the function as the tolerance for the error, and is supposed to be returned as the value of error. The function OPA is supposed to return the degree of the approximation polynomial. Note: a constant Max_n is defined so that if the total error is still not small enough when n = Ma)

本程序是贝叶斯网络结构学习的K2算法程序，可获取离散变量的贝叶斯网络(This procedure is K2 Bayesian network structure learning algorithm program, available discrete variables Bayesian Network)

电容层析成像的LBP算法演示程序，并带有详细的数据与说明(The LBP algorithm for capacitance tomography demonstrates the program with detailed data and instructions)