DCTyinxie

Weka based algorithms for clustering purposes

无先导粒子滤波器工具箱，并附带pf，kf，Ukf程序，用于跟踪估计(without leading particle filter toolbox and fringe pf, kf, Ukf procedures for tracking estimates)

matlab对随机振动状态分析,及功率谱的生成与分析等(matlab for random vibration analysis of state)

nsga-2算法实现多目标优化,改进了nsga算法。是一种先进的遗传算法(nsga-2 multi-objective optimization algorithm, improved nsga algorithm. Is an advanced genetic algorithm)

说明：  matlab混沌工具箱，包括C_C方法，wolf计算最大Lyapunov指数法等，不同于陆振波的，本工具箱中的函数均可见，完全免费版本(Chaos matlab toolbox, including C_C methods, wolf calculate the largest Lyapunov exponent method, etc., unlike the陆振波, the toolbox function are visible, completely free version)

D-S证据理论以及D-S证据合成规则matlab实现 封装成函数简单易用(D-S evidence theory & D-S evidence synthesis matlab programing)

orthogonal projection algorithm

当信噪比较大时，采用广义最小二乘法可能会出现多个局部收敛点，解决这个问题的方法可用多级最小二乘法，一般来说多级最小二乘法包含三级辨识过程。利用输入输出数据，通过多级最小二乘法，可分别求的辅助模型，过程模型和噪声模型的参数估计值。在高噪声的情况下，多级最小二乘法明显优于广义最小二乘法，其收敛点唯一。(When the signal noise ratio (SNR), and by use of the generalized least squares method may appear more local convergence point, the way of solving this problem can be used multistage least squares method, and generally multistage least squares method includes three identification process. Using input/output data, through the multistage least squares, respectively for the auxiliary model, process model and noise model parameter estimation. In the high noise, multistage least squares method is obviously superior to the generalized least squares method, and its convergence point only.)

introduction to matlab

求解基尼系数的MATLAB代码，即求解两组数据的相关性(gini coeficent code of matlab)