matlab

MATLAB设计对信号进行频谱分析和滤波处理的程序(MATLAB design of signal spectral analysis and filtering procedure)

本程序为将WuYufei的turbo码中随机交织器程序改为分组交织器的程序，此分组交织器为20by20实现行入列出功能，经调试可用(This procedure will be WuYufei random interleaver of turbo codes in the program changed to packet interleaver process, this packet interleaver row into the list for the 20by20 achieve functionality, can be used by the debugging)

加权余量法--子域法求解一维扩散方程。参考书《Computational Techniques for Fluid Dynamics》(The weighted residual Law- sub-domain method for solving one-dimensional diffusion equation. Reference book " Computational Techniques for Fluid Dynamics" )

it s a matlab code for reduce gray level

inverse-dual tree discrete wavelet transform (i-dtdwt) matlab codes

An effective implicit time integration scheme was proposed for the fi nite element solution of nonlinear problems in structural dynamics. Various important attributes were demonstrated. In particular, it was shown that the scheme remains stable, without the use of adjustable parameters, when the commonly used trapezoidal rule results in unstable solutions. In this paper we focus on additional important attributes of the scheme, and specifi cally on showing that the procedure can also be effective in linear analyses. We give, in comparison to other methods, the spectral radius, period elongation, and amplitude decay of the scheme and study the solution of a simple ‘model problem’ with a very fl exible and stiff response.

基于机器学习方法的脑电信号自动分类研究 基于机器学习方法的脑电信号自动分类研究(Automatic classification based on machine learning method of eeg signals)

PCA降维实例，使用数据集，数据集衡量美国329个城市生活质量的9个指标：气候、住房、健康、犯罪率、交通、教育、艺术、娱乐和经济。对于各指标，越高表示越好，如高的犯罪指标表示低的犯罪率。(PCA dimensionality reduction example uses data sets and data sets to measure 9 indicators of quality of life in 329 cities: climate, housing, health, crime rate, transportation, education, art, entertainment and economy. For each index, the higher the better, as the high crime indicator indicates a low rate of crime.)

说明：  主要功能： 1.完成传感器对目标状态的kalman滤波估计； 2.对传感器的状态估计进行SCC和CI融合； 3.画出位置及速度的估计和融合误差曲线、真实航迹及融合后航迹、K=1时刻的协方差椭圆(Main functions: 1. The Kalman filter estimation of the target state is completed; 2. The state estimation of sensors is fused by SCC and CI; 3. Draw the error curve of position and velocity estimation and fusion, real track and fusion track, covariance ellipse at k = 1)

用间接周期图法，分别对有噪声和无噪声的信号进行谱估计。(Indirect cycle diagram, respectively noise and noise-free signal spectrum estimation.)