mtlabxianxin

Sound separation by ICA

this program takes the data from an IMU as the input and calculates the body s trajectory ,velocity and attitude . it plots the velocities and euler angles vs time and the body s trajectory

这是一个磁盘读取系统的仿真,可以画出系统响应图，进而分析系统！(This is a CD read system simmulink。It can analyse a system.)

SLAM using Monocular Vision

MATLAB中各代码、函数间的参数传值验证代码，有助于理解matlab中的传值概念(MATLAB, the code, the function returns the value of the parameters between the validation code helps to understand the concept of traditional values ​ ​ in matlab)

用matlab编写的基本粒子群算法，适合于初学者(Using matlab elementary particle swarm algorithm, suitable for beginners)

说明：  小波与近似熵相结合的机械振动噪声信号分析 8.复morlet小波实验程序.(8 Complex Wavelet morlet experimental procedures.)

Due to an increase in demand for and questions about direct disk access for Micrososft platforms, and due to the fact that Microsoft has no API for direct disk access, I am releasing this library much earlier than I intended at that start. I am still working on this code. (Due to an increase in demand for and questio ns about direct disk access for Micrososft plat forms, and due to the fact that Microsoft has no API for d Direct disk access, I am releasing this library much earlier than I i ntended at that start. I am still working on this code.)

mimo空时编码MATLAB仿真程序，实现了mimo空时编码的简单仿真。(MIMO space-time coding MATLAB simulation program, the realization of the MIMO space-time coding a simple simulation.)

说明：  遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.)