xunhuanma

说明：  基于matlab的直接序列扩频系统抗干扰性能仿真(Simulation of Anti-jamming Performance of Direct Sequence Spread Spectrum Communication System Based on MATLAB)

汉明码和RS码的编译码的MATLAB源程序(Hamming and RS MATLAB source code encryption)

audio card enumerate searching ok. for multimedia developing project. thank you

模糊神经网络的工具箱函数介绍，大家看看吧(Fuzzy neural network toolbox function introduced, let us look at it)

模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。 (Simulation of a group of birds preying on the scene, so as to achieve the purpose of optimizing the objective function, that is, PSO! At first, where feasible, have a space in a group of random particles, and then let the beginning of each particle in a virtual space to fly in all directions, and each particle they have in mind over the fitness value (that is objective optimization function) the highest point , and the whole particle swarm adaptation has a maximum value of the individual, so that particles in the fly when he had flown as far as possible towards the best point and collective best point. Finally reaching the merits of convergence to approximate most purposes.)

Kinematic Simulation of a Robot Arm in matlab

说明：  基于MATLAB实现的LMS和rls算法，通过测试，可以输出学习曲线和误差曲线(MATLAB-based implementation of the LMS and rls algorithms, testing and can output the learning curve and error curve of)

说明：  这里是我得一些常用函数库，主要用于扩频通信系统仿真(here is that I have some common functions, mainly for spread spectrum communications system simulation)

说明：  matlab中的几种滤波器文件，包括对其的仿真(matlab filter in several documents, including the simulation of its)

本文提出一种新的智能故障诊断方法,基于统计分析,提出了一种改进的距离的评价技术和适应性类神经模糊推论系统(简称ANFIS)。该方法包括三个阶段。　(This paper presents a new approach to intelligent fault diagnosis based on statistics analysis, an improved distance evaluation technique and adaptive neuro-fuzzy inference system (ANFIS). The approach consists of three stages. First, different features, including time-domain statistical characteristics, frequency-domain statistical characteristics and empirical mode decomposition (EMD) energy)