pca

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.)

设计一个四用户的扩频通信系统，扩频增益为N=16，采用Walsh码进行直接序列扩频，BPSK调制，无线信道为AWGN信道。在接收端进行解扩，解调，判决，通过仿真得到其中一个用户的误比特率与信噪比的仿真结果。(Designed a four-user spread spectrum communication system, spreading gain for N = 16, using Walsh code Direct Sequence Spread Spectrum, BPSK modulation, AWGN channel for the wireless channel. At the receiving end for despreading, demodulation, judgments, through the simulation to be one of a user' s bit error rate and SNR of the simulation results.)

A simple MATLAB Programme for the gamma correction of an image

语音处理的短时时域处理技术中的短时中值滤波(voice when dealing with the short-time domain processing technology of short-term median filtering)

MATLAB PROGRAM TO CHECK CONTROLLABILITY AND OBSERVABILITY

ID3的Matlab实现，其中包含了四个源码文件，熵函数、类别熵函数、递归建立决策树部分、主程序。(ID3 using Matlab)

第7章语音信号的减噪176 7.1自适应滤波器减噪176 7.1.1LMS算法基本原理176 7.1.2基本LMS自适应算法178 7.1.3LMS的自适应陷波器181 7.2谱减法减噪184 7.2.1基本谱减法184 7.2.2改进的谱减法187 7.3维纳滤波法减噪195 7.3.1维纳滤波的基本原理195 7.3.2维纳滤波减噪的具体步骤和函数WienerScalart96197 7.3.3维纳滤波的MATLAB例子199(Noise Chapter 7 of the speech signal noise reduction algorithm for adaptive filters 176 7.1 Fundamentals 7.1.2 Basic LMS adaptive algorithm 176 178 7.1.3LMS of 176 7.1.1LMS adaptive notch filter 181 7.2 184 7.2 spectral subtraction noise reduction 184 7.2.2 .1 basic spectral subtraction improved spectral subtraction method of noise reduction Wiener filter 187 195 7.3 Fundamentals 7.3.1 195 7.3.2 Wiener filtering Wiener filter noise of concrete steps and functions WienerScalart96197 7.3.3-dimensional MATLAB examples Carolina filter 199)

FIR 滤波器的低通，带通，高通实现，matlab(FIR using matlab)

平面型节点散布仿真，用于实现coverage观察(Planar node spread simulation, to achieve coverage observed)

说明：  基于超低功耗微型心电听诊仪的设计.pdf(2006MAY19 ME DSP TS1.pdf)