PSOMADS0

改进粒子群优化算法(APSO)的MATLAB源程序,这个是引入自适应权重特征的粒子群优化算法(Improved particle swarm optimization (APSO) algorithm MATLAB source, this is the introduction of the adaptive weight characteristics of particle swarm optimization algorithm )

说明：  BLDC motor speed and torque control using ZETA, cuk, Z-source choppers and comparison with buck-boost chopper

该程序为电子离合器的程序,可以实现有无按纽信号或者刹车信号等判断(The program procedures for the electronic clutch, you can achieve any signal or brake button signals to determine)

对光学系统中常用的正弦振幅型透射光栅进行了仿真，仿真结果有衍射图案和光强沿x轴方向的曲线。(Of the optical system used in the amplitude of the sinusoidal transmission grating-based simulation, simulation results diffraction patterns and light intensity along the x-axis direction of the curve.)

Simulation PHY layer of Wimax 802.16e, including Tx, Channel and Rx, baseband only.

在matlab环境下实现对MP3文件的读写，(read the MP3 in the matlab)

trainig neural networks

15为ADC在simulink环境下的建模(model of 15bit adc in simulink)

MATLAB与C接口的关于求两个数最小公倍数的C语言MEX文件(MATLAB and C interface to request two numbers on the least common multiple of the C-MEX files)

Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p  N). We called the new subspace defined by basis vectors “face space”. First, all training faces are projected onto the face space to find a set of weights that describes the contribution of each vector. Then we project all testing faces onto the face space to obtain a set of weights. Finally, we identify the face by comparing a set of weights for the testing face to sets of weights of training faces.