3.Matlab-data

matlab 用PSO 解决背包问题 (matlab solve the knapsack problem with PSO)

This m-file applies uniform quantization on a given audio signal called music_ee6424.wav It then plots waveforms and gives the Mean Square Quantization Error (MSQE)

说明：  使用PPPA计算Pareto中的超体积指标(Using PPPA to calculate Supervolume index in Pareto)

Neighborhood rough set based feature evaluation and reduction

基于DIT任意基的FFT的程序 MATLAB实现 蝶形图(DIT-FFT MATLAB)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

matlab7.0 下的一个模拟薄膜蒙特卡洛生长的DLA模型(a sample DLA model for film growth with matlab7.0)

电力系统故障计算，可以计算单相短路，单相接地短路，三相短路，两相短路接地，两相短路(power system fault, can calculate the single-phase short circuit, short-circuit to the single-phase and three-phase short-circuit, two-phase short-circuit grounding, two phase short circuit)

本算法描述了cdma反向信道的功率控制问题，包括基站以及移动台的功率控制以及相关的文章(description of the algorithm cdma reverse channel power control, , including base stations and mobile stations of the power control and the relevant article)

实现高维数据向低维数据的转变，降低维数希望群主采纳！(To realize the change of high dimensional data to low dimensional data, reduce the dimension of hope group of main adopted!)