fga

说明：  功率谱估计,music,esprit法.(PSD)

说明：  matlab棒材计数的论文，对于工业棒材计数有很好的描述(matlab bar count of paper, counting for the industry have a good description of bar)

matpower4.0的matlab程序，及说明文件。每个程序都有详细的解释说明(matpower4.0 matlab procedures, and documentation. Each program has a detailed explanation)

这个matlab程序实现了目标对象的图像分割与提取技术，附件里的程序以车牌的检测与识别为例，效果非常好。(The matlab program to achieve the target image segmentation and extraction technology, the annex of the procedures for license plate detection and recognition, for example, the effect is very good.)

扩展卡尔满滤波算饭与无味滤波算法的比较 结果是无味滤波略微胜出(EKFvsUKF)

simulink实现SVPWM调制,建立三相锁相环的设计和单相锁相环设计，保留必要的PI控制器等模块。(simulink realize SVPWM modulation, phase-locked loop is designed to establish a three-phase and single-phase locked loop design to retain the necessary PI controller modules.)

包含非线性卫星转发器的FDM系统的仿真 仿真一个从卫星到区域数据中心的下行链路（由一组6个载波构成），评估热噪声，交调（IM）失真、由滤波器造成的码间干扰（ISI）以及邻频干扰对下行链路性能的影响。 (Contains the non-linear satellite transponder FDM system simulation simulation of a regional data centers from the satellite to the downlink (from a group of six carrier composition) to assess the thermal noise, intermodulation (IM) distortion, caused by the filter inter-symbol interference (ISI) and adjacent channel interference on the downlink performance.)

Its show three pwm modulation based matlab simulator, with three level generation.

MATLAB智能算法30个案例分析的源代码，都是当下比较常用的代码 啊啊啊啊啊(MATLAB intelligent algorithm 30 case analysis of the source code, are more commonly used code moment ah ah ah ah ah)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)