fm_gui_v2

运用matlab进行ls与dft对比，从而得到二者不同(Ls using matlab for comparison with dft, resulting in two different)

Formats tracker data as KML output.

利用MATLAB中的浮点编码编写遗传算法，较为新颖简便。(Using floating-point MATLAB code written in the genetic algorithm, more innovative easy.)

在此代码所使用的算法是从以下引用： S Gillijns等人“什么是集合卡尔曼滤波和它工作得如何？“ 2006年美国电力系统及其控制会议，明尼阿波利斯，美国明尼苏达州六月14-16，2006，页4448-4453。(The algorithm used in this code is referenced from the following: S Gillijns et al "What Is the Ensemble Kalman Filter and How Well Does it Work?" Proceedings of the 2006 American Control Conference, Minneapolis, Minnesota, USA, June 14-16, 2006, pp 4448-4453.)

作为一个有吸引力的技术， 减轻多径干扰的正交频 分复用（OFDM）已经被广泛应用 在各种广播系统，诸如数字 视频广播（DVB）系统。尽管它的竞争力 属性，OFDM信号的特点是非常高的 峰值对平均功率比（PAPR）的水平。( As an attractive technique in mitigating the multipath interference, Orthogonal Frequency Division Multiplexing (OFDM) has been widely applied in various broadcasting systems such as, the Digital Video Broadcasting (DVB) systems. Despite its competitive attributes, OFDM signals are characterized by very high Peak-to-Average Power Ratio (PAPR) levels.)

基于BP神经网络的预测及故障诊断，并且与RBF神经网络算法进行对比(Prediction and fault diagnosis based on BP neural network and RBF neural network algorithm and compare)

These files gives information of unified power flow control

to find the peaks of a histogram

matlab使用过程中使用较多的一些函数合集(matlab process of using some of the functions use more collection)

增量SVM的实例，用于对手势的在线增量学习，有很详细的源码，并实现了SVM的多分类问题，对于模式识别和学习SVM有很大的帮助(Instance of the incremental SVM for gesture online incremental learning, there is a very detailed source, and to achieve a multi-SVM classification, pattern recognition and learning SVM great help)