PNN-classification-prediction

kalman滤波方面的书籍，是一本经典的书籍。详细讲述了各种方法及组合滤波方法(kalman filter books, is a classic book. Detail the various methods and composition of the filter)

equal gain combining-spatial diversity

通过Matlab编程，以建立BP神经网络对人脸进行识别为例子，说明对BP神经网络的训练和模拟的过程。(Through Matlab programming to create BP neural network to recognize human faces as examples of the BP neural network training and simulation process.)

內有Directional以及Derivative Constraints的形式，讓LCMV和LPMV 能夠更精準估測出其JAMMER之位置(There are Directional and Derivative Constraints in the form, so that LCMV and LPMV to more accurately estimate the location out of their JAMMER)

说明：  1、指标信号，仅当参考；理解理念，才更重要！指标中大阳支撑的理念，请大家适当参考；其余提示信号，均可只当戏玩，不可生搬硬套！ 2、【烧香拜佛】指标极其简单，不可单独使用，请结合盘面热点、板块龙头等情况，综合考虑目标的机会。 3、该指标对于进入主升浪、台阶式上涨的目标，最为有效！ 下面给出大智慧L2、飞狐、通达信三种常用软件的版本源码，请需要的朋友适当参考。　(1, indicator signal, only when the reference understand the concept, it is more important! Indicators support the idea of the sun, please refer to the appropriate the remaining prompts signal, can only play when the play, not rote! 2】 【pray to Buddha indicator is extremely simple, is not alone, please combine disk hot plate leading, etc., considering the target opportunity. 3, the indicator for access to the main upward move, stepped up the goal, the most effective! Here are great wisdom L2, flying fox, accessible version of the letter are three commonly used software source code, make a friend in need the appropriate reference.)

卡尔曼滤波的matlab实现。卡尔曼滤波的matlab实现。(Kalman filter matlab implementation.)

ofdm中的编码降低par方法程序，采用bcm码(ofdm of coding methods and procedures to reduce par, using code bcm)

基于802.11的matlab仿真，IEEE的通信协议(Matlab simulation of 802.11-based communication protocol of the IEEE)

OFDM 技术具有频谱利用率高、成本低等特点，随着人们对通信数据化、宽带化、个人化和移动化的需求，OFDM 技术在固定无线接入领域和移动接入领域将越来越得到广泛的应用(OFDM technology has high spectrum efficiency, low cost, and communication data, broadband, personal and moving the OFDM technology will increasingly be in the field of fixed wireless access and mobile access a wide range of applications)

SOLVE PROGRAM RBF Interpolation BY ICA