mD_Sim_NoSubPixel_sfun

This technique doesn t involve sorting of probabilities as in Shannon-Fano coding. The following formula is used to calculate F (x) which in turn generates the code F (x) = F(x) + p(x) / 2, where F(x) is cummulative sum of probabilities p(x). It can be further understood with the following C code

最大相关熵准则自适应滤波，凸组合，两个滤波器(mcc filtering, convex combination, two filters)

说明：  模式识别-神经网络bp算法用于模式分类，采用了matlab自带的接口函数(pattern recognition-bp neural network algorithm for pattern classification, using the Matlab's own interface function)

单向晶闸管整流电路仿真模型，可参见电力电子教材(Unidirectional thyristor rectifier circuit simulation model can be found in power electronics textbooks)

亚像素边缘检测，对图像的边缘检测达到亚像素级别(Sub-pixel edge detection, image edge detection to sub-pixel level)

说明：  神经网络进行分类的源代码，可以下载了自己琢磨看， 可以运行(Neural network classification of the source code, you can download their own thinking, you can run)

基于形态学的字符检测算法,有图有真相，检测效果达到百分之百

利用MUSIC方法估计循环平稳，窄带信号 (PSA_MUSIC_BPSK_SFB)

目标跟踪：对目标的运动建立较为简单的线性模型，并用最小二乘估计对其参量进行估计，从而推出目标轨迹。(Target-Tracking：the simulation of tracking target by linear least squares estimates on the Matlab platform.)

应用背景噪声不确定能量检测器关键技术认知无线电网络中能量检测器的频谱感知