signal_gen

Simple model of FSK decoder

K最邻近密度估计技术是一种分类方法，不是聚类方法。 不是最优方法，实践中比较流行。 通俗但不一定易懂的规则是： 1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。(K nearest neighbor density estimation is a classification method, not a clustering method. It is not the best method, but it is popular in practice. Popular but not necessarily understandable rule is: 1. calculate the distance between the data to be classified and the data in each other (Euclidean or Markov). 2. select the minimum distance from the previous K data, where the choice sorting method is used. 3. compare the previous K distances to find out which K data contains the most data of that class, that is, the class to which the data to be classified is located.)

非常有名的有关如何做研究的书籍，金出武雄著，书名《像外行一样思考像专家一样实践》。(An Ebook about how to do research,written by JinChuWuXiong.)

tutorial MATLAB part4

非线性卡尔曼滤波器利用MATLAB中的M文件进行设计编写(Nonlinear Discrete-Time Kalman filter)

数字FIR滤波器器设计，通带截止频率0.3pi，阻带截止频率0.2pi，通带衰减《=1db，阻带衰减》=40db(Digital FIR filter design, the passband cutoff frequency 0.3pi, stopband cutoff frequency 0.2pi, pass-band attenuation " = 1db, stop-band attenuation" = 40db)

Comaparacion de filtros en timepo real

通过自动阈值选择方法实现图像二值化。初始阈值T是图像均值；T把图像直方图分成R1和R2两个区域；计算R1和R2均值u1和u2，选择u1和u2均值作新的阈值；重复以上步骤直到T值基本不变。(Automatic Threshold Selection；)

HDB3 codification, a matlab program that make a hdb3 codification

图像处理中几种lms滤波的matlab代码(several auto_adaptive filter s algorithms of lms on image processing,using matlab)