bpskmatlab

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.)

用matlab实现信号的加窗傅里叶变换，并绘出结果。(Using matlab to achieve signal windowed Fourier transform, and mapped the results.)

对二进制的高斯信道的误码率进行了Monte Carlo仿真，对初学者很有启发。(Pairs of binary Gaussian channel bit error rate of the Monte Carlo simulation, is very instructive for beginners.)

连续信号的采样与重构，主要说明信号采样与重构程序(continuous signal sampling and Reconstruction, the main note signal sampling procedures and Reconstruction)

DESIGN OF HYBRIDpower systems and PS FOR ISLANDS having ice cubic for islands can be used as a hybrid solar and wind

Project about system for detection of wireless signals.

matlab code of ButterworthHFourier

Analyze multiple user interference based Standard Gaussian Approximation (SGA) model and packets collision (PC) model in IRUWB wireless communication system.

the source code is used for extraction. The name is DOST. I got a paper

this file for gene finding using matlab very good for beginners