PSO-optimize-RBF

无参数功率谱估计，基于matlab编程语言(Non-parametric power spectrum estimation, based on the matlab programming language)

本文件夹的程序是基于WaveLab802平台作的。 包括以下方法： VisuShrink方法、SUREShrink方法、BayesShrink方法、AdaptBayesShrink方法、 LAWMLShrink方法。(The program in this folder the is based WaveLab802 platform. Including the following methods: The method VisuShrink, SUREShrink methods, BayesShrink methods, AdaptBayesShrink method LAWMLShrink method.)

说明：   matlab函数，可实现golay编码和译码，包括（23，11）和（24，12，8） (matlab function, can be realized golay encoding and decoding, including the (23,11) and (24,12,8))

this is matlab program for showing the result of quasi ostbc

非线性科学及混沌方向，关于Henon映射的一个混沌控制程序，采取自适应控制策略(Henon map of a chaotic control program)

Tracking by using Kalman filter

数字调制就是把数字基带信号的频谱搬移到高频处，形成适合在信道中传输的带通信号。基本的数字调制方式有振幅键控（ASK）、频移键控（FSK）、绝对相移键控（PSK）、相对（差分）相移键控（DPSK）。在接收端可以采用想干解调或非相干解调还原数字基带信号。 (Digital modulation is the spectrum shifting to high frequency digital baseband signals, suitable for the formation of bandpass signal transmission in the channel. Digital modulation basic amplitude keying (ASK), frequency shift keying (FSK), the absolute phase shift keying (PSK), relative (differential) phase shift keying (DPSK). At the receiving end can be used to dry the demodulation or non coherent demodulating the digital baseband signal. )

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.)

一维信号频域特征提取，可用于轴承故障诊断和趋势预测(Wherein the one-dimensional frequency domain signal extraction, can be used to predict bearing Fault Diagnosis and)

digital watermarking using matlab.