yousun

构造一组输入为白噪声加三个频率非常接近的正弦波，其信噪比为10dB，观测长度为256。试分别用普通AR谱估计和采用功率噪声抵消算法的AR谱估计估计这组信号的频率，并比较结果。(constructed a group of white noise input plus three very close to the frequency sine wave, the signal-to-noise ratio of 10dB. Observing length of 256. Were used to test the general AR spectral estimation using power and noise canceling algorithm for the estimation of AR spectrum estimation of this group of signal frequency, and the results of the comparison.)

各种算法集合，包括：优化，回归，图论，数据处理，吉布斯分布等等(A collection of algorithms including optimization, regression, graph, data processing, Gibbs and etc.)

这里讲述的是matlab的迭代问题，含有多个程序可提供参考(About matlab difference, containing more than one program can provide a reference)

用Matlab来进行信号分析。源码及说明都有。(Carried out using Matlab signal analysis. Both source and description.)

Matlab APF 基于Matlab的并联型有源滤波器的研究(Matlab APF)

This is source code concerning with chapter 4 of DIP book

Perform QPSK Modulation and transmit it through carrier signal

％％目标在监控区内运动轨迹为水平转弯型曲线时的定位( Target trajectory in the region to monitor for horizontal bend curve when positioning)

实现了用burg方法进行谱估计,输出有系数矩阵，方差，各阶预测误差等等(it realize the Spectral Estimation using the methed of burg.)

用matlab实现粒子滤波算法 x = 0 初始状态 R = input( 请输入过程噪声方差R的值: ) 测量噪声协方差 Q = input( 请输入观测噪声方差Q的值: ) 过程状态协方差 tf = 100 模拟长度 N = 100 粒子滤波器中的粒子个数 xhat = x P = 2 xhatPart = x ………………(Particle filtering algorithm using matlab)