<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[Wostry的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/WSCLE</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; WSCLE]]></copyright><item><title><![CDATA[数学基础公式]]></title><link>https://blog.youkuaiyun.com/WSCLE/article/details/127564934</link><guid>https://blog.youkuaiyun.com/WSCLE/article/details/127564934</guid><author>WSCLE</author><pubDate>Fri, 28 Oct 2022 09:14:52 +0800</pubDate><description><![CDATA[数学基础公式]]></description><category></category></item><item><title><![CDATA[【python调用本机摄像头/本地视频-预览-保存】cv2读取视频或摄像头，并保存帧图像或视频]]></title><link>https://blog.youkuaiyun.com/WSCLE/article/details/126354123</link><guid>https://blog.youkuaiyun.com/WSCLE/article/details/126354123</guid><author>WSCLE</author><pubDate>Mon, 15 Aug 2022 20:26:47 +0800</pubDate><description><![CDATA[获取摄像头视频，保存，并转为图像]]></description><category></category></item><item><title><![CDATA[卡尔曼滤波算法matlab实现]]></title><link>https://blog.youkuaiyun.com/WSCLE/article/details/119031605</link><guid>https://blog.youkuaiyun.com/WSCLE/article/details/119031605</guid><author>WSCLE</author><pubDate>Fri, 23 Jul 2021 13:38:45 +0800</pubDate><description><![CDATA[卡尔曼滤波方程



简单示例程序

%% 参数设置
N = 200;     % 设置数据长度为N
t = (1:N);   % 生成时间轴
a = 1;       % 状态转移方程
b = 0;       % 控制输入
c = 1;       % c: 观测方程
x = 5;       % 设置初值 初始的均值和方差
sigma2 = 10;
V = 50;      % 设置生成的信号的噪声标准差
Q = 1;       % 设置状态转移方差Q和观测方差R
R = 50;       

.]]></description><category></category></item><item><title><![CDATA[LMS自适应滤波算法的 matlab实现]]></title><link>https://blog.youkuaiyun.com/WSCLE/article/details/118940761</link><guid>https://blog.youkuaiyun.com/WSCLE/article/details/118940761</guid><author>WSCLE</author><pubDate>Tue, 20 Jul 2021 17:41:10 +0800</pubDate><description><![CDATA[子程序

function [w,e,yn] = my_LMS(xn,dn)
%% LMS实现程序
%   输入：
% xn   输入信号       
% dn   理想信号          
% L    迭代次数      
% k    滤波器的阶数   
%   输出：
% w    滤波器的系数矩阵    大小为 k×L  每一列代表一次迭代后的系数
% e    误差信号            大小为 L×1  每一行代表一次迭代后产生的误差
% yn   滤波器的输出信号    

%%.]]></description><category></category></item></channel></rss>