<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[plotup的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/plotup</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; plotup]]></copyright><item><title><![CDATA[定点位数问题]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/135427130</link><guid>https://blog.youkuaiyun.com/plotup/article/details/135427130</guid><author>plotup</author><pubDate>Sat, 06 Jan 2024 16:07:41 +0800</pubDate><description><![CDATA[m位有符号数用二进制补码表示，范围为。，故两个有符号数相乘，最大为。]]></description><category></category></item><item><title><![CDATA[FPGA调试问题]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/133884723</link><guid>https://blog.youkuaiyun.com/plotup/article/details/133884723</guid><author>plotup</author><pubDate>Tue, 17 Oct 2023 15:14:54 +0800</pubDate><description><![CDATA[vivado仿真问题。]]></description><category></category></item><item><title><![CDATA[linux服务器上离线搭建深度学习神经网络环境]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/131750702</link><guid>https://blog.youkuaiyun.com/plotup/article/details/131750702</guid><author>plotup</author><pubDate>Sun, 16 Jul 2023 15:15:54 +0800</pubDate><description><![CDATA[网址: [python安装]: https://repo.anaconda.com/pkgs/main/linux-64/网址：[pip安装]: https://repo.anaconda.com/pkgs/main/linux-64/网址：[pip安装]: https://repo.anaconda.com/pkgs/main/linux-64/网址：[第三方包安装]: http://mirrors.aliyun.com/pypi/simple/]]></description><category></category></item><item><title><![CDATA[最小二乘估计理论]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/131255071</link><guid>https://blog.youkuaiyun.com/plotup/article/details/131255071</guid><author>plotup</author><pubDate>Fri, 16 Jun 2023 23:38:09 +0800</pubDate><description><![CDATA[的奇异值和特征向量有关，故求得数据矩阵的奇异值和特征向量即可求得最有权重。不需输入输出为随机过程，求最优权向量使得输出估计结果的样本均方误差最小。加入最小范数条件使得有唯一解。LS最优权重仅与数据矩阵。]]></description><category></category></item><item><title><![CDATA[特征值分解与奇异值分解]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/131254273</link><guid>https://blog.youkuaiyun.com/plotup/article/details/131254273</guid><author>plotup</author><pubDate>Fri, 16 Jun 2023 22:08:07 +0800</pubDate><description><![CDATA[​AQΛQHQΛ​u1​​​u2​​​⋯​uM​​​diagλ1​λ2​⋯λM​​​​​AL×M​YL×L​ΣK×K​0L−K×K​​0K×M−K​0L−K×M−K​​XM×MH​⎩⎨⎧​XYΣ​x1​​​x2​​​⋯​xM​​​y1​​​y2​​​⋯​yM。]]></description><category></category></item><item><title><![CDATA[维纳滤波的线性预测]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/131246609</link><guid>https://blog.youkuaiyun.com/plotup/article/details/131246609</guid><author>plotup</author><pubDate>Fri, 16 Jun 2023 15:05:26 +0800</pubDate><description><![CDATA[d.计算AR功率谱估计结果。]]></description><category></category></item><item><title><![CDATA[基础维纳滤波]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/131244186</link><guid>https://blog.youkuaiyun.com/plotup/article/details/131244186</guid><author>plotup</author><pubDate>Fri, 16 Jun 2023 11:55:52 +0800</pubDate><description><![CDATA[输入输出为平稳随机过程，求最优权向量使得输出估计结果的均方误差最小。]]></description><category></category></item><item><title><![CDATA[时钟抖动问题的分析]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/130541992</link><guid>https://blog.youkuaiyun.com/plotup/article/details/130541992</guid><author>plotup</author><pubDate>Sun, 07 May 2023 13:43:08 +0800</pubDate><description><![CDATA[http://www.360doc.com/content/12/0121/07/9204498_1069230480.shtml]]></description><category></category></item><item><title><![CDATA[一个生僻的vivado仿真错误]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/130536369</link><guid>https://blog.youkuaiyun.com/plotup/article/details/130536369</guid><author>plotup</author><pubDate>Sat, 06 May 2023 22:01:21 +0800</pubDate><description><![CDATA[自己在模块里写了一个Delay模块，在调用ip核时，其内部也存在一个delay模块，名字重叠，导致仿真出错。该问题除了功能仿真无法使用似乎没有其他问题。前仿真可以跑，甚至可以生成bit流。]]></description><category></category></item><item><title><![CDATA[信号频谱分析举例]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/130182033</link><guid>https://blog.youkuaiyun.com/plotup/article/details/130182033</guid><author>plotup</author><pubDate>Sun, 16 Apr 2023 14:10:07 +0800</pubDate><description><![CDATA[无滤波器的iq解调结构.png中频输入信号频谱.pngi路信号频谱.pngq路信号频谱.png复信号频谱以及幅度谱.png。]]></description><category></category></item><item><title><![CDATA[频谱性质及信号频谱分析思路]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/130161883</link><guid>https://blog.youkuaiyun.com/plotup/article/details/130161883</guid><author>plotup</author><pubDate>Fri, 14 Apr 2023 20:53:04 +0800</pubDate><description><![CDATA[分析一个实信号的频谱变化可以通过分别分析实信号频谱的实部和虚部频谱变换，然后在通过对应频点取模的方式获取其变换后的幅度和相位图。综合1，2性质可以得出实信号的频谱具有共轭对称性。x(t)为实信号，其傅里叶变换。变化后的实部频谱(偶对称)变化后的虚部频谱(奇对称)实信号变化后的幅度谱。实信号变化后的相位谱。]]></description><category></category></item><item><title><![CDATA[git_operate]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/129299033</link><guid>https://blog.youkuaiyun.com/plotup/article/details/129299033</guid><author>plotup</author><pubDate>Thu, 02 Mar 2023 13:31:51 +0800</pubDate><description><![CDATA[git]]></description><category></category></item><item><title><![CDATA[ZYNQ开发中遇到的各种问题]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/129216956</link><guid>https://blog.youkuaiyun.com/plotup/article/details/129216956</guid><author>plotup</author><pubDate>Sat, 25 Feb 2023 16:31:05 +0800</pubDate><description><![CDATA[zynq开发]]></description><category></category></item><item><title><![CDATA[远程桌面控制bug]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/127445044</link><guid>https://blog.youkuaiyun.com/plotup/article/details/127445044</guid><author>plotup</author><pubDate>Fri, 21 Oct 2022 13:52:51 +0800</pubDate><description><![CDATA[一些bug]]></description><category></category></item><item><title><![CDATA[卡尔曼滤波笔记]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/127200073</link><guid>https://blog.youkuaiyun.com/plotup/article/details/127200073</guid><author>plotup</author><pubDate>Fri, 07 Oct 2022 22:03:11 +0800</pubDate><description><![CDATA[kalman]]></description><category></category></item><item><title><![CDATA[具有射频器件的电路系统调试注意事项]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/126160642</link><guid>https://blog.youkuaiyun.com/plotup/article/details/126160642</guid><author>plotup</author><pubDate>Thu, 04 Aug 2022 15:46:56 +0800</pubDate><description><![CDATA[理论分析：所有射频器件均需要考虑阻抗匹配的问题，因为射频信号可以看作电磁波，我们知道由于光在两种不同介质传播时会有反射现象，当器件没有阻抗匹配时起本质就是在两个不同介质进行电磁波的传播，因此信号发生了反射，这种发射是有能量传播的，尤其是当输出端阻抗无穷大时信号全反射，信号所有功率会返回，很容易把射频器件烧毁 。
正确的射频器件操作方法：
1.射频器件的输入口输出口都接好
2.接入输入射频信号
3.开启射频器件的电源
本次实验过程中烧坏了一块200多的lna，虽然是教研室报销买的，金钱上没什么损失，但是耽误了]]></description><category></category></item><item><title><![CDATA[概率论与随机信号分析]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/123877067</link><guid>https://blog.youkuaiyun.com/plotup/article/details/123877067</guid><author>plotup</author><pubDate>Thu, 31 Mar 2022 16:40:39 +0800</pubDate><description><![CDATA[·无偏：E(xi)=μ
			·渐进无偏：大样本性质，即n→∞时，E(θi)=μ 举例：θi=n/(n+1)xi
			·一致性/相合性：统计量依概率收敛于真值：举例θi=1/n*Σxi=xbar
			 注：均方收敛（随机变量的方差趋于0）可以推出依概率收敛。放松一步，Lp收敛（p&gt;1）即可（比如1.1次方收敛）推出。
			·一致一定渐进无偏，反之不成立
			·渐进无偏但不一致例子：θi=n/(n+1)*xi
			
		...]]></description><category></category></item><item><title><![CDATA[基于FFT的ofdm系统框图]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/123853633</link><guid>https://blog.youkuaiyun.com/plotup/article/details/123853633</guid><author>plotup</author><pubDate>Wed, 30 Mar 2022 18:38:42 +0800</pubDate><description><![CDATA[注释：FFT导致其做周期积分是以循环卷积的形式进行，因此是因为使用了FFT导致为循环卷积从而使用循环编码消除ICI
]]></description><category></category></item><item><title><![CDATA[OFDM中的ISI与ICI]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/123853589</link><guid>https://blog.youkuaiyun.com/plotup/article/details/123853589</guid><author>plotup</author><pubDate>Wed, 30 Mar 2022 18:35:11 +0800</pubDate><description><![CDATA[ISI（符号间干扰）：OFDM中由于多径效应导致的ISI可以通过加入保护间隔解决

ICI（信道间干扰）：OFDM中由于ISI导致的ICI可以通过将保护间隔中加入循环前缀CP解决
]]></description><category></category></item><item><title><![CDATA[码间串扰问题]]></title><link>https://blog.youkuaiyun.com/plotup/article/details/123850628</link><guid>https://blog.youkuaiyun.com/plotup/article/details/123850628</guid><author>plotup</author><pubDate>Wed, 30 Mar 2022 16:52:08 +0800</pubDate><description><![CDATA[分为两个原因: 1.自身系统设计的缺陷，即内在原因；2. 传播环境导致，即在外原因。

内在原因: 不满足奈奎斯特准则
	外在原因：频率选择性衰减（频域）多径效应（时域）
]]></description><category></category></item></channel></rss>