From 8cecd07b591bd1fe14ff658a95803d81f8d22c8c Mon Sep 17 00:00:00 2001
From: AxiBright <zibright@qq.com>
Date: Wed, 21 Jan 2026 11:09:45 +0800
Subject: [PATCH] =?UTF-8?q?=E5=8A=A0=E4=BA=86=E7=82=B9=E4=B8=9C=E8=A5=BF?=
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 .../Debian从零开始使用pnpm部署项目.md         |   0
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 .../docker的容器和镜像的删除操作.md           |   0
 .../Article/{Technology => }/navidrome.md     |   0
 ...��的Ubuntu中使用Docker Compose部署MTPhotos.md |   0
 .../{Technology => }/安装AD2025学习版.md      |   0
 .../通过SSH密钥连接LINUX服务器.md             |   0
 ...�用passnet内网穿透服务优雅快速的分享照片访问.md |   0
 Collection/KMP算法.md                         | 147 ++++++++++++++++++
 Collection/PID控制算法.md                     |  93 +++++++++++
 .../assets/vivado_ip}/IPCore01.png            | Bin
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 .../Article/Studyroad => School}/vivado_ip.md |  44 +++---
 .../大三下嵌入式软件测试论文文献引用清单.md   |   1 +
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 rename BlogWebsite/Article/{Technology => }/Debian从零开始使用pnpm部署项目.md (100%)
 rename BlogWebsite/Article/{Technology => }/MarkdownTest.md (100%)
 rename BlogWebsite/Article/{Technology => }/Typecho插件Aplayer使用教程.md (100%)
 rename BlogWebsite/Article/{Technology => }/docker的容器和镜像的删除操作.md (100%)
 rename BlogWebsite/Article/{Technology => }/navidrome.md (100%)
 rename BlogWebsite/Article/{Technology => }/在ARM架构的Ubuntu中使用Docker Compose部署MTPhotos.md (100%)
 rename BlogWebsite/Article/{Technology => }/安装AD2025学习版.md (100%)
 rename BlogWebsite/Article/{Technology => }/通过SSH密钥连接LINUX服务器.md (100%)
 rename BlogWebsite/Article/{Technology => }/飞牛搭配mtphotos使用passnet内网穿透服务优雅快速的分享照片访问.md (100%)
 create mode 100644 Collection/KMP算法.md
 create mode 100644 Collection/PID控制算法.md
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore01.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore02.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore03.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore04.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore05.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore06.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore07.png (100%)
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 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore10.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore11.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore12.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore13.png (100%)
 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore14.png (100%)
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 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore17.png (100%)
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 rename {BlogWebsite/Article/Studyroad/vivado_ip_img => School/assets/vivado_ip}/IPCore19.png (100%)
 rename {BlogWebsite/Article/Studyroad => School}/vivado_ip.md (82%)

diff --git a/BlogWebsite/Article/Technology/Debian从零开始使用pnpm部署项目.md b/BlogWebsite/Article/Debian从零开始使用pnpm部署项目.md
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rename from BlogWebsite/Article/Technology/Debian从零开始使用pnpm部署项目.md
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diff --git a/BlogWebsite/Article/Technology/MarkdownTest.md b/BlogWebsite/Article/MarkdownTest.md
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diff --git a/BlogWebsite/Article/Technology/Typecho插件Aplayer使用教程.md b/BlogWebsite/Article/Typecho插件Aplayer使用教程.md
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diff --git a/BlogWebsite/Article/Technology/在ARM架构的Ubuntu中使用Docker Compose部署MTPhotos.md b/BlogWebsite/Article/在ARM架构的Ubuntu中使用Docker Compose部署MTPhotos.md
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diff --git a/BlogWebsite/Article/Technology/安装AD2025学习版.md b/BlogWebsite/Article/安装AD2025学习版.md
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diff --git a/BlogWebsite/Article/Technology/通过SSH密钥连接LINUX服务器.md b/BlogWebsite/Article/通过SSH密钥连接LINUX服务器.md
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rename from BlogWebsite/Article/Technology/通过SSH密钥连接LINUX服务器.md
rename to BlogWebsite/Article/通过SSH密钥连接LINUX服务器.md
diff --git a/BlogWebsite/Article/Technology/飞牛搭配mtphotos使用passnet内网穿透服务优雅快速的分享照片访问.md b/BlogWebsite/Article/飞牛搭配mtphotos使用passnet内网穿透服务优雅快速的分享照片访问.md
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rename to BlogWebsite/Article/飞牛搭配mtphotos使用passnet内网穿透服务优雅快速的分享照片访问.md
diff --git a/Collection/KMP算法.md b/Collection/KMP算法.md
new file mode 100644
index 0000000..4532eff
--- /dev/null
+++ b/Collection/KMP算法.md
@@ -0,0 +1,147 @@
+---
+tags: 
+- KMP
+- AI生成
+- C语言
+---
+KMP（Knuth-Morris-Pratt）算法是一种用于字符串匹配的算法，它能在O(n+m)的时间复杂度内完成字符串的匹配，其中n是主串的长度，m是模式串的长度。这个算法是由Donald Knuth、Vaughan Pratt和Vaughan Morris在1970年共同发明的。  
+
+KMP算法的主要思想是利用已经匹配过的信息，避免再次从头开始匹配。具体来说，KMP算法在匹配失败后，能够知道模式串中有一部分字符是与主串匹配的，因此不需要重新匹配这些字符。  
+
+KMP算法的关键在于构造一个“部分匹配表”（也称为“失败函数”或“跳转表”），这个表记录了模式串中每个位置的最长公共前后缀的长度。在匹配过程中，如果发生了匹配失败，就可以根据这个表来确定下一步应该比较的位置，从而避免了不必要的比较。  
+
+KMP算法的具体实现过程如下：  
+
+1. 构造部分匹配表。对于模式串中的每个位置i（1≤i≤m），计算以该位置结尾的最长公共前后缀的长度，并将结果存储在部分匹配表的第i个位置。这个计算过程可以通过动态规划来实现。
+
+2. 进行字符串匹配。从主串的第一个字符和模式串的第一个字符开始比较，如果相等，则继续比较下一个字符；如果不相等，则根据部分匹配表来确定下一步应该比较的位置。重复这个过程，直到匹配成功或者遍历完整个主串。
+
+KMP算法的时间复杂度为O(n+m)，其中n是主串的长度，m是模式串的长度。这个算法在实际应用中非常广泛，特别是在需要频繁进行字符串匹配的场景中，如搜索引擎、文本编辑器等。  
+
+下面是一个用C语言实现的KMP（Knuth-Morris-Pratt）字符串匹配算法的示例代码。这个示例中，我们实现了KMP算法来在一个主字符串（text）中查找一个模式字符串（pattern）的所有出现位置。
+
+```c
+
+#include <stdio.h>
+
+#include <string.h>
+
+// 函数原型声明
+
+void computeLPSArray(char *pat, int M, int *lps);
+
+void KMPSearch(char *pat, char *txt);
+
+int main() {
+
+char text[] = "ABABDABACDABABCABAB";
+
+char pattern[] = "ABABCABAB";
+
+printf("Text: %s\n", text);
+
+printf("Pattern: %s\n", pattern);
+
+KMPSearch(pattern, text);
+
+return 0;
+
+}
+
+// 计算LPS（最长公共前后缀）数组
+
+void computeLPSArray(char *pat, int M, int *lps) {
+
+int len = 0; // 最长公共前后缀的长度
+
+lps[0] = 0; // lps[0] 总是0
+
+int i = 1;
+
+while (i < M) {
+
+if (pat[i] == pat[len]) {
+
+len++;
+
+lps[i] = len;
+
+i++;
+
+} else {
+
+if (len != 0) {
+
+len = lps[len - 1];
+
+} else {
+
+lps[i] = 0;
+
+i++;
+
+}
+
+}
+
+}
+
+}
+
+// KMP字符串匹配算法
+
+void KMPSearch(char *pat, char *txt) {
+
+int M = strlen(pat);
+
+int N = strlen(txt);
+
+int lps[M];
+
+int j = 0; // 模式串的索引
+
+// 计算LPS数组
+
+computeLPSArray(pat, M, lps);
+
+int i = 0; // 文本串的索引
+
+while (i < N) {
+
+if (pat[j] == txt[i]) {
+
+j++;
+
+i++;
+
+}
+
+if (j == M) {
+
+printf("Pattern found at index %d \n", i - j);
+
+j = lps[j - 1];
+
+} else if (i < N && pat[j] != txt[i]) {
+
+if (j != 0)
+
+j = lps[j - 1];
+
+else
+
+i = i + 1;
+
+}
+
+}
+
+}
+
+```
+
+在这个示例中，`computeLPSArray`函数计算了模式串的最长公共前后缀数组（LPS数组），而`KMPSearch`函数使用这个数组来在文本串中查找模式串。当找到匹配时，它会打印出模式串在主字符串中的起始索引。  
+
+你可以编译并运行这段代码来测试KMP算法。请确保你的编译器支持C语言标准，并且已经正确设置了编译环境。  
+
+内容由AI大模型生成，仅供参考
diff --git a/Collection/PID控制算法.md b/Collection/PID控制算法.md
new file mode 100644
index 0000000..13f9b5f
--- /dev/null
+++ b/Collection/PID控制算法.md
@@ -0,0 +1,93 @@
+---
+tags:
+- PID
+- AI生成
+- C语言
+---
+以下是一个简单的C语言实现PID控制算法的程序示例：
+
+```c
+
+#include <stdio.h>
+
+// PID控制器结构体
+
+typedef struct {
+
+double kp; // 比例系数
+
+double ki; // 积分系数
+
+double kd; // 微分系数
+
+double previous_error; // 上一次的误差
+
+double integral; // 误差积分
+
+} PIDController;
+
+// PID计算函数
+
+double PID_Compute(PIDController* pid, double setpoint, double actual_value, double dt) {
+
+double error = setpoint - actual_value;
+
+pid->integral += error * dt;
+
+double derivative = (error - pid->previous_error) / dt;
+
+double output = pid->kp * error + pid->ki * pid->integral + pid->kd * derivative;
+
+pid->previous_error = error;
+
+return output;
+
+}
+
+int main() {
+
+// 初始化PID控制器
+
+PIDController pid;
+
+pid.kp = 1.0;
+
+pid.ki = 0.1;
+
+pid.kd = 0.01;
+
+pid.previous_error = 0.0;
+
+pid.integral = 0.0;
+
+// 模拟控制过程
+
+double setpoint = 100.0; // 设定目标值
+
+double actual_value = 0.0; // 实际值
+
+double dt = 0.1; // 时间间隔
+
+double output; // PID输出
+
+for (int i = 0; i < 100; i++) {
+
+output = PID_Compute(&pid, setpoint, actual_value, dt);
+
+actual_value += output; // 假设输出直接控制实际值
+
+printf("Time: %d, Actual Value: %f, Error: %f, Output: %f\n", i, actual_value, setpoint - actual_value, output);
+
+}
+
+return 0;
+
+}
+
+```
+
+这个示例程序定义了一个`PIDController`结构体，包含了PID控制器的参数（比例系数`kp`、积分系数`ki`、微分系数`kd`）以及状态变量（上一次的误差`previous_error`和误差积分`integral`）。`PID_Compute`函数根据设定目标值、实际值和时间间隔计算PID输出。在`main`函数中，我们初始化了一个PID控制器，并模拟了一个控制过程，其中PID输出直接控制实际值。
+
+请注意，这只是一个简单的示例程序，实际应用中可能需要根据具体需求进行调整和优化。此外，PID控制算法还需要考虑一些边界条件和特殊情况，例如积分饱和、微分先行等。因此，在实际应用中，建议根据具体需求进行深入研究和实践。
+
+内容由AI大模型生成，仅供参考
diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore01.png b/School/assets/vivado_ip/IPCore01.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore11.png b/School/assets/vivado_ip/IPCore11.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore12.png b/School/assets/vivado_ip/IPCore12.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore13.png b/School/assets/vivado_ip/IPCore13.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore14.png b/School/assets/vivado_ip/IPCore14.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore15.png b/School/assets/vivado_ip/IPCore15.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore18.png b/School/assets/vivado_ip/IPCore18.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip_img/IPCore19.png b/School/assets/vivado_ip/IPCore19.png
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diff --git a/BlogWebsite/Article/Studyroad/vivado_ip.md b/School/vivado_ip.md
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rename from BlogWebsite/Article/Studyroad/vivado_ip.md
rename to School/vivado_ip.md
index 9d3c60b..aac2c70 100644
--- a/BlogWebsite/Article/Studyroad/vivado_ip.md
+++ b/School/vivado_ip.md
@@ -1,44 +1,50 @@
+---
+tags:
+- vivado
+- school
+---
+
 # Vivado使用乘法器、除法器IP核实现乘除取余仿真
 ### 环境
 **Vivado 20.2**   
 ## 添加并配置IP核
 1. 打开vivado，找到对应IP核，如下图   
-![](IPCore01.png)  
+![](./assets/vivado_ip/IPCore01.png)  
 2. 先双击除法器IP核进入配置页面，如下图   
-![](IPCore02.png)  
-![](IPCore03.png)  
+![](./assets/vivado_ip/IPCore02.png)  
+![](./assets/vivado_ip/IPCore03.png)  
 除法器配置默认即可，点击OK；后弹出界面，点击Generate   
 如下图即配置完成   
-![](IPCore04.png)  
+![](./assets/vivado_ip/IPCore04.png)  
 3. 配置乘法器IP核   
-![](IPCore05.png)  
+![](./assets/vivado_ip/IPCore05.png)  
 上图使用十六位有符号数与十六位无符号数进行运算    
-![](IPCore06.png)  
+![](./assets/vivado_ip/IPCore06.png)  
 上图输出32位，间隔一个周期得到结果（电脑性能不佳可适当增加）   
 4. 如下图即配置完成   
-![](IPCore07.png)  
+![](./assets/vivado_ip/IPCore07.png)  
 ## 添加并编写仿真代码文件
 1. 选择一个文件夹，创建例如ipcore_test.v文件   
 2. 添加文件到vivado   
-![](IPCore08.png)  
-![](IPCore09.png)  
+![](./assets/vivado_ip/IPCore08.png)  
+![](./assets/vivado_ip/IPCore09.png)  
 找到自己创建的.v文件路径并添加   
 3. 完成如下图   
-![](IPCore10.png)  
+![](./assets/vivado_ip/IPCore10.png)  
 4. 复制示例代码   
-![](IPCore11.png)  
+![](./assets/vivado_ip/IPCore11.png)  
 双击打开.veo 示例代码文件   
-![](IPCore12.png)  
+![](./assets/vivado_ip/IPCore12.png)  
 复制上图红框中的代码到自己的仿真文件,如下图（我这是外部编辑器，vivado自带编辑器同理）   
-![](IPCore13.png)  
+![](./assets/vivado_ip/IPCore13.png)  
 上图的module与endmodule需要自己添加     
 如下图，可以看到，除法器IP核在你自己的代码文件之下，表示被正确调用   
-![](IPCore14.png)  
+![](./assets/vivado_ip/IPCore14.png)  
 乘法器同理，打开.veo文件复制代码   
-![](IPCore15.png)  
-![](IPCore16.png)  
+![](./assets/vivado_ip/IPCore15.png)  
+![](./assets/vivado_ip/IPCore16.png)  
 示例代码复制完成后如下图，这里我更改了实例名称（u_ 开头，不改没影响）   
-![](IPCore17.png)  
+![](./assets/vivado_ip/IPCore17.png)  
 5. 最后自己补全仿真代码，我这里这样写   
 ```verilog
 `timescale 1ns / 1ps
@@ -105,8 +111,8 @@ endmodule
 
 6. 结果分析   
 选中除B之外的所有变量，调整为有符号的十进制，B调整为无符号的十进制数   
-![](IPCore19.png)  
+![](./assets/vivado_ip/IPCore19.png)  
 下图可以看到，乘法器得到数据（一开始），在第一个周期得到结果，除法器得到数据，在第二十个周期得到结果   
-![](IPCore18.png)  
+![](./assets/vivado_ip/IPCore18.png)  
 
 
diff --git a/School/大三下嵌入式软件测试论文文献引用清单.md b/School/大三下嵌入式软件测试论文文献引用清单.md
index d3e4b8a..acff4db 100644
--- a/School/大三下嵌入式软件测试论文文献引用清单.md
+++ b/School/大三下嵌入式软件测试论文文献引用清单.md
@@ -1,6 +1,7 @@
 ---
 tags: 
 - school
+- 文献
 ---
 
 # 十五篇