<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>TroyZhou&apos;s Page</title><description>分享知识，结识志同道合的朋友</description><link>https://troyzhou.top/</link><language>zh-cn</language><item><title>TSE序列修改日志：梯度衔接问题排查</title><link>https://troyzhou.top/notes/mri/mri_logs/tse-sequence-modification-20260409/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_logs/tse-sequence-modification-20260409/</guid><description>修改TSE序列，添加Spoiler收尾梯度和激发脉冲层选梯度时遇到梯度幅值超限报错，以及波形衔接处出现明显瑕疵的排查过程。</description><pubDate>Thu, 09 Apr 2026 00:00:00 GMT</pubDate><category>MRI / 实验日志</category></item><item><title>欢迎来到 TroyZhou&apos;s Page</title><link>https://troyzhou.top/blog/welcome-to-my-site/</link><guid isPermaLink="true">https://troyzhou.top/blog/welcome-to-my-site/</guid><description>从 Obsidian 到 Astro，用两个月的时间搭起了这个个人站。记录搭建初衷、技术选型和未来计划。</description><pubDate>Wed, 08 Apr 2026 00:00:00 GMT</pubDate><category>随笔</category></item><item><title>Lecture 4</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-4/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-4/</guid><description>求阶跃/冲激响应：默认是零状态响应
</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 生物医学信号处理</category></item><item><title>Lecture 5</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-5/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-5/</guid><description>FIR系统的b系数就是h[n]
</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 生物医学信号处理</category></item><item><title>Lecture 5</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-5/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-5/</guid><description>Total Cost = Variable Cost + Fixed Cost
</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 微观经济学</category></item><item><title>Lecture 4</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-4/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-4/</guid><description>竞争-冒险：
</description><pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 数字电路</category></item><item><title>知识梳理1</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/mcs-51/%E7%9F%A5%E8%AF%86%E6%A2%B3%E7%90%861/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/mcs-51/%E7%9F%A5%E8%AF%86%E6%A2%B3%E7%90%861/</guid><description>1 寄存器vs锁存器
</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / MCS-51单片机</category></item><item><title>知识梳理2</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/mcs-51/%E7%9F%A5%E8%AF%86%E6%A2%B3%E7%90%862/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/mcs-51/%E7%9F%A5%E8%AF%86%E6%A2%B3%E7%90%862/</guid><description>1. 寻址空间：程序存储器。指令的操作数直接存储在程序存储器中，根据指令的不同，操作数可以为8位或者16位。
</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / MCS-51单片机</category></item><item><title>知识梳理3</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/mcs-51/%E7%9F%A5%E8%AF%86%E6%A2%B3%E7%90%863/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/mcs-51/%E7%9F%A5%E8%AF%86%E6%A2%B3%E7%90%863/</guid><description>概况：数据传送指令一共有29条，用到的助记符有8种，可以概括为5类：
</description><pubDate>Mon, 30 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / MCS-51单片机</category></item><item><title>01 FID &amp; SE</title><link>https://troyzhou.top/notes/mri/mri-seq/01-fid-se/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri-seq/01-fid-se/</guid><description>FID全称：Free Induction Decay 也就是自由感应衰减，是核磁共振成像中最基础的信号。
</description><pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI Seq</category></item><item><title>02 STEAM &amp; PRESS</title><link>https://troyzhou.top/notes/mri/mri-seq/02-steam-press/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri-seq/02-steam-press/</guid><description>磁共振波谱（MRS）利用“化学位移”现象，将特定体素内的信号按分子频率差异拆解，从而定量分析组织中的各种代谢产物。它不产生传统的解剖图像，而是提供一张反映生化信息的“代谢指纹”频谱图，从分子水平揭示疾病的病理生理变化。
</description><pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI Seq</category></item><item><title>03 GRE</title><link>https://troyzhou.top/notes/mri/mri-seq/03-gre/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri-seq/03-gre/</guid><description>在正式Gx梯度之前，我们会施加一个面积为Gx一半的反向梯度。通过这个梯度，我们可以让回波中心正好位于ADC的中心。
</description><pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI Seq</category></item><item><title>Lecture 1</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-1/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-1/</guid><description>函数：定义域到值域的映射
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 生物医学信号处理</category></item><item><title>Lecture 2</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-2/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-2/</guid><description>熟悉斜坡，阶跃，单位冲激函数的关系
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 生物医学信号处理</category></item><item><title>Lecture 3</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-3/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/biomedical-signal-processing/lecture-3/</guid><description>\delta函数的筛选特性：
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 生物医学信号处理</category></item><item><title>Lecture 1</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-1/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-1/</guid><description>定义： 经济主体如何配置稀缺资源，以及这些选择如何影响社会的学科
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 微观经济学</category></item><item><title>Lecture 2</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-2/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-2/</guid><description>最优化假设： 人们总会做出最优化的选择
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 微观经济学</category></item><item><title>Lecture 3</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-3/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E5%BE%AE%E8%A7%82%E7%BB%8F%E6%B5%8E%E5%AD%A6/lecture-3/</guid><description>关于偏好的符号描述：
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 微观经济学</category></item><item><title>Lecture 1</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-1/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-1/</guid><description>常用数制
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 数字电路</category></item><item><title>Lecture 2</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-2/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-2/</guid><description>真值表，逻辑表达式，卡诺图
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 数字电路</category></item><item><title>Lecture 3</title><link>https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-3/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E5%A4%A7%E4%BA%8C%E4%B8%8B/%E6%95%B0%E5%AD%97%E7%94%B5%E8%B7%AF/lecture-3/</guid><description>1. 信号的双向传输：两个相反的三态门，使用控制端+非门控制
</description><pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate><category>大二下 / 数字电路</category></item><item><title>10 Fast Imaging Method</title><link>https://troyzhou.top/notes/mri/mri_basics/10-fast-imaging-method/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/10-fast-imaging-method/</guid><description>同一切层由于频率编码/相位编码，需要多次重复采集才能填满k-space.
</description><pubDate>Wed, 11 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>浪潮之巅</title><link>https://troyzhou.top/notes/%E8%AF%BB%E4%B9%A6%E7%AC%94%E8%AE%B0/%E6%B5%AA%E6%BD%AE%E4%B9%8B%E5%B7%85/%E6%B5%AA%E6%BD%AE%E4%B9%8B%E5%B7%85/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E8%AF%BB%E4%B9%A6%E7%AC%94%E8%AE%B0/%E6%B5%AA%E6%BD%AE%E4%B9%8B%E5%B7%85/%E6%B5%AA%E6%BD%AE%E4%B9%8B%E5%B7%85/</guid><pubDate>Mon, 09 Mar 2026 00:00:00 GMT</pubDate><category>读书笔记 / 浪潮之巅</category></item><item><title>11 Imperfections and Artifacts</title><link>https://troyzhou.top/notes/mri/mri_basics/11-imperfections-and-artifacts/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/11-imperfections-and-artifacts/</guid><description>这里最重要的概念就是K-space的权重，我这里拿弛豫导致的衰减权重为例：
</description><pubDate>Sun, 08 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>08 Spatial Encoding &amp; K-space</title><link>https://troyzhou.top/notes/mri/mri_basics/08-spatial-encoding-k-space/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/08-spatial-encoding-k-space/</guid><description>Gy(n) = -G{yp} + (n-1)G{yi}
</description><pubDate>Tue, 03 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>09 Image Characteristics</title><link>https://troyzhou.top/notes/mri/mri_basics/09-image-characteristics/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/09-image-characteristics/</guid><description>视野（FOV) 由采样的步长决定，采样的步长越大，看到的视野越广：
</description><pubDate>Tue, 03 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>07 RF Pulse Design</title><link>https://troyzhou.top/notes/mri/mri_basics/07-rf-pulse-design/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/07-rf-pulse-design/</guid><description>概述 ：RF Pulse在翻转角小于60°时使用傅里叶变换作为工具，在翻转角为90°，180°时使用SLR(Shinnar-Le Roux)作为工具
</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>03 Basic Contrast Mechanisms</title><link>https://troyzhou.top/notes/mri/mri_basics/03-basic-contrast-mechanisms/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/03-basic-contrast-mechanisms/</guid><description>T1描述的是质子如何将吸收的能量释放给周围的分子结构（lattice），从而回到平衡态。周围分子的运动节奏和质子进动频率越接近，T1时间就越短。
</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>04 In Vivo Contrast Mechanisms</title><link>https://troyzhou.top/notes/mri/mri_basics/04-in-vivo-contrast-mechanisms/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/04-in-vivo-contrast-mechanisms/</guid><description>原理： 人体不同组织的导磁率略有不同，这导致不同组织的自选频率不同，产生一种宏观失相。
</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>05 Gradient and Spin Echo Pulse Sequence</title><link>https://troyzhou.top/notes/mri/mri_basics/05-gradient-and-spin-echo-pulse-sequence/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/05-gradient-and-spin-echo-pulse-sequence/</guid><description>梯度场差异会导致空间自选速度差异，施加反向梯度场可以纠正这种差异，让相位重新聚焦。
</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>06 RF Pulses</title><link>https://troyzhou.top/notes/mri/mri_basics/06-rf-pulses/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/06-rf-pulses/</guid><description>sinc函数的带宽与时间带宽积TBW的关系，以及SAR指标说明。</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>01 Pulse Sequence</title><link>https://troyzhou.top/notes/mri/mri_basics/01-pulse-sequence/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/01-pulse-sequence/</guid><description>在MRI成像中，为了填满k space,需要将基本脉冲序列重复几十次甚至上百次，而每一次的“相位编码梯度”（phase encoding gradient)的强度都会改变。
</description><pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>02 MRI Signal Equation</title><link>https://troyzhou.top/notes/mri/mri_basics/02-mri-signal-equation/</link><guid isPermaLink="true">https://troyzhou.top/notes/mri/mri_basics/02-mri-signal-equation/</guid><description>1. 离共振（off resonance)：质子的进动频率偏离了MRI系统设定的中心频率。离共振有很多原因，而化学位移是其中最重要的一个。
</description><pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate><category>MRI / MRI基础</category></item><item><title>向量叉乘的行列式记忆法</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%90%91%E9%87%8F%E5%8F%89%E4%B9%98%E7%9A%84%E8%A1%8C%E5%88%97%E5%BC%8F%E8%AE%B0%E5%BF%86%E6%B3%95/%E5%90%91%E9%87%8F%E5%8F%89%E4%B9%98%E7%9A%84%E8%A1%8C%E5%88%97%E5%BC%8F%E8%AE%B0%E5%BF%86%E6%B3%95/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%90%91%E9%87%8F%E5%8F%89%E4%B9%98%E7%9A%84%E8%A1%8C%E5%88%97%E5%BC%8F%E8%AE%B0%E5%BF%86%E6%B3%95/%E5%90%91%E9%87%8F%E5%8F%89%E4%B9%98%E7%9A%84%E8%A1%8C%E5%88%97%E5%BC%8F%E8%AE%B0%E5%BF%86%E6%B3%95/</guid><description>给定向量 \mathbf{a}=[ax,ay,az]^T 和 \mathbf{b}=[bx,by,bz]^T\ 
</description><pubDate>Wed, 15 Oct 2025 00:00:00 GMT</pubDate><category>数学杂记 / 向量叉乘的行列式记忆法</category></item><item><title>如何判断二元函数连续</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%A6%82%E4%BD%95%E5%88%A4%E6%96%AD%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E8%BF%9E%E7%BB%AD/%E5%A6%82%E4%BD%95%E5%88%A4%E6%96%AD%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E8%BF%9E%E7%BB%AD/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%A6%82%E4%BD%95%E5%88%A4%E6%96%AD%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E8%BF%9E%E7%BB%AD/%E5%A6%82%E4%BD%95%E5%88%A4%E6%96%AD%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E8%BF%9E%E7%BB%AD/</guid><description>设函数 z = f(x, y) 在点 (x0, y0) 的某个邻域内有定义。
</description><pubDate>Sun, 12 Oct 2025 00:00:00 GMT</pubDate><category>数学杂记 / 如何判断二元函数连续</category></item><item><title>0-0 数学杂记目录</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/0-0-%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0%E7%9B%AE%E5%BD%95/0-0-%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0%E7%9B%AE%E5%BD%95/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/0-0-%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0%E7%9B%AE%E5%BD%95/0-0-%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0%E7%9B%AE%E5%BD%95/</guid><description>微积分梳理
</description><pubDate>Sat, 27 Sep 2025 00:00:00 GMT</pubDate><category>数学杂记 / 0-0 数学杂记目录</category></item><item><title>Ln(z)和ln(z)的区别</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/ln-z-%E5%92%8Cln-z-%E7%9A%84%E5%8C%BA%E5%88%AB/ln-z-%E5%92%8Cln-z-%E7%9A%84%E5%8C%BA%E5%88%AB/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/ln-z-%E5%92%8Cln-z-%E7%9A%84%E5%8C%BA%E5%88%AB/ln-z-%E5%92%8Cln-z-%E7%9A%84%E5%8C%BA%E5%88%AB/</guid><description>Ln(z) (大写L): 代表 复对数函数 (Complex Logarithm)。
</description><pubDate>Sat, 27 Sep 2025 00:00:00 GMT</pubDate><category>数学杂记 / Ln(z)和ln(z)的区别</category></item><item><title>Ln(z) 复数对数</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/ln-z-%E5%A4%8D%E6%95%B0%E5%AF%B9%E6%95%B0/ln-z-%E5%A4%8D%E6%95%B0%E5%AF%B9%E6%95%B0/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/ln-z-%E5%A4%8D%E6%95%B0%E5%AF%B9%E6%95%B0/ln-z-%E5%A4%8D%E6%95%B0%E5%AF%B9%E6%95%B0/</guid><description>复数 z 的对数 Ln(z) 定义为：Ln(z) = ln|z| + i(Arg(z) + 2kπ)，其中 k 为任意整数。
</description><pubDate>Sat, 27 Sep 2025 00:00:00 GMT</pubDate><category>数学杂记 / Ln(z) 复数对数</category></item><item><title>三角与双曲函数的转换关系</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E4%B8%89%E8%A7%92%E4%B8%8E%E5%8F%8C%E6%9B%B2%E5%87%BD%E6%95%B0%E7%9A%84%E8%BD%AC%E6%8D%A2%E5%85%B3%E7%B3%BB/%E4%B8%89%E8%A7%92%E4%B8%8E%E5%8F%8C%E6%9B%B2%E5%87%BD%E6%95%B0%E7%9A%84%E8%BD%AC%E6%8D%A2%E5%85%B3%E7%B3%BB/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E4%B8%89%E8%A7%92%E4%B8%8E%E5%8F%8C%E6%9B%B2%E5%87%BD%E6%95%B0%E7%9A%84%E8%BD%AC%E6%8D%A2%E5%85%B3%E7%B3%BB/%E4%B8%89%E8%A7%92%E4%B8%8E%E5%8F%8C%E6%9B%B2%E5%87%BD%E6%95%B0%E7%9A%84%E8%BD%AC%E6%8D%A2%E5%85%B3%E7%B3%BB/</guid><description>由欧拉公式：
</description><pubDate>Sat, 27 Sep 2025 00:00:00 GMT</pubDate><category>数学杂记 / 三角与双曲函数的转换关系</category></item><item><title>已知二元函数偏导数，如何求原函数</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%B7%B2%E7%9F%A5%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E5%81%8F%E5%AF%BC%E6%95%B0-%E5%A6%82%E4%BD%95%E6%B1%82%E5%8E%9F%E5%87%BD%E6%95%B0/%E5%B7%B2%E7%9F%A5%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E5%81%8F%E5%AF%BC%E6%95%B0-%E5%A6%82%E4%BD%95%E6%B1%82%E5%8E%9F%E5%87%BD%E6%95%B0/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%B7%B2%E7%9F%A5%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E5%81%8F%E5%AF%BC%E6%95%B0-%E5%A6%82%E4%BD%95%E6%B1%82%E5%8E%9F%E5%87%BD%E6%95%B0/%E5%B7%B2%E7%9F%A5%E4%BA%8C%E5%85%83%E5%87%BD%E6%95%B0%E5%81%8F%E5%AF%BC%E6%95%B0-%E5%A6%82%E4%BD%95%E6%B1%82%E5%8E%9F%E5%87%BD%E6%95%B0/</guid><description>当已知一个二元函数的两个偏导数时，可以通过积分来求得原函数。这在求解全微分方程中是一个核心步骤。以下是详细的求解方法和步骤。
</description><pubDate>Sat, 27 Sep 2025 00:00:00 GMT</pubDate><category>数学杂记 / 已知二元函数偏导数，如何求原函数</category></item><item><title>微积分梳理</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%BE%AE%E7%A7%AF%E5%88%86%E6%A2%B3%E7%90%86/%E5%BE%AE%E7%A7%AF%E5%88%86%E6%A2%B3%E7%90%86/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/%E5%BE%AE%E7%A7%AF%E5%88%86%E6%A2%B3%E7%90%86/%E5%BE%AE%E7%A7%AF%E5%88%86%E6%A2%B3%E7%90%86/</guid><description>一、定义：
</description><pubDate>Sat, 27 Sep 2025 00:00:00 GMT</pubDate><category>数学杂记 / 微积分梳理</category></item><item><title>sec积分</title><link>https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/sec%E7%A7%AF%E5%88%86/sec%E7%A7%AF%E5%88%86/</link><guid isPermaLink="true">https://troyzhou.top/notes/%E6%95%B0%E5%AD%A6%E6%9D%82%E8%AE%B0/sec%E7%A7%AF%E5%88%86/sec%E7%A7%AF%E5%88%86/</guid><pubDate>Tue, 16 Sep 2025 00:00:00 GMT</pubDate><category>数学杂记 / sec积分</category></item></channel></rss>