Add note
PinkR1ver
0
content/.trash/RF.md
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0
content/.trash/Untitled 3.md
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@ -11,4 +11,4 @@ date: 2023-09-04
|
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|
||||
## Basic concepts
|
||||
|
||||
* [different_programming_interfaces](computer_sci/hardware/MCU/different_programming_interfaces.md)
|
||||
* [different_programming_interfaces](eletrical_electronics/MCU/different_programming_interfaces.md)
|
||||
8
content/art/art_MOC.md
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@ -0,0 +1,8 @@
|
||||
---
|
||||
title: Art - MOC
|
||||
tags:
|
||||
- art
|
||||
- MOC
|
||||
date: 2024-05-21
|
||||
---
|
||||
* [Art Style MOC](art/art_style/art_style_MOC.md)
|
||||
9
content/art/art_style/art_style_MOC.md
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@ -0,0 +1,9 @@
|
||||
---
|
||||
title: Art Style - MOC
|
||||
tags:
|
||||
- MOC
|
||||
- art
|
||||
- art-style
|
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date: 2024-05-21
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---
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* [Low Poly](art/art_style/low_poly/low_ploy.md)
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60
content/art/art_style/low_poly/low_ploy.md
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---
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title: Art Style - Low-Poly
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tags:
|
||||
- art
|
||||
- art-style
|
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date: 2024-05-21
|
||||
---
|
||||
# From AIGC
|
||||
|
||||
Low-poly风格是一种现代的图形设计和艺术风格，它以使用大量小的多边形（通常是三角形）来创建三维模型的表面而闻名。这种风格的特点包括：
|
||||
|
||||
1. **简化的几何形状**：Low-poly风格通常使用较少的多边形来模拟复杂的形状，这使得模型看起来由许多小的平面组成。
|
||||
|
||||
2. **高度抽象**：由于多边形数量有限，low-poly模型往往不会展示细节，而是通过抽象的方式呈现对象的基本形状和轮廓。
|
||||
|
||||
3. **艺术性**：这种风格因其独特的视觉效果而具有很高的艺术性，常用于游戏、动画、平面设计和艺术作品。
|
||||
|
||||
4. **优化性能**：在游戏和动画中，low-poly风格可以减少渲染的复杂度，从而优化性能，特别是在资源有限的平台上。
|
||||
|
||||
5. **视觉冲击力**：Low-poly风格因其独特的视觉效果而能够吸引观众的注意力，创造出强烈的视觉冲击力。
|
||||
|
||||
6. **色彩鲜明**：Low-poly设计通常使用鲜明的色彩和高对比度，以增强视觉效果。
|
||||
|
||||
7. **现代感**：这种风格与现代设计趋势相吻合，给人一种时尚和前卫的感觉。
|
||||
|
||||
|
||||
Low-poly风格在视觉艺术和数字媒体中非常流行，它能够以一种简洁而富有表现力的方式传达信息和情感。这种风格在游戏设计中尤其受到欢迎，因为它可以在不牺牲太多视觉质量的情况下，提供流畅的游戏体验。
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||||
|
||||
|
||||
# Talking
|
||||
|
||||
> [!info]
|
||||
> Low Poly的美感在于其锋利的边缘和丰富多彩的光影，以及将有机体概括为几何块面的挑战
|
||||
# Example
|
||||
|
||||
## Overview
|
||||
|
||||
|
||||
|
||||
## Work
|
||||
|
||||
### Art of Rally
|
||||
|
||||
A low-ploy style game of rally.
|
||||
|
||||
|
||||
|
||||
### Issey Miyake's Bag
|
||||
|
||||
|
||||
|
||||
Link: https://us-store.isseymiyake.com/collections/bags
|
||||
## Artist
|
||||
|
||||
* [Timothy J. Reynolds](https://www.timothyjoereynolds.com/)
|
||||
* [Eran Hilleli](https://eranhilleli.com/)
|
||||
|
||||
# Reference
|
||||
|
||||
* https://zh.wikipedia.org/wiki/%E4%BD%8E%E5%A4%9A%E8%BE%B9%E5%BD%A2
|
||||
@ -9,11 +9,6 @@ date: 2024-02-28
|
||||
|
||||
* [Deep Learning & Machine Learning](computer_sci/deep_learning_and_machine_learning/deep_learning_MOC.md)
|
||||
|
||||
* [[synthetic_aperture_radar_imaging/SAR_MOC| Synthetic Aperture Radar(SAR) Imaging]]
|
||||
|
||||
|
||||
💻 Also, his research needs some basic science to support
|
||||
|
||||
* [Data Structure and Algorithm MOC](computer_sci/data_structure_and_algorithm/MOC.md)
|
||||
|
||||
* [Hardware](computer_sci/hardware/hardware_MOC.md)
|
||||
@ -52,6 +47,8 @@ date: 2024-02-28
|
||||
|
||||
* [🎬Watching List](https://pinkr1ver.notion.site/5e136466f3664ff1aaaa75b85446e5b4?v=a41efbce52a84f7aa89d8f649f4620f6&pvs=4)
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||||
|
||||
* [🖌️Art](art/art_MOC.md)
|
||||
|
||||
⭐ Here to find my recent study:
|
||||
|
||||
* [Recent notes (this function cannot be used on web)](recent.md)
|
||||
|
||||
@ -8,11 +8,12 @@ date: 2023-12-18
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||||
|
||||
# Basic Concept
|
||||
|
||||
# Curve Fitting
|
||||
## Basic Statistics
|
||||
|
||||
* [Independence & Correlation](data_sci/basic/relationship.md)
|
||||
## Curve Fitting
|
||||
|
||||
# [Stochastic Process](data_sci/stochastic_process/MOC.md)
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||||
|
||||
* [Error Function in Curve Fitting](data_sci/fit/error_function.md)
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||||
|
||||
# Data visualization
|
||||
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@ -22,5 +23,11 @@ date: 2023-12-18
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||||
## Visualization Tool
|
||||
|
||||
* [Tableau](data_sci/visualization/visual_tool/Tableau/tableau_learn_basic.md)
|
||||
## Visualization Graphics
|
||||
|
||||
* [Visualizing Data Distributions](data_sci/visualization/sci_graphics/data_distributions.md)
|
||||
* [Waterfall](data_sci/visualization/sci_graphics/waterfall.md)
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||||
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||||
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||||
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||||
@ -0,0 +1,11 @@
|
||||
---
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||||
title: Visualizing Data Distributions
|
||||
tags:
|
||||
- data
|
||||
- data-visual
|
||||
- basic
|
||||
date: 2024-05-21
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||||
---
|
||||
# Reference
|
||||
|
||||
* https://rafalab.dfci.harvard.edu/dsbook-part-1/dataviz/distributions.html
|
||||
22
content/electrical_electronics/EE_MOC.md
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@ -0,0 +1,22 @@
|
||||
---
|
||||
title: Electrical and Electronics - MOC
|
||||
tags:
|
||||
- MOC
|
||||
- basic
|
||||
- ee
|
||||
date: 2024-05-21
|
||||
---
|
||||
|
||||
# Basic
|
||||
|
||||
## Pinouts
|
||||
|
||||
|
||||
# RF About
|
||||
|
||||
## Basic
|
||||
|
||||
* [Antenna](electrical_electronics/RF/antenna.md)
|
||||
## SAR
|
||||
|
||||
* [SAR_MOC](electrical_electronics/RF/algrothim/SAR/SAR_MOC.md)
|
||||
11
content/electrical_electronics/RF/algrothim/SAR/SAR_MOC.md
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@ -0,0 +1,11 @@
|
||||
---
|
||||
title: "Synthetic Aperture Radar (SAR) Imaging - MOC"
|
||||
tags:
|
||||
- SAR
|
||||
- MOC
|
||||
date: 2023-06-30
|
||||
---
|
||||
# SAR
|
||||
|
||||
* [[electrical_electronics/RF/algrothim/SAR/SAR_explained|SAR Explained]]
|
||||
* [SAR Imaging Algorithm review in 2022](electrical_electronics/RF/algrothim/SAR/SAR_imaging_algorithm.md)
|
||||
@ -10,7 +10,7 @@ date: 2023-11-30
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||||
|
||||
## Down Looking vs. Side Looking
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||||
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||||
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|
||||
Down Looking不能区分距离一样的a，b点，一般只用于monitoring of air and naval traffic
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@ -32,28 +32,28 @@ The transmitter generates successive short bursts or pulses of microwave at regu
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|
||||
---
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||||
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||||
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||||
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||||
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||||
* Radar can measure *amplitude* and *phase*
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||||
* Radar can only measure part of echoes.
|
||||
* The strength of the reflected echo is the backscattering coefficient ([sigma nought](synthetic_aperture_radar_imaging/radiometric_calibration.md)）and is expressed in [decibels(dB)](signal/signal_processing/basic_knowledge/concept/what_is_dB.md)
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||||
* The strength of the reflected echo is the backscattering coefficient ([sigma nought](electrical_electronics/RF/algrothim/SAR/radiometric_calibration.md)）and is expressed in [decibels(dB)](signal/signal_processing/basic_knowledge/concept/what_is_dB.md)
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||||
|
||||
## Radar Resolution
|
||||
|
||||
### Detail geometry
|
||||
|
||||
|
||||
|
||||
<font size=1>**Fig** *Geometry of a side-looking real aperture radar. (SLAR)*</font>
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|
||||
side-looking的雷达被分为two types —— real aperture radar(*SLAR or SLR*, SL for side-looking)和synthetic aperture radar(SAR)
|
||||
|
||||
如上图所示，雷达发出的pulse被[antenna聚焦](synthetic_aperture_radar_imaging/antenna.md)在一个narrow的area里，然后scatter后在不同和的时间再被receiver接收
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如上图所示，雷达发出的pulse被[antenna聚焦](electrical_electronics/RF/antenna.md)在一个narrow的area里，然后scatter后在不同和的时间再被receiver接收
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||||
|
||||
### Resolution
|
||||
|
||||
当我们谈SAR的分辨率时，我们要知道有四种operating modes对于SAR而言。
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||||
|
||||
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||||
|
||||
|
||||
* Stripmap SAR
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||||
* Spotlight SAR
|
||||
@ -62,15 +62,15 @@ side-looking的雷达被分为two types —— real aperture radar(*SLAR or SLR*
|
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|
||||
其中Stripmap SAR, Spotlight SAR, Circular SAR这三种最为常用
|
||||
|
||||
|
||||
|
||||
|
||||
Stripmap SAR是将antenna固定在platform，以straight line方式移动并连续接发pulse，它的优势是可以cover large area。
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||||
|
||||
|
||||
|
||||
|
||||
Spotlight SAR天线不断移动以照射同一区域，它的特点是high-resolution image，因为它从不同的角度收集同一区域的data
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|
||||
|
||||
|
||||
|
||||
Circular SAR通过circular trajectory窥探同一片area，它跟spotlight SAR很像，区别在于Spotlight mode里antenna是不动的，只有平台在移动，而在circular mode里，antenna也在移动，来收集$360^\circ$信息，circular SAR的分辨率计算时，认为反射是$360^\circ$各向同性反射，所以是理论分辨率。
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|
||||
@ -79,7 +79,7 @@ Circular SAR通过circular trajectory窥探同一片area，它跟spotlight SAR
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||||
|
||||
#### Range Resolution & Azimuth Resolution
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||||
|
||||
|
||||
|
||||
|
||||
这是一张可以快速check概念的图
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|
||||
@ -104,7 +104,7 @@ Table. *Range and azimuth resolution*
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|
||||
## Radar Image Format
|
||||
|
||||
|
||||
|
||||
|
||||
## Radar Key Parameters
|
||||
* Wave Length
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@ -113,7 +113,7 @@ Table. *Range and azimuth resolution*
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|
||||
### Wave Length
|
||||
|
||||
|
||||
|
||||
|
||||
雷达数据的空间分辨率与传感器波长与传感器天线长度之比直接相关。 对于给定的波长，天线越长，空间分辨率越高。 对于以大约 5 cm 波长运行的太空卫星（C 波段雷达），为了获得 10 m 的空间分辨率，您需要一个大约 4,250 m 长的雷达天线。 （超过 47 个足球场！）
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|
||||
@ -54,9 +54,9 @@ SAR成像是对一个区域的散射特性进行成像，这个区域的地形
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|
||||
---
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
如图，针对红点目标，SAR从A点开始照射到P点最接近目标，直到B点离开红点离开。
|
||||
|
||||
@ -107,13 +107,13 @@ Range-Doppler Algorithm是SAR成像的第一个算法，在1970年代被develope
|
||||
|
||||
步骤如下：
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||||
|
||||
|
||||
|
||||
|
||||
## Range Compression
|
||||
|
||||
|
||||
|
||||
|
||||
距离参考函数是一系列复数，表示天线发射的原始啁啾信号(original [chirp](synthetic_aperture_radar_imaging/Chirp.md))。
|
||||
距离参考函数是一系列复数，表示天线发射的原始啁啾信号(original [chirp](signal/signal_processing/basic_knowledge/concept/chirp.md))。
|
||||
|
||||
天线发射的原始线性调频信号（**linear-frequency chirp**）是一种线性调频连续波信号，它的频率随着时间线性变化，形成一种锯齿状的波形。这种信号可以用数学公式表示为：
|
||||
|
||||
@ -123,7 +123,7 @@ $$ s(t) = \cos\left(2\pi\left(f_c t + \frac{B}{T} t^2\right)\right) $$
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||||
|
||||
## Azimuth Compression
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
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@ -17,7 +17,7 @@ A usually metallic device for radiating or receiving radio waves
|
||||
|
||||
## A simple model representing antenna
|
||||
|
||||
|
||||
|
||||
|
||||
* $R_L$ 损耗电阻 - 介质与结构导致的损耗
|
||||
* $R_r$ 辐射电阻 - 与天线产生的辐射的能量关系密切
|
||||
@ -30,26 +30,26 @@ A usually metallic device for radiating or receiving radio waves
|
||||
|
||||
## Wire antennas
|
||||
|
||||
|
||||
|
||||
|
||||
## Aperture antennas
|
||||
|
||||
|
||||
|
||||
|
||||
## Microstrip antennas
|
||||
|
||||
|
||||
|
||||
|
||||
## Array antennas
|
||||
|
||||
|
||||
|
||||
|
||||
> [!hint]
|
||||
> 天线的目的简单来说，就是为了将能量尽可能辐射出去，同时按照你希望的方向和区间辐射。
|
||||
|
||||
## Reflector antennas & Lens antennas
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# Radiation mechanism
|
||||
@ -66,7 +66,7 @@ Radiate all the power delivered to it from the transmitter in a desired directio
|
||||
|
||||
### How are EM fields generated by the source?
|
||||
|
||||
|
||||
|
||||
|
||||
* $q_v$电荷密度，$C/m^3$
|
||||
* $v_Z$电荷移动速度，$m/s$
|
||||
@ -100,7 +100,7 @@ $$
|
||||
|
||||
### How are EM fields contained and guided within the transmission line & antenna?
|
||||
|
||||
|
||||
|
||||
|
||||
radiation要考虑两个方面，一方面激发电场那边提供的电子的加速，另一方面时end部分的pause造成的电子的减速，这两边会有最主要的辐射；
|
||||
|
||||
@ -0,0 +1,16 @@
|
||||
---
|
||||
title: Pinouts for commonly used components
|
||||
tags:
|
||||
- basic
|
||||
- pinouts
|
||||
- ee
|
||||
date: 2024-05-21
|
||||
---
|
||||
|
||||
# Books
|
||||
|
||||
* [Pinouts_V0.3](electrical_electronics/basic/pinouts/attachments/Pinouts_V0.3.pdf)
|
||||
|
||||
# Reference
|
||||
|
||||
* https://pinouts.org/
|
||||
@ -11,4 +11,5 @@ date: 2023-12-03
|
||||
# Jude's Guide
|
||||
|
||||
* [🥐Jude’s Guide](https://pinkr1ver.notion.site/17d0f10938f8407cb50910d24b668655?v=870bd05876044fdb91308ffa13c7ff01&pvs=4)
|
||||
* [Jude's 大众点评](https://www.dianping.com/member/1755243850)
|
||||
# Study Note
|
||||
|
||||
@ -13,7 +13,7 @@ date: 2023-06-30
|
||||
电路中电容器$L$、电感器$C$两组件之能量相等，当能量由电路中某一电抗组件释出时，且另一电抗组件必吸收相同之能量，即此两电抗组件间会产生一能量脉动。
|
||||
|
||||
# 两种简单的谐振电路
|
||||
|
||||
|
||||
|
||||
|
||||
以串联谐振为例
|
||||
|
||||
@ -8,7 +8,7 @@ date: 2023-06-30
|
||||
|
||||
啁啾（Chirp）是指频率随时间而改变（增加或减少）的信号。其名称来源于这种信号听起来类似鸟鸣的啾声。
|
||||
|
||||
|
||||
|
||||
|
||||
Chirp常常被用在sonar, radar, laser systems里。其中，为了能够测量长距离又保留时间的分辨率，雷达需要短时间的派冲波但是又要持续的发射信号，啁啾信号可以同时保留连续信号和脉冲的特性，因此被应用在雷达和声纳探测上。
|
||||
|
||||
@ -42,7 +42,7 @@ $$
|
||||
|
||||
## Linear
|
||||
|
||||
|
||||
|
||||
|
||||
啁啾的瞬时频率$f(t)$呈线性变化
|
||||
|
||||
@ -69,7 +69,7 @@ $$
|
||||
|
||||
## Exponential
|
||||
|
||||
|
||||
|
||||
|
||||
Exponential chirp，也叫geometric chirp，瞬时频率以指数变化，即$f(t_2)/f(t_1)$会是常数
|
||||
|
||||
@ -1,17 +0,0 @@
|
||||
---
|
||||
title: "Synthetic Aperture Radar (SAR) Imaging - MOC"
|
||||
tags:
|
||||
- SAR
|
||||
- MOC
|
||||
date: 2023-06-30
|
||||
---
|
||||
|
||||
|
||||
# Antenna
|
||||
|
||||
* [antenna](synthetic_aperture_radar_imaging/antenna.md)
|
||||
|
||||
# SAR
|
||||
|
||||
* [[synthetic_aperture_radar_imaging/SAR_explained|SAR Explained]]
|
||||
* [SAR Imaging Algorithm review in 2022](synthetic_aperture_radar_imaging/SAR_imaging_algorithm.md)
|
||||