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所在平台: Udemy |
课程主页: https://www.udemy.com/course/elec2000-circuits-signals-systems/
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ELEC2000 - 电路、信号与系统 本课程是为已完成“电机工程导论”课程的学生设计的，旨在帮助他们进一步提升电路分析的理解和技能。课程涵盖了电气工程职业生涯中所有重要的分析技术，包括拉普拉斯变换、元件阻抗、强迫响应与暂态响应、极点与零点、传递函数、频率响应、傅里叶级数与傅里叶变换以及滤波器设计。 课程内容概览： * **第一部分：电容与电感** * 深入剖析电容和电感的工作原理，巩固对 Ohm 定律、KVL 和 KCL 等重要概念的理解。 * 学习如何运用基本原理分析简单的 RL 和 RC 电路。 * **第二部分：拉普拉斯变换与电路分析** * 介绍拉普拉斯变换的定义、意义及其在电路分析中的应用。 * 讲解拉普拉斯变换如何导出元件阻抗。 * 探讨拉普拉斯变换与强迫响应、暂态响应的结合使用，并解释 jwL 和 sL 之间的区别。 * **第三部分：系统与传递函数** * 阐述系统和传递函数的概念，以及它们如何实现灵活的输入输出信号处理。 * 演示如何进行系统的数学组合。 * 学习如何利用传递函数绘制伯德图和相位图（即频率响应）。 * **第四部分：信号的傅里叶分析** * 区分傅里叶级数和傅里叶变换。 * 通过 Python 程序，将傅里叶变换应用于模拟信号和音频文件。 * **第五部分：滤波器设计** * 通过实际案例，展示如何运用所学知识设计数字滤波器和模拟滤波器。
The goal of this course is for students who have completed Introduction to EE course to continue improving their understandings and skills on Circuit Analysis. It covers all the important techniques that you will need during your entire Electrical Engineering career, including Laplace Transform, Element Impedance, Forced & Natural Response, Poles & Zeros, Transfer Function, Frequency Response, Fourier Series & Fourier Transform and Filter Design.This course starts with dissecting capacitors and inductors. You will have a much solid understanding of the working principles of these two fundamentally important elements. This first section will also help you revise some of the important concepts that you learned from the previous course, such as Ohm's Law, KVL and KCL. You will learn how to analyse simple RL & RC circuit using the first principles.The second section of the course introduces the powerful Laplace Transform. You will learn what it is, why we study it and how to apply it on circuit analysis. You will also see how we go from Laplace Transform to Element Impedance and how we use Laplace in conjunction with Forced & Natural Response. Here we will clarify many questions that most students have over the years. For example, what is the difference between the impedance jwL and sL? The third section focuses on Systems. You will learn what Systems and Transfer Functions are, how it helps us to have flexible input and output signal, and how to combine systems mathematically. Here we will go through producing a Bode plot and a Phase Plot (i.e. Frequency Response) using the Transfer Function. Section 4 deals with Signals. You will learn the difference between Fourier Series & Fourier Transform. We will also learn to apply Fourier Transform on a simulated signal as well as on an audio file using a Python program.Lastly, we will go through a practical example of designing a filter. You will see how we can use all the knowledge that we acquired to design a digital and an analogue filter.
