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所在平台: Udemy |
课程主页: https://www.udemy.com/course/signals-and-systems-from-basics-to-advance/
课程评论：没有评论
课程名称：从基础到高级的信号与系统 课程概述：本课程讲解了信号与系统的表示和分类，并描述了连续时间信号的时域和频域分析，包括傅里叶级数、傅里叶变换和Z变换。课程旨在帮助学员理解线性系统的基本特性，并能够向他人解释这些特性。学员将会开发线性时不变系统的输入输出关系，并了解连续与离散时间系统的卷积运算。同时，课程深入探讨傅里叶变换的局限性及拉普拉斯变换的重要性，帮助学员在s域中分析系统。 学习内容： - 不同类型的信号 - 系统 - 傅里叶级数 - 傅里叶变换 - 拉普拉斯变换 - Z变换 - 作业与实践 重要信息： - 若本课程对您的职业发展无益，您可以在30天内申请全额退款。 - 注册后，您将拥有无限制的终身访问权限（如果在前30天内不选择退课）。 - 对课程的任何更新，您将享有即时和免费的访问权限，包括视频讲座、额外资源、测验和练习。 - 您将获得我的全力支持，解答您可能遇到的任何问题。 - 本课程不仅限于编程，您将深入探索信号与系统的应用。 在做出决定之前，欢迎查看页面顶部的宣传视频以及课程大纲中的一些免费的试听讲座，感受我的教学风格与方法。
This course explains signals and systems representations/classifications and also describe the time and frequency domain analysis of continuous time signals with Fourier series, Fourier transforms and Z transforms. Demonstrate an understanding of the fundamental properties of linear systems, by explaining the properties to others. Develop input output relationship for linear shift invariant system and understand the convolution operator for continuous and discrete time system. Understand the limitations of Fourier transform and need for Laplace transform and develop the ability to analyze the system in s- domain.What you will learn:Different types of Signals.SystemsFourier SeriesFourier TransformLaplace TransformZ-TransformAssignments.Important information before you enroll!If you find the course useless for your career, don't forget you are covered by a 30-day money back guarantee.Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).You will have instant and free access to any updates I'll add to the course - video lectures, additional resources, quizzes, exercises.You will benefit from my full support regarding any question you might have, This is not just a programming course, You will play with signals and systems.Check out the promo video at the top of this page and some of the free preview lectures in the curriculum to get a taste of my teaching style and methods before making your decision
