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Qin Gong

By the end of the course, you will learn concepts, principles, analysisand designs of deterministic signals transmitting and processing through linear time-invariant systems. You will also learn ways to analyze signals and systems from various perspectives such as time domain versustransform domain,continuoussignalsversusdiscretesignals. This course will emphasize on how to represent and describesignals and systems, and will provide in-depthunderstanding of properties and applications of Fourier transform, Laplace transform, z-transform and filter design. When completing the course, youwill obtain knowledge of analytical theories of signals and systems in both time and frequency domains, and of analyzing system functionsand theirapplicationsonfilter design. All of which will lay solid foundation for futurecourses. This course is a major prerequisite to entrance tests for graduate study.

What's inside

Learning objective

This course will cover design and analysis of continuous time systems and discrete time systems, with the focus on fundamental concepts, analysis and designs of deterministic signals being transmitted and processed through linear time-invariant systems. you will study ways to perform comprehensive analysis and design for various signals and systems ranging from time domain to transform domain, from continuous signals to discrete signals. while majority of the context in the first four chapters will discuss how to analyze and design continuous time system, including analysis of its time domain, frequency domain and s domain, the first chapter gives an introduction of the course, the second talks about time domain analysis of continuous time system, the third focuses on fourier transform, and the fourth introduces s-domain analysis of continuous time system. the rest of the four chapters will discuss how to analyze and design discrete time system, including analysis of its time domain, frequency domain and z domain, with each chapter contributes to time domain analysis of discrete time system, z domain analysis of discrete time system, discrete fourier transform and filter design respectively.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers a solid foundation for future courses
Provides in-depth understanding of properties and applications of Fourier transform, Laplace transform, z-transform and filter design
Develops analytical theories of signals and systems in both time and frequency domains
Emphasizes on representing and describing signals and systems
Lays solid foundation for future courses
Prerequisite to entrance tests for graduate study

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Reviews summary

信号系统:理论深厚,考研基石

根据学生反馈,清华大学的《信号与系统》课程被认为是一门理论深厚内容全面体系严谨的专业核心课程。学习者普遍表示,课程对傅里叶、拉普拉斯和Z变换等抽象概念的讲解深入透彻,极大地帮助他们消除了困惑,为未来考研深造打下了坚实的基础授课老师的专业素养逻辑清晰的讲解得到了广泛认可,使复杂内容深入浅出。 然而,也有部分学生指出,由于课程理论性极强数学要求高,对于数学基础薄弱的学习者来说,可能会感到学习压力较大难以跟上进度。一些评论建议课程可增加现代化应用案例软件仿真演示,以弥补实践环节较少的不足。尽管如此,大多数学习者仍认为这是一门挑战性高但收获巨大宝贵课程
为考研及后续专业学习奠定坚实基础。
"对我未来考研和深造打下了坚实基础。"
"这门课对理解数字信号处理至关重要。"
"为我后续学习通信原理打下了坚实的基础。"
教师讲解清晰易懂,有效化解复杂概念。
"老师的教学方法和辅助材料让整个学习过程变得高效。特别是对各种变换的几何意义讲解得非常到位,消除了我之前的困惑。"
"对基本概念的阐述非常清晰,让我对信号与系统有了系统性的理解。"
"深入浅出,例题精选,一步步引导我掌握了复杂的概念。强烈推荐!"
课程内容全面深入,构建坚实理论基础。
"这门《信号与系统》课程真是太棒了!清华大学的老师讲解得非常深入透彻,将傅里叶、拉普拉斯和Z变换等抽象概念讲得非常清晰。"
"课程内容非常全面和深入,覆盖了信号与系统的核心理论。老师的讲解逻辑性很强,条理清晰。"
"清华的招牌课程果然名不虚传,老师将信号与系统这门硬骨头啃得津津有味。课程结构严谨,内容连贯。"
理论侧重较多,实际工程应用案例或实验偏少。
"理论性强,实践部分较少。"
"感觉课程过于强调理论推导,对实际工程应用涉猎较少。希望未来能增加一些实验内容或案例分析。"
"如果能加入更多现代化应用案例或者软件仿真演示,会更有趣、更直观。"
"实践部分的缺乏对我们工程师来说确实有些遗憾。"
课程难度高,对学习者的数学功底有较高要求。
"对于数学基础不够扎实的同学来说,可能会觉得有些吃力,需要投入大量时间预习和复习。"
"坦白说,这门课对我来说太难了。如果没有很强的数学功底,很难跟上。"
"感觉这门课程更适合有一定基础的学生来学习。"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Signals and Systems | 信号与系统 with these activities:
设计一个小型数据库系统
这个项目将让你亲身体验数据库设计和开发的过程,加深你对本课程所学知识的理解。
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  • 确定项目的范围和目标。
  • 设计数据库架构,包括表、字段和关系。
  • 创建数据库并填充数据。
  • 编写SQL查询来检索和操作数据。
  • 部署数据库系统并对其进行测试。
Show all one activities

Career center

Learners who complete Signals and Systems | 信号与系统 will develop knowledge and skills that may be useful to these careers:
Control Systems Engineer
Control Systems Engineers design and develop systems to control machines and processes. They use their knowledge of signals and systems to create systems that are stable, efficient, and accurate. This course provides a strong foundation in the analysis and design of linear time-invariant systems, which is essential for success in this role.
Signal Processing Engineer
Signal Processing Engineers design and develop systems to process signals, such as audio, video, and data. They use their knowledge of signals and systems to create systems that can extract meaningful information from signals. This course provides a strong foundation in the analysis and design of both continuous-time and discrete-time systems, which is essential for success in this role.
Communications Engineer
Communications Engineers design and develop systems to transmit and receive information over long distances. They use their knowledge of signals and systems to create systems that are reliable and efficient. This course provides a strong foundation in the analysis and design of both analog and digital communication systems, which is essential for success in this role.
Electrical Engineer
Electrical Engineers design and develop electrical systems, such as power systems, lighting systems, and control systems. They use their knowledge of signals and systems to create systems that are safe, efficient, and reliable. This course provides a strong foundation in the analysis and design of both analog and digital electrical systems, which is essential for success in this role.
Computer Engineer
Computer Engineers design and develop computer systems, such as hardware, software, and networks. They use their knowledge of signals and systems to create systems that are fast, efficient, and reliable. This course provides a strong foundation in the analysis and design of both analog and digital computer systems, which is essential for success in this role.
Data Scientist
Data Scientists use their knowledge of signals and systems to extract meaningful information from data. They use this information to make predictions, develop new products, and improve decision-making. This course provides a strong foundation in the analysis and design of data systems, which is essential for success in this role.
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning systems, such as image recognition systems, natural language processing systems, and predictive analytics systems. They use their knowledge of signals and systems to create systems that can learn from data and make predictions. This course provides a strong foundation in the analysis and design of machine learning systems, which is essential for success in this role.
Operations Research Analyst
Operations Research Analysts use their knowledge of signals and systems to solve complex problems in a variety of industries, such as manufacturing, transportation, and healthcare. They use this knowledge to develop systems that are efficient, cost-effective, and reliable. This course provides a strong foundation in the analysis and design of operations research systems, which is essential for success in this role.
Financial Analyst
Financial Analysts use their knowledge of signals and systems to analyze financial data and make investment recommendations. They use this knowledge to develop systems that can identify trends, predict risks, and optimize returns. This course provides a strong foundation in the analysis and design of financial systems, which is essential for success in this role.
Quantitative Analyst
Quantitative Analysts use their knowledge of signals and systems to analyze financial data and develop trading strategies. They use this knowledge to develop systems that can identify trends, predict risks, and optimize returns. This course provides a strong foundation in the analysis and design of financial systems, which is essential for success in this role.
Business Analyst
Business Analysts use their knowledge of signals and systems to analyze business data and make recommendations. They use this knowledge to develop systems that can identify trends, predict risks, and optimize performance. This course provides a strong foundation in the analysis and design of business systems, which is essential for success in this role.
Systems Analyst
Systems Analysts use their knowledge of signals and systems to analyze computer systems and make recommendations. They use this knowledge to develop systems that are efficient, cost-effective, and reliable. This course provides a strong foundation in the analysis and design of computer systems, which is essential for success in this role.
Software Engineer
Software Engineers use their knowledge of signals and systems to design and develop software systems. They use this knowledge to develop systems that are efficient, cost-effective, and reliable. This course provides a strong foundation in the analysis and design of software systems, which is essential for success in this role.
Hardware Engineer
Hardware Engineers use their knowledge of signals and systems to design and develop hardware systems. They use this knowledge to develop systems that are efficient, cost-effective, and reliable. This course provides a strong foundation in the analysis and design of hardware systems, which is essential for success in this role.
Network Engineer
Network Engineers use their knowledge of signals and systems to design and develop network systems. They use this knowledge to develop systems that are efficient, cost-effective, and reliable. This course provides a strong foundation in the analysis and design of network systems, which is essential for success in this role.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Signals and Systems | 信号与系统.
This comprehensive textbook provides a thorough foundation in the fundamentals of signals and systems, making it an excellent supplemental resource for this course. It covers essential concepts such as time-domain and frequency-domain analysis, Laplace transforms, and digital signal processing.
Offers a comprehensive treatment of continuous-time signals and systems, with a focus on practical applications using MATLAB. It would provide a valuable complement to the course by reinforcing concepts and offering hands-on examples.
This beginner-friendly textbook provides a clear and concise introduction to signals and systems. It would be a useful resource for students who need additional foundation or review of basic concepts.
While probability and random processes are not directly covered in the course, this book provides a comprehensive treatment of these topics, which are fundamental to many applications in signal processing and communication.
This widely-used textbook offers a comprehensive treatment of linear systems and signals. It can serve as a reference tool and provide additional depth for those interested in a more thorough understanding of the subject.
While the course focuses on continuous-time systems, this book provides a comprehensive introduction to digital signal processing, which can be a valuable extension for those interested in this field.
Explores feedback control of dynamic systems, which is not explicitly covered in the course but can be a valuable addition for those interested in control theory and its applications.

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