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.
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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.
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.
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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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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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.
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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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Effort
3 to 4 hours per week for 12 weeks
Level
Introductory
Via
edX
Institution
Tsinghua University
Instructor
Qin Gong
Language
中文
Transcript
中文
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
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