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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.
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.