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XuetangX

Signals and Systems

University of Electronic Science and Technology of China via XuetangX

Overview

Signals and Systems is one of the compulsory courses for students major in electronic and information engineering. This course mainly studies deterministic signals and linear time-invariant systems. The concepts and methodologies involved in this course are significant to other engineering majors. Signals and Systems not only serves as the most fundamental course in engineering, but also aims to be the most beneficial, the most attractive, and the most useful course to all the engineering students. 

Syllabus

  • Chapter 1 Basic Concepts of Signals
    • 1.1 Observation and Representations of Signals
    • 1.2 Unit Impulse and Unit Step Signals
    • 1.3 Continuous-Time Complex Exponential Signals
    • 1.4 Discrete-Time Complex Exponential Signals
  • Chapter 2 Basic Concepts of Systems
    • 2.1 Representations and Classifications of Systems
    • 2.2 Basic Ideas for Analysis of LTI System Response
  • Chapter 3 Time Domain Analysis of Signals
    • 3.1 The Unit Impluse and Unit Step Functions
    • 3.2 Convolution of Signals in Time Domain
    • 3.3 Properties of LTI System and Convolution Sum/Integral
  • Chapter 4 Time Domain Analysis of LTI System
    • Chapter 5 Frequency Domain Analysis of Continuous Time Signals
      • 5.1 Representation of Fourier Series
      • 5.2 Properties of Fourier Series
      • 5.3 Representation of Aperiodic Signals
      • 5.4 Properties of Fourier Transform (1)
      • 5.5 Properties of Fourier Transform (2)
    • Chapter 6 Frequency Domain Analysis of Discrete Time Signals
      • 6.1 Discrete Time Fourier Series
      • 6.2 Discrete Time Fourier Transform
    • Chapter 7 Frequency Domain Analysis of Systems
      • 7.1 Frequency Domain Analysis of LTI System
      • 7.2 Filtering
      • 7.3 Sampling and Reconstruction
      • 7.4 Modulation and Demodulation
    • Chapter 8 Complex Frequency Domain Analysis of Continuous Time Signals
      • 8.1 Laplace Transform and Its ROC
      • 8.2 The Properties of Laplace Transform
      • 8.3 The Computation Methods of Inverse Laplace Transform
    • Chapter 9 Complex Frequency Domain Analysis of Discrete Time Signals
      • 9.1 Z-Transform and Its ROC
      • 9.2 The Properties of Z-Transform
      • 9.3 The Computation of InverseZ-Transform
    • Chapter 10 Complex Frequency Domain Analysis of Systems
      • 10.1 Complex Frequency Domain Analysis of Continuous Time Systems
      • 10.2 Complex Frequency Domain Analysis of Discrete Time Systems
      • 10.3 System Characteristics
    • Final Examination

      Taught by

      Wu Junjie, Cheng Ting, Cui Zongyong, Yao Baicheng, and Zeng Tianjiao

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