### 2021　Signal and System Analysis

Font size  SML

Undergraduate major in Information and Communications Engineering
Instructor(s)
Course component(s)
Lecture / Exercise    (ZOOM)
Day/Period(Room No.)
Tue3-4(I311)  Fri1-4(I311)
Group
-
Course number
ICT.S206
Credits
3
2021
Offered quarter
2Q
Syllabus updated
2021/5/16
Lecture notes updated
-
Language used
Japanese
Access Index

### Course description and aims

In the broad range of the information and communications engineering, signal analysis has been a powerful mathematical tool box for understanding the behaviors of signals and systems through alternative expressions, , as the sum / integral of well-understood elementary functions, e.g, monomial functions and trigonometric functions. Starting from the elementary complex analysis as a prerequisite of the signal analysis, this lecture surveys its central ideas found, e.g., in Taylor series expansion, Laurent series expansion, Fourier series expansion, Fourier transform, Sampling theorems, Discrete time Fourier transform and Laplace transform.

### Student learning outcomes

Through the lectures and seminars, the students will be able to:
1) understand mathematical treatments of complex functions.
2) understand the mathematical ideas and calculation methods of the major signal analyses, e.g., Fourier series, Fourier transform, Laplace transform.
3) understand the technical value of the frequency analysis and apply to the broad range of Information and Communications engineering.

### Keywords

Linear systems, Eigen functions, Complex Analysis, Euler's formula, Complex derivative, Cauchy-Riemann equation, Holomorphic function, Complex integral, Cauchy's integral theorem, Cauchy's integral formula, Cauchy's residue theorem, Laurent series expansion, Taylor series expansion, Fourier series expansion, Complex Fourier series expansion, Fourier Integral, Fourier transform, Sampling theorem, Discrete time Fourier transform, Laplace transform, Differential equation, Linear time invariant systems and frequency responses.

### Competencies that will be developed

 ✔ Specialist skills Intercultural skills Communication skills ✔ Critical thinking skills ✔ Practical and/or problem-solving skills

### Class flow

Two lectures and one seminar are given in every week.

### Course schedule/Required learning

Course schedule Required learning
Class 1 Invitation to Signal and System Analysis: Eigen functions of Linear Systems Explain about eigen functions of linear systems.
Class 2 Complex number system: four arithmetic operations, Euler's formula Explain how real field can be extended to complex field. Explain about Euler's formula
Class 3 Complex functions: Continuity, Differentiability, Cauchy-Riemann's equation, Holomorphic function Explain about the relation between differentiability of two variable real function and complex function.
Class 4 Holomorphic function and Complex Integral: Cauchy's integral theorem, Cauchy's integral formula Explain Cauchy's integral theorem and Cauchy's integral formula.
Class 5 Taylor series expansion and Laurent series expansion Explain about the relation between Taylor series expansion and Laurent series expansion.
Class 6 Cauchy's residue theorem and its application to definite integral Explain about Cauchy's residue theorem and how this theorem can be applied to application to definite integral.
Class 7 Supplementary Lecture on Complex Analysis Explain about the elements of the complex analysis.
Class 8 Fourier series 1: Definition and properties of Fourier seeries Explain the properties of the Fourier series and show the proof of them.
Class 9 Fourier series 2: Convergence of Fourier series Fourier transform1 : Definition and convergence of Fourier Transform Explain convergence theorem of Fourier series expansion.
Class 10 Fourier transform 2: Properties of Fourier Transform Sampling Theorem: Bandlimitted Signals Explain the difference between discrete and continuous spectra
Class 11 Impulse and Frequency Resposes of Linear Time-Invariant System Explain the impulse response and the convolution integral.
Class 12 Laplace transform1: Definition of Laplace transform and inverse Laplace transform Find the Laplace transoform of given functions.
Class 13 Laplace transform 2: Properties of Laplace transform Explain the properties of the Laplace transform and show the proof of them.
Class 14 Laplace transform 3: Solving functional equations using the Laplace transform Explain how to apply Laplace transform to differential equation and integral equation.

### Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend a certain length of time outside of class on preparation and review (including for assignments), as specified by the Tokyo Institute of Technology Rules on Undergraduate Learning (東京工業大学学修規程) and the Tokyo Institute of Technology Rules on Graduate Learning (東京工業大学大学院学修規程), for each class.
They should do so by referring to textbooks and other course material.

### Textbook(s)

M. Sakawa, Ouyou kaisekigaku no kiso, Morikita Publishing, 2014 (in Japanese).

### Reference books, course materials, etc.

Lecture materials will be given if necessary.

### Assessment criteria and methods

Learning achievement is evaluated based on a terminal exam(9) and quizzes(1). The numbers indicate approximate weights for the evaluation.

### Related courses

• LAS.M102 ： Linear Algebra I / Recitation
• LAS.M101 ： Calculus I / Recitation
• ICT.C201 ： Introduction to Information and Communications Engineering
• ICT.S210 ： Digital Signal Processing
• ICT.I207 ： Linear Circuits
• ICT.S302 ： Functional Analysis and Inverse Problems
• ICT.S307 ： Statistical Signal Processing
• ICT.C214 ： Communication Systems

### Prerequisites (i.e., required knowledge, skills, courses, etc.)

As a general rule, we accept only applications from students in the department of Information and communications Engineering