2025 (Current Year) Faculty Courses School of Engineering Undergraduate major in Information and Communications Engineering
Signal and System Analysis
- Academic unit or major
- Undergraduate major in Information and Communications Engineering
- Instructor(s)
- Isao Yamada / Konstantinos Slavakis
- Class Format
- Lecture/Exercise (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 3-4 Tue / 1-4 Fri
- Class
- -
- Course Code
- ICT.S206
- Number of credits
- 210
- Course offered
- 2025
- Offered quarter
- 2Q
- Syllabus updated
- Mar 19, 2025
- Language
- Japanese
Syllabus
Course overview and goals
In the broad range of the information and communications engineering, signal analysis has been a powerful mathematical toolbox for understanding the behaviors of signals and systems through alternative expressions, such 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.
Course description and aims
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, Taylor series expansion, Laurent 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
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Invitation to Signal and System Analysis: Eigen functions of Linear Systems | Explain eigenfunctions 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 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 the relation between Taylor series expansion and Laurent series expansion. |
| Class 6 | Cauchy's residue theorem and its application to definite integral | Explain Cauchy's residue theorem and how this theorem can be applied to definite integrals. |
| Class 7 | Supplementary Lecture on Complex Analysis | Explain the elements of the complex analysis. |
| Class 8 | Fourier series 1: Definition and properties of Fourier series Fourier series 2: Convergence of Fourier series | Explain the Fourier-series expansion and their convergence properties. |
| Class 9 | Fourier transform1 : Definition and convergence of Fourier Transform | Explain the properties of the Fourier transform. |
| Class 10 | Fourier transform 2: Properties of Fourier Transform | 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 | Compute the Laplace transform of several functions. |
| Class 13 | Laplace transform 2: Solving functional equations using the Laplace transform | Explain how to apply Laplace transform to solve differential and integral equations. |
| Class 14 | Sampling Theorem: Bandlimitted Signals | Explain the sampling theorem. |
Study advice (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.
Evaluation methods and criteria
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
As a general rule, we accept only applications from students in the department of Information and communications Engineering