2025 (Current Year) Faculty Courses School of Engineering Undergraduate major in Electrical and Electronic Engineering
Discrete-Time System
- Academic unit or major
- Undergraduate major in Electrical and Electronic Engineering
- Instructor(s)
- Kei Sakaguchi
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 3-4 Mon (WL1-301（レクチャーシアター）)
- Class
- -
- Course Code
- EEE.M241
- Number of credits
- 100
- Course offered
- 2025
- Offered quarter
- 4Q
- Syllabus updated
- Nov 11, 2025
- Language
- Japanese
Syllabus
Course overview and goals
In discrete time system such as digital signal processing, z-transform is essensial to understand a system behavior and analysis; same as contenious system's Laplace transform. The z-transform is widely apply to the linear time invarient systems. The lecture topics are, discrete time signal and systems, z-transforme and inverse z-transform, z-transforme property, transmission function and frequency response, FIR and IIR filters, s-z transform and system stability.
The aim of this course is to understand z-transform to analize time discrete systems. In linear time invarient systems, time domain and frequency domain basic comprehension will be accomplished.
Course description and aims
This course will give students understanding time domain and frequency domain responses of time discrete systems. For analytical method, z-transform is essential and basic mathematics.
Keywords
differential equation, linear time invarient system, convolution, z-transform, inverse z-transform, transmission function, frequency response, FIR filter, IIR filter, s-z transform, digital filter, digital signal processing, system stability
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
- ・Fundamental specialist skills on EEE
Class flow
At the end of class, students are given exercise problems related to the lecture given that day to solve. To prepare for class, students should read the course schedule section and check what topics will be covered. Required learning should be completed outside of the classroom for preparation and review purposes.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Overview of discrete time system |
Differential equation for discretetime systems |
| Class 2 | Impulse response and convolution |
Linear time invarient system and output signal by convolusion |
| Class 3 | z-transform and invers z-transform |
Function of z-transform and invers z-transform |
| Class 4 | Transfer function and stability |
Stable pole placement in z-plain |
| Class 5 | Transfer function and frequency response |
Output signal obtained form transfer function and frequency response |
| Class 6 | Design of FIR filter |
FIR filter design |
| Class 7 | Design of IIR filter |
IIR filter design using s-z transform |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Ohta, Masaya. Introduction to Digital Signal Processing. Tokyo: Corona Publishing; ISBNISBN978-4-339-00857-9. (Japanese)
Reference books, course materials, etc.
Oishi, Kunio. Introduction to Digital Signal Processing with C Programming Language. Tokyo: Corona Publishing; ISBN978-4-339-00847-0. (Japanese)
Higuchi, Kawamata. Digital Signal Processing (2nd ed.). Tokyo: Morikita Publishing; ISBN978-4-627-79212-8. (Japanese)
Evaluation methods and criteria
Students' knowledge of difference equation for discrete time system, z-transform and their ability to apply them to problems will be assessed. Final exams 50%, exercise problems 50% will be standard for evaluation.
Related courses
- EEE.M211 ： Fourier Transform and Laplace Transform
- EEE.C311 ： Advanced Electronic Circuits
- EEE.C321 ： Digital Electronic Circuits
Prerequisites
Students must have successfully completed Fourie Transform and Laplace Transform (EEE.M211) or have equivalent knowledge.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
Kei Sakaguchi, sakaguchi.k.59c0[at]m.isct.ac.jp
Office hours
Contact by e-mail in advance to schedule an appointment.