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- Academic unit or major
- Undergraduate major in Electrical and Electronic Engineering
- Instructor(s)
- Kurosawa Minoru
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Fri1-2(W541)
- Group
- -
- Course number
- EEE.M241
- Credits
- 1
- Academic year
- 2016
- Offered quarter
- 4Q
- Syllabus updated
- 2016/4/27
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
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Course description and aims
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.
Student learning outcomes
This course will give students understanding time domain and frequency domain responses of time discrete systems. For analytical method, z-transform is essensial 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 that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
At the beginning of each class, solutions to exercise problems that were assigned during the previous class are reviewed. Towards 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/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Discrete time system - Mathmatical description of discrete time signal and systems. | Differential equation for discretetime systems |
| Class 2 | Discrete time signal and response - Impulse response, linear time invarient system and convolusion | Linear time invarient system and output signal by convolusion |
| Class 3 | z-transform and invers z-transform - Linear, time shift and convolution in time domain | Function of z-transform and invers z-transform |
| Class 4 | Transmission function and frequency response - impulse response,differencial equation and transform function, frequency response | Output signal obtained form transmission function and frequency response |
| Class 5 | Transmission function of FIR circuit and IIR circuit - first and second low pass, high pass, band pass and band discrimination | Circuit stracture and transmission function |
| Class 6 | Filater circuit and response - FIR filter design and linear phase response | FIR filter design |
| Class 7 | s-z transform and filter design - Butterworse response, impulse invariance method, bilinear transform | IIR filter design using s-z transform |
| Class 8 | Stability of discrete time system - stable condition, zero poinl and pole | stable pole placement in z-plain |
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; ISBNISBN978-4-339-00847-0. (Japanese)
Higuchi, Kawamata. Digital Signal Processing. Tokyo: Morikita Publishing; ISBNISBN978-4-627-79211-1. (Japanese)
Assessment criteria and methods
Students' knowledge of z-transform and their ability to apply them to problems will be assessed.
Midterm and final exams 80%, exercise problems 20%.
Related courses
- EEE.M211 ： Fourier Transform and Laplace Transform
- EEE.C311 ： Advanced Electronic Circuits
- EEE.C321 ： Digital Electronic Circuits
Prerequisites (i.e., required knowledge, skills, courses, etc.)
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).
Minoru Kuribayashi Kurosawa, mkur[at]m.ieice.org, 045-924-5598
Office hours
Contact by e-mail in advance to schedule an appointment.
