Digital Signal Processing

Course Information

College	Anan College	Year	2024
Course Title	Digital Signal Processing
Course Code	1794401	Course Category	Specialized / Elective
Class Format	Lecture	Credits	Academic Credit: 2
Department	Course of Information Engineering	Student Grade	4th
Term	First Semester	Classes per Week	前期:2
Textbook and/or Teaching Materials	Kiso kara wakaru singou syori kougi noto (ohmsha)
Instructor	Fukumi Junji

Course Objectives

1.Able to understand and explain what digital signal processing is.
2.Able to understand and explain the basic principles of Fourier series and Fourier transform for continuous-time signals.
3.Able to understand and explain the basic principles of Fourier transform (including FFT) for discrete-time signals.
4.Able to understand and explain the basic principles of digital filters.

Rubric

	Ideal Level	Standard Level	Minimum Level
Achievement 1	Able to explain what digital signal processing is with specific examples, and also explain various techniques.	Able to understand what digital signal processing is and explain typical techniques.	Able to explain what digital signal processing is.
Achievement 2	Able to explain the basic principles and techniques of Fourier series and Fourier transform for continuous-time signals, and to perform processing on real signals by oneself using a PC, etc.	Able to explain the basic principles and techniques of Fourier series and Fourier transform for continuous-time signals.	Able to explain the basics of Fourier series and Fourier transform for continuous-time signals.
Achievement 3	Able to explain the basic principles and techniques of the Fourier transform for discrete-time signals, and to perform processing on real signals by oneself using a PC or other means.	Able to explain the basic principles and techniques of the Fourier transform for discrete-time signals.	Able to explain the basics of the Fourier transform for discrete-time signals.
Achievement 3	Able to explain the basic principles and techniques of digital filters, and perform processing on real signals using a PC or other means.	Able to explain the basic principles and techniques of digital filters.	Able to explain the basics of digital filters.

Assigned Department Objectives

学習・教育到達度目標 D-1 （設計・システム系，情報・論理系，材料・バイオ系，力学系を含む工学の基礎となる学問分野について，自主的かつ継続的に学習できる。）

Teaching Method

Outline:

The goal of this course is to provide students with basic knowledge of digital signal processing techniques used in various fields such as image and sound analysis and failure diagnosis, as well as knowledge and skills in various digital signal processing methods (FFT processing, digital filter processing, etc.).

Style:

After the lecture on digital signal processing technology, you will have time to solve exercises on your own to deepen your understanding of the subject. In addition, you will be required to submit an assignment report for each class, which you are expected to complete on your own. You will be required to submit a self-study report before and after the class.

Notice:

You will be required to submit several reports on the assignment, but please be sure to write them in your own words. We will not accept information from the Internet or reports easily copied or reproduced from other people's reports. Please be sure to meet the submission deadlines for assignment reports and self-study reports.

Course Plan

			Theme	Goals
1st Semester
	1st Quarter
		1st	Digital signal processing	Able to understand and explain the difference between analog and digital signals. Able to understand A/D conversion and D/A conversion, and explain their processing processes.
		2nd	Real Fourier series of continuous-time signals	Able to understand and explain real Fourier series for continuous-time signals.
		3rd	Complex Fourier series of continuous-time signals	Able to understand and explain complex Fourier transforms for continuous-time signals.
		4th	Exercises on Fourier Transform	Able to solve computational problems related to the Fourier Transform.
		5th	Properties of Fourier Transform	Able to understand and explain the basic properties of the Fourier transform.
		6th	Properties of Fourier Transform	Able to solve computational problems related to the Fourier Transform.
		7th	Sampling Theorem and A/D Conversion	Able to understand and explain the sampling theorem and A/D conversion.
		8th	Midterm examination
	2nd Quarter
		9th	D/A conversion	Able to understand and explain D/A conversion.
		10th	Fourier transform of a discrete-time signal	Able to understand and explain complex Fourier transforms for discrete-time signals.
		11th	Discrete Fourier Transform	Able to understand and explain the Discrete Fourier Transform.
		12th	Exercises on Discrete Fourier Transform	Able to solve computational problems related to the Discrete Fourier Transform.
		13th	FFT (Fast Fourier Transform)	Able to understand and explain the calculation principle of FFT (Fast Fourier Transform).
		14th	Digital filters	Able to understand and explain the fundamentals of digital filters.
		15th	Digital filters	Able to understand and explain FIR and IIR filters.
		16th	Return of final exam papers

Evaluation Method and Weight (%)

	midterm/final exam	quiz	portfolio	presentation/attitude	other	Total
Subtotal	70	0	30	0	0	100
Basic Proficiency	20	0	10	0	0	30
Specialized Proficiency	50	0	20	0	0	70
Cross Area Proficiency	0	0	0	0	0	0