Course Objectives
Learning Purposes :
Digital signal processing (DSP) is widely used for communication, information processing, control, medical electronics and so on. In this lecture, learn a basic theory of DSP and how to program the basic idea.
Course objectives :
◎Understand essential terms on signal processing which a information technology expert should know.
1. Learn Fourier series, Discrete Fourier transform and z-transform and analysis of fundamental periodical function.
2. Learn relationship between parameters of 2nd order system and its transfer function.
Rubric
| Excellent | Good | Acceptable | Not acceptable |
Achievement 1 | The student can
concretely explain and apply function analysis using Fourier series and Fourier Transform. | The student can
explain function analysis using Fourier series and Fourier Transform. | The student can explain function analysis using Fourier series and Fourier Transform. | The student can not explain function analysis using Fourier series and Fourier Transform. |
Achievement 2 | The student can
concretely explain and apply function analysis using z-transform. | The student can
explain function analysis using z-transform. | The student can explain function analysis using z-transform. | The student can not explain function analysis using z-transform. |
Achievement 3 | The student can concretely explain and apply 2nd order transfer function. | The student can concretely explain 2nd order transfer function. | The student can explain 2nd order transfer function. | The student can not explain 2nd order transfer function. |
Assigned Department Objectives
Teaching Method
Outline:
General or Specialized : Specialized
Field of learning : Information theory, Control
Foundational academic disciplines : Engineering/Electric and Electronic Engineering/System Engineering
Relationship with Educational Objectives :
This class is equivalent to "(2) Acquire knowledge in specializedtechnical fields related to electricity / electronics and information / control, and acquire the ability to utilize it for the design, manufacture, and operation of machines and systems".
Relationship with JABEE programs :
The main goal of learning / education in this class is "B".
Course outline :
Study the basic theory on digital signal processing and learn a technique to construct the algorithm on a DSP device.
Style:
Course method :
Lectures are given using presentation slides. Exercises are also given to confirm students' understanding.
Grade evaluation method :
Examination : 75 % (final examination), Exercise: 25 %
For students score less than 60 points at the end of the last semester, a retaking exam will be given with advance instructions if attendance and class attitude are good. The maximum points after the retaking exam is 60 points.
Notice:
Precautions on the enrollment :
This is a class that requires study outside of class hours. A total of 45 hours of study is required per credit, including both class time and study outside class time. Exercises for homework are given and the score is used for 25% of total score.
Course advice :
Preparatory study using the reference book and a manual of "octave" or "matlab" is recommended. This lecture deepen theories of digital signal processing, in which the students learned in Control Engineering (4C), Communication Engineering (4E) and Digital Signal Processing (5C) and conducts signal processing using real data.
Foundational subjects :
Differential and Integral I (2 year),Differential and Integral II (3), Applied Mathematics II (4E, 4C), Electrical Circuits System (4C), Control Engineering (4C), Communication Engineering (4E),Digital Signal Processing (5C).
Related subjects :
Advanced Control Engineering (EC2)
Attendance advice :
This class uses fundamental knowledge of mathematical analysis.
Characteristics of Class / Division in Learning
Course Plan
|
|
|
Theme |
Goals |
2nd Semester |
3rd Quarter |
1st |
Guidance / Introduction to digital signal processing |
|
2nd |
Fourier series (1) |
|
3rd |
Fourier series (2) |
|
4th |
Exercise on Fourier series |
|
5th |
Fourier transform (1) |
|
6th |
Fourier transform (2) |
|
7th |
Exercise on Fourier transform and inverse Fourier transform |
|
8th |
Sampling theorem |
|
4th Quarter |
9th |
Discrete Fourier transform (1) |
|
10th |
Discrete Fourier transform (2) |
|
11th |
Exercise on Discrete Fourier transform |
|
12th |
z-transform (1) |
|
13th |
z-transform (2) |
|
14th |
Linear time Invariant System |
|
15th |
Examination |
|
16th |
Returning and commentary on the examination |
|
Evaluation Method and Weight (%)
| Examination | Exercise | Total |
Subtotal | 75 | 25 | 100 |
Basic Proficiency | 0 | 0 | 0 |
Specialized Proficiency | 75 | 25 | 100 |
Cross Area Proficiency | 0 | 0 | 0 |