Course title
F01724003
Digital Signal Processing

SUGA Norisato
Course description
The real-time proceedings and the algorithms have become more and more important. A digital filter is an important technique to raise frequency resolving accuracy. The base of digital signal processing is lectured.
Purpose of class
The technical elements are commented on to understand that digital signal proceedings are introduced to the many fields.
This aim is acquire of sampling theorem, some transform operations, filter processing, impulse response, frequency characteristic, FFT and correlation.
Goals and objectives
  1. Students will be able to explain and operate z-transform
  2. They will be able to explain and operate frequency analysis
  3. They will be able to explain digital filter
  4. They will be able to explain correlation processing
Language
Japanese
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Overview of the digital signal processing
Signal and property
Z transform
- Z transform and Laplace transform
- Characteristics
Preparation of chapter 2 and 3 of the textbook
Preparation of chapter 4 of the textbook
190minutes
2. Z transform
- Z transform and inverse transform
- Impulse response and FIR filter
- Practice
Preparation of chapter 4 and 6 of the textbook 190minutes
3. Discrete Fourier transform
- Property, elucidation, problems
Discrete time system
- Sampling theorem
- Impulse response and frequency response function
Preparation of chapter 5 of the textbook 190minutes
4. Discrete-time systems
- Impulse response
- Convolutional integration
- Digital filters
Preparation of chapter 6.1 - 6.6 of the textbook 190minutes
5. Frequency and phase characteristic
- Frequency characteristic
- Phase characteristic
- Pole and zero
- Stability
Preparation of chapter 3.5, 6.8, 6.9 of the textbook 190minutes
6. Fast Furrier transform
- Method of split calculation
- Characteristics of window function
Preparation of chapter 7 of the textbook 190minutes
7. Examination
Explanation
Preparation of lecture 190minutes
8. Filter
- Summary
- An analog filter and comparison
- Design

Design of digital filter (3)
- Design of FIR filter
- Window method
Preparation of chapter 10 of the textbook 190minutes
9. Design of digital filter (1)
- IIR filter design
- Bilinear transform
Preparation of chapter 9 of the textbook 190minutes
10. Design of digital filter (2)
- FIR filter design
- Window method
Preparation of chapter 10 of the textbook 190minutes
11. Correlation function (1)
- An autocorrelation function and cross-correlation function
- Modeling and the coefficient decision method
Preparation of chapter 11 of the textbook 190minutes
12. Correlation function (2)
- An autocorrelation coefficient and cross-correlation coefficient
- Power spectrum and cross spectrum
Preparation of chapter 11 of the textbook 190minutes
13. Adaptive signal processing
- Steepest descent method
- LMS algorithm
- Normalized LMS algrothim
Preparation of chapter 12 of the textbook 190minutes
14. Examination
Explanation
Preparation of lecture 187minutes
Total. - - 2657minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

midterm examination term examination( report Total.
1. 15% 5% 14% 34%
2. 10% 0% 12% 22%
3. 0% 10% 12% 22%
4. 0% 10% 12% 22%
Total. 25% 25% 50% -
Evaluation method and criteria
The grade is judged by the midterm examination(25%), the term examination(25%), and small tests given in every lecture (50%).
The passing standard is over 60%.
The minimum score can be obtained if the student can explain the main terms in the textbook and has reached 80% understanding of exercises and quizzes in the lecture.
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Feedback in the class
Textbooks and reference materials
Textbook: Masahumi Ogiwara, Digital signal processing, Morikita Print.
Study aid: Ken'ichi Kido, Introduction of digital signal processing, Tohoku university print.
Prerequisites
Mathematics of information and communication 1, Transient Phenomena in Circuits or Laplace Transform
Office hours and How to contact professors for questions
  • After lecture
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
N/A
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
N/A
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Sat Sep 09 06:43:09 JST 2023