Course title
F01724003
Digital Signal Processing II

 muto kenji Click to show questionnaire result at 2018
Course description
The real time proceedings and the algorithms become more and more important. The Fast Fourier transform is the representative example. A digital filter is important technique to raise frequency resolving accuracy. In this lecture, the design method and the problems are commented on about various digital filters.
Purpose of class
A design technology and a property and the method of forming of the digital filter are commented on to be able to apply it in a wide range of fields. The technical element is commented on to understand that digital signal processing is introduced to the many fields.
Goals and objectives
  1. Students will be able to explain the resolution of the digital filter
  2. They will be able to desgin the digital filter
  3. They will be able to explain the resolution of correction functions
  4. They will be able to explain the constitution of processing in time and frequency domain
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 2
Signal and property
Z transform
- Z transform and Laplace transform
- Inverse transform
- Characteristics
- Practice 		Preparation of chapter 2 and 3 of the textbook
Preparation of chapter 5 of the textbook
Preparation of chapter 4 of the textbook 		190minutes
2. Discrete Fourier transform
- Property, elucidation, problems
Discrete time system
- Sampling theorem
- Impulse response and frequency response function 		Preparation of chapter 6 of the textbook 190minutes
3. Fast Furrier transform
- Method of split calculation
- Characteristics of window function 		Preparation of chapter 7 of the textbook 190minutes
4. Filter
- Summary
- An analog filter and comparison
- Kind of the filter 		Preparation of chapter 8 of the textbook 190minutes
5. Design of digital filter (1)
- Stability
- Design of IIR filter
- bilinear transform 		Preparation of chapter 9 of the textbook 190minutes
6. Design of digital filter (2)
- Practice of IIR filter
Constitution of IIR filter
- Direct type and transposition type 		Preparation of chapter 9 of the textbook 190minutes
7. Examination
Explanation 		Preparation of lecture 190minutes
8. Design of digital filter (3)
- Design of FIR filter
- Window method 		Preparation of chapter 10 of the textbook 190minutes
9. Design of digital filter (4)
- Practice of FIR filter
- FIR filter and impulse response 		Preparation of chapter 10 of the textbook 190minutes
10. Correlation function (1)
- An autocorrelation function and cross-correlation function
- Modeling and the coefficient decision method 		Preparation of chapter 11 of the textbook 190minutes
11. Correlation function (2)
- An autocorrelation coefficient and cross-correlation coefficient
- Power spectrum and cross spectrum 		Preparation of chapter 11 of the textbook 190minutes
12. Correlation function (3)
- A cross spectrum and frequency response function
- Correlative operation and convolution
- Practice 		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( Total.
1. 30% 0% 30%
2. 15% 15% 30%
3. 5% 25% 30%
4. 0% 10% 10%
Total. 50% 50% -
Evaluation method and criteria
Grade is judged by the midterm examination(50%), the term examination(50％). Passing standard is over 60%. Reports may be considered in some cases.
The minimum score can be obtained if the student can explain the main term in text book and has reached 80 % of exercise and quizzes in the lecture.
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, Digital signal processing 1
Office hours and How to contact professors for questions
  • After lecture
Relation to the environment
Non-environment-related course
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 applicatable
N/A N/A
Last modified : Wed Oct 16 04:06:16 JST 2019