Course title
G07059003
Signal Processing

KANOH Shinichiro
Course description
Digital signal processing is the fundamental technology to support such as image and voice processing, communications, measurement, control and mechatronics.
It refers to converting the discrete values of binary code obtained by sampling the analog signal, and numeric operations on a computer or dedicated processor.
It refers to the numeric operations using binary code on a computer or dedicated processor. Binary code is the discrete values obtained by sampling the analog signal.
In this lecture, for beginners, learn the basic arithmetic processing required for the digital signal processing.
Learn about the product-sum operation processings of DFT (Discrete Fourier transform), FFT (Fast Fourier Transform) and Digital Filter.
The meeting ID for online (Zoom) is 973 7669 4188, and the URL is https://shibaura-it.zoom.us/j/97376694188 .
Purpose of class
Students will learn basic digital signal processing and acquire the knowledge necessary for designing signal processing circuits.
Goals and objectives
  1. Students can understand the basics of signal processing (corresponding to lesson plans 1 to 7).
  2. Students can understand the physical meaning of the Fourier transform and its application to various processes (corresponding to lesson plans 8-11).
  3. Students can design FIR and IIR digital filters (corresponding to lesson plans 12-15).
Language
Japanese
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Guidance
Chapter 1 Overview of Digital Signal Processing
1.1 Classification and Form of Signal
1.2 What's Digital Signal Processing
1.3 Binary Digital Code
Chapter 2 Continuous-Time Signal and Fourier Transform
2.1 Periodic Signal and Fourier Series
2.2 Complex Fourier Series
2.3 Fourier Transform
【Preliminary】 Read chapters 1 and 2 of the textbook 60minutes
【Review】 Answer the exercises in chapter 2 of the textbook (especially those specified during class). 120minutes
2. Chapter 3 Continuous-Time System
3.1 Linear Time-Invariant Systems and Impulse Response
3.2 Convolution Integral
3.3 Laplace Transform and Transfer Function
3.4 Property and Application of Laplace Transform
3.5 System Function and Frequency Characteristics
【Preliminary】 Read chapters 3 of the textbook. 60minutes
【Review】 Answer the exercises in chapter 3 of the textbook (especially those specified during class). 120minutes
3. Sampling of Chapter 4 Continuous Time Signal (1)
4.1 Sample Value Signal
4.2 Sampling Theorem
【Preliminary】 Read chapters 4 (4.1-4.2) of the textbookcompletion. 60minutes
【Review】 Answer the exercises in chapter 4 of the textbook (especially those specified during class). 120minutes
4. 4.4 Aliasing
Report Challenges (1/2)
【Preliminary】 Read chapters 4 (4.3) of the textbook. 60minutes
【Review】 Answer the exercises in chapter 4 of the textbook (especially those specified during class). 120minutes
5. Chapter 5 Discrete-Time Signal and Z-transform
5.1 Discrete-Time Signal
5.2 Z-transform
5.3 Property of Z-transform
5.4 Inverse Z-transform
【Preliminary】 Read chapters 5 of the textbook. 60minutes
【Review】 Answer the exercises in chapter 5 of the textbook (especially those specified during class). 120minutes
6. Summary and Midterm Examination Study for Examination completion. 300minutes
7. Chapter 6 Discrete-Time System (1)
6.1 Linear Time-Invariant Systems and Impulse Response
6.2 Discrete Convolution
6.3 Transfer Function and Difference Equation
6.4 Discrete-Time System Configuration
【Preliminary】 Read chapters 6 (6.1-6.4) of the textbook. 60minutes
【Review】 Answer the exercises in chapter 6 of the textbook (especially those specified during class). 120minutes
8. Chapter 6 Discrete-Time System (2)
6.5 System Function and Frequency Characteristics
Chapter 7 Discrete Fourier Transform (DFT) (1)
7.1 What's Discrete Fourier Transform?
【Preliminary】 Read chapters 6 (6.5) chapter 7 (7.1) of the textbook. 60minutes
【Review】 Answer the exercises in chapter 6 of the textbook (especially those specified during class). 120minutes
9. Chapter 7 Discrete Fourier Transform (DFT) (2)
7.2 Discrete-Time Fourier Transform
7.3 Property of Discrete-Time Fourier Transform Formula
7.4 Property of Discrete Fourier Transform
【Preliminary】 Read chapters 7 (7.2-7.4) of the textbook. 60minutes
【Review】 Answer the exercises in chapter 7 of the textbook (especially those specified during class). 120minutes
10. Chapter 8 Fast Fourier Transform (FFT)
8.1 Principle of Fast Fourier Transform
8.2 Decimation-in-Frequency FFT and Decimation-in-Time FFT
8.3 FFT and Window Function
8.4 FFT Program
【Preliminary】 Read chapters 8 of the textbook. 60minutes
【Review】 Answer the exercises in chapter 8 of the textbook (especially those specified during class). 120minutes
11. Chapter 9 FIR Digital Filter Design (1)
9.1 What's Digital Filter?
9.2 Type of Digital Filter
9.3 Frequency Characteristics of Linear Phase FIR Filter
【Preliminary】 Read chapters 9 (9.1-9.3) of the textbook. 60minutes
【Review】 Answer the exercises in chapter 9 of the textbook (especially those specified during class). 120minutes
12. Chapter 9 FIR Digital Filter Design (2)
9.4 Design of FIR Filter
Report Challenges (2/2)
【Preliminary】 Read chapters 9 (9.4) of the textbook. 60minutes
【Review】 Answer the exercises in chapter 9 of the textbook (especially those specified during class). 120minutes
13. Chapter 10 IIR Digital Filter Design
10.1 Transfer Function of Analog Filter
10.2 Bilinear Transformation Method
10.3 Design Example of Digital Filter
10.4 Frequency Conversion
【Preliminary】 Read chapters 10 of the textbook. 60minutes
【Review】 Answer the exercises in chapter 10 of the textbook (especially those specified during class). 120minutes
14. Summary and Final Examination Study for Examination 300minutes
Total. - - 2760minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Midterm Examination Final Examination Report Total.
1. 20% 5% 5% 30%
2. 20% 10% 5% 35%
3. 25% 10% 35%
Total. 40% 40% 20% -
Evaluation method and criteria
Examination 1: 40%
Examination 2: 40%
Homework and Report: 20%
Overall score should not be less than 60/100 points. The total score of 60 is a level that evaluates that you have acquired the knowledge necessary to understand the algorithms of basic software that realizes digital signal processing and to acquire more specialized knowledge.
Textbooks and reference materials
Text:Digital Signal Processing (Shigenori Ohrui) (ISBN:978-4-89019-217-5)
Prerequisites
Review Fourier Series Theory.
Office hours and How to contact professors for questions
  • During or after each class at classroom. E-mail can be used to ask questions..
  • Office hour: 12:30-13:20 on every Friday at Room 09B25 in Toyosu Campus. Contact me before coming to office
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Applicable Experiences of joint research and development with companies will be applied.
Education related SDGs:the Sustainable Development Goals
  • 9.INDUSTRY, INNOVATION AND INFRASTRUCTURE
Last modified : Fri Mar 18 23:55:36 JST 2022