Course title
信号処理   [Signal Processing]
Course category technology speciality courses,ets.  Requirement   Credit 2 
Department   Year 34  Semester 1st 
Course type 1st  Course code 023733
Instructor(s)
清水 昭伸   [SHIMIZU Akinobu]
Facility affiliation Faculty of Engineering Office afjgxte/L1151  Email address

Course description
This class aims to study fundamentals of digital signal processing. Topics includes Fourier transform, auto and cross correlation functions, digital filters and their applications.
Expected Learning
Students are expected to understand a concept of digital signal processing and solve small-scale problems of above topics.
Course schedule
1.Foundations of Digital Fourier transform (DFT)
2.Fast Fourier transform (FFT)
3.DFT and FFT for high dimensional signals
4.Foundations of auto correlation functions
5.Relationship between auto correlation function and spectral
6.Foundations of cross correlation functions
7.Relationship between cross correlation function and spectral
8.Intermediate examination
9.Window functions
10. System response
11. Finite Impulse Response filter
12. Infinite Impulse Response filter
13. Adaptive filter and linear prediction model
14. Deep learning
15. Final examination
Prerequisites
Elemental maths (calculus and linear algebra)
Required Text(s) and Materials
References
Kobatake and Kan; CAI digital signal processing
Assessment/Grading
Mid-term exam: 40-45%
End-of-term exam: 40-45%
Contribution to course: 10-20%
Message from instructor(s)
Course keywords
Office hours
On appointment
Remarks 1
Remarks 2
Related URL
Lecture Language
Japanese
Language Subject
Last update
2/25/2020 8:14:32 AM