▶Japanese
Post to SNS
- Home
- > School of Engineering
- > Undergraduate major in Information and Communications Engineering
- > Statistical Signal Processing
- School of Science
-
School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Information and Communications Engineering
- Instructor(s)
- Yamaguchi Masahiro Obi Takashi
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Tue1-2(S621) Fri1-2(S621)
- Group
- -
- Course number
- ICT.S307
- Credits
- 2
- Academic year
- 2018
- Offered quarter
- 2Q
- Syllabus updated
- 2018/4/6
- Lecture notes updated
- 2018/8/6
- Language used
- Japanese
- Access Index
-
Lecture
Lecture 1 Statistics in signal processing
2018.6.12(Tue.) 1-2Session
Lecture
Lecture 2 Multivariate probability distribution, random vectors, multidimensional normal distribution
2018.6.15(Fri.) 1-2Session
Lecture
Lecture 3 Estimation of unknown quantities, maximum likelihood estimate
2018.6.19(Tue.) 1-2Session
Lecture
Lecture 4 Linear inverse problem and least square method
2018.6.22(Fri.) 1-2Session
Lecture
Lecture 5 Noise response
2018.6.26(Tue.) 1-2Session
Lecture
Lecture 6 Estimate using regularization
2018.6.29(Fri.) 1-2Session
Lecture
Lecture 7 Estimation in ill-conditioned system
2018.7.3(Tue.) 1-2Session
Midterm Examination
Lecture 8 Mid-term exam.
2018.7.6(Fri.) 1-2Session
Lecture
Lecture 9 Bayesian estimation
2018.7.10(Tue.) 1-2Session
Lecture
Lecture 10 Bayesian linear regression
2018.7.13(Fri.) 1-2Session
Lecture
Lecture 11 Wiener filter and estimation
2018.7.17(Tue.) 1-2Session
Lecture
Lecture 12 EM algorithm in linear system
2018.7.20(Fri.) 1-2Session
Lecture
Lecture 13 EM algorithm for multi multi-variables
2018.7.24(Tue.) 1-2Session
Lecture
Lecture 14
2018.7.27(Fri.) 1-2Session
Lecture
Lecture 15 Linear filter
2018.7.31(Tue.) 1-2Session
Supplementary Lecture
Lecture 16 Kalman filter for multi multi-variables
2018.8.3(Fri.) 1-2Session
End of Term Examination
Lecture 17 Final exam
2018.8.7(Tue.) 1-2Session
It is necessary for those who refer to the PDF file to use "Adobe Reader" as the plug-in software of Adobe System Company.
If you don't have the software, please download from this item (free).
