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達成目標 |
To learn about basic theories on linear time-invariant systems, and aim to understand discrete signal fundamentals and signal processing.
To acquire extensive hands-on programming experience in discrete signal processing with MATLAB.
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概要 |
This course provides students with the opportunity to gain
Fundamental concepts of signal processing,
Mathematics required for signal processing,
Fourier transforms and sampling theorems to time-frequency analysis,
MATLAB skills to analyze discrete systems and design digital filters. |
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評価の観点 |
Students are able to understand
Basic principles in modeling and analysis of linear time-invariant systems,
Applications of mathematical methods and tools to different signal processing problems,
Programming skills of analysis and design of digital filters in MATLAB. |
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評価基準 |
Homework/quiz/lab (40%), Term project(20%), Midterm exam (15%), Final exam (25%) |
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評価方法 |
Routine homework, labs, quizzes, mid-term exam, and final exam |
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教科書 |
Lecture notes will be uploaded before each lecture. |
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参考書 |
Linear System Theory and Design 4th Edition, Chi-Tsong Chen, Oxford University Press, 2013.
Discrete-Time Signal Processing 3rd Edition, Alan V. Oppenheim and Ronald W. Schafer, Pearson New International Ed., 2013.
MATLAB Tutorial |
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関連項目 |
I212 Analysis for Information Science
I114 Fundamental Mathematics for Information Science |
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履修条件 |
None |
準備学修等の具体的な指示
本学では、15時間の授業
を含む45時間の学修をもって
1単位とすることを踏まえて、
準備学修に取り組むこと。 |
Students need a solid background in calculus and linear algebra.
Experience with MATLAB is desirable, but not necessary.
Students are expected to read related text chapters and review previous notes before coming to that day’s class or tutorial hour. |
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獲得可能な能力・性質 |
・Social competencies: broad interests, logical thinking, leadership, excellent communication, diversity mindset, broad perspective, initiative and perseverance
・Creative abilities: ambition for expertise and skills, ideation, planning skills, expressiveness
・Practical abilities: information gathering, insight into future or potential needs, exploratory propulsion, openness to criticism or feedback, problem definition |
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講義アーカイブ |
What to record：All lectures and tutorial hours
How to broadcast：Limited（use of key phrase or require advance registration of learner） |
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講義計画 |
1. Introduction to Linear Systems with Applications to Signal Processing
2. State Space Description, MATLAB Basics I
3. Linear Algebra, MATLAB Basics II
4. Quantitative Analysis (State Space Solutions) and Qualitative Analysis (Stability)
5. Discrete-time Signals and Systems
6. Discrete-time Fourier Analysis
7. Review of Discrete-time Linear Time-Invariant Signals and Systems
8. Sampling and Reconstruction of Analog Signals
9. z-Transform
10. Discrete Fourier Transform
11. Fast Fourier Transform, Short-term Fourier Transform, Wavelet Transform
12. Implementation of Digital Filters
13. Digital Signal Processors and Design of Digital Filters
14. Review of the Course and Term Project Evaluation |
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曜日/時限 |
2の2期（月・2）／2の2期（金・1） |