ディジタル信号処理工学

科目基礎情報

学校 熊本高等専門学校 開講年度 令和04年度 (2022年度)
授業科目 ディジタル信号処理工学
科目番号 AE1207 科目区分 専門 / 選択
授業形態 授業 単位の種別と単位数 学修単位: 2
開設学科 電子情報システム工学専攻 対象学年 専2
開設期 後期 週時間数 2
教科書/教材 DISCRETE-TIME SIGNAL PROCESSING 3/e (Alan V. Oppenheim, Prentice Hall Signal Processing)
担当教員 嶋田 泰幸

到達目標

The scope of work is as follows:
・Theory to be covered:
a) Basic digital filtering theory (FIR, IIR) and digital filter design.
b) Basic adaptive filtering theory
c) Up sampling, Down sampling
・Hands-on section
a) Design and Implementation of FIR and IIR digital filter
b) Design and Implementation of Adaptive digital filter
c) Design of UP/Down sampling filters

ルーブリック

Ideal LevelStandard LevelUnacceptable Level
Achievement 1Can design/implement an effective FIR/IIR filter.Can design simple FIR/IIR filters.Need to study how to design simple FIR/IIR filters
Achievement 2Can design/implement an adaptive digital filter for noise cancellation.Can design adaptive digital filters..Need to study how to design adaptive digital filters
Achievement 3Can design up sampling/down sampling systemsCan explain what up sampling/down sampling systems are.Need to study how up sampling/down sampling systems work.

学科の到達目標項目との関係

教育方法等

概要:
Digital Signal Processing (DSP) is very popular to model or represent the state or behaviour of a physical systems. The objective of this course is to provide a basic introduction to the theory of DSP.
授業の進め方・方法:
This course is conducted in English and all participants are allow to use English during classes. Participants will be requested to design digital filters as necessary, and they have to bring own PC to do simulation.
注意点:
Students are to do self-study for at least 30 hours per 1 credit.

授業の属性・履修上の区分

アクティブラーニング
ICT 利用
遠隔授業対応
実務経験のある教員による授業

授業計画

授業内容 週ごとの到達目標
後期
3rdQ
1週 Fundamentals of Digital Signal Processing(1) Students will be able to understand basics of Digital Signal Processing,ADC (Quantisation and sampling; Aliasing; Anti-aliasing)
2週 Fundamentals of Digital Signal Processing(2) Same as above.
3週 Difference equations and Z transforms(1) Students will be able to understand Z transform.
4週 Difference equations and Z transforms(2) Same as above
5週 System model and its representation(1) Students will be able to understand how to model systems in differential equation and Z transform.
6週 System model and its representation(2) Same as above
7週 Fundamentals of Digital Filtering – FIR Filter Students will be able to understand basic FIR filter and design simple FIR filters.
8週 Designing FIR Digital Filter Students will be able to design FIR filters
4thQ
9週 Fundamentals of Digital Filtering – IIR Filter Students will be able to understand basic FIR filter and design simple IIR filters.
10週 Designing IIR Digital Filter Students will be able to design IIR filters
11週 Fundamentals of Adaptive Filtering(1) Implement adaptive digital filter which cancels noise.
12週 Fundamentals of Adaptive Filtering(2) Same as above
13週 Up sampling and Down sampling Students will be able to understand upsampling and downsampling.
14週 Sub-band filtering Students will be able to design filter banks.
15週 Summery and feedback
16週

モデルコアカリキュラムの学習内容と到達目標

分類分野学習内容学習内容の到達目標到達レベル授業週

評価割合

ExaminationReport合計
総合評価割合0100100
基礎的能力000
専門的能力0100100
分野横断的能力000