Advanced Digital Signal Processing
高等數位訊號處理
授課者:丁建均
上課時間:星期五早上 9:10~12:00 (9:10~10:00, 10:10~11:00, 11:10~12:00)
上課地點:明達 205 上課資料:講義 (請大家在每週上課前,來這個網頁把上課講義列印好)
丁老師聯絡方式 E-mail: jjding@ntu.edu.tw
繳交程式電子檔 E-mail: displab531@gmail.com
Office: 明達館723室, TEL: 33669652,
網頁:http://disp.ee.ntu.edu.tw/index.php
Office hour: 我週一、三、四、五的下午都有空,歡迎同學們隨時來找我
助教:陳韋廷,盧宜尚,許軒瑋,蔡昌廷
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上課資料專區
02月26日上課資料 ........PDF Version........上課筆記檔1 (page 1~15).
03月05日上課資料 ........PDF Version
公告:(1) 上課影片可以由 NTU Cool 下載
(2) 上課問答題目就在影片中,學號尾數不同的要回答的問題也不同
上課問答的答案,請依學號寫在作業的最後面
(3) 作業和報告,可壓成一個 zip 檔後,藉由 ceiba 繳交
Tutorials 專區
(Part 1: Signal Processing Theories)
Non-Linear Time Variant System Analysis
Multiple-Input and Multiple-Output System Analysis
Independent Component Analysis
Singular Value Decomposition (SVD)
Golden-section Search and Fibonacci Search
Fuzzy Logic in Signal Processing
Signal Processing for Big Data
(Part 2: Filter Design)
Adaptive Filter Algorithm and Application
Recent Development of Filter Design
Image Enhancement, Denoising, and Rain Removal
Hamming and Hanning Filter (1)
(Part 3: Compression)
JPEG for Still Image Compression
Recent Development of Image Compression
Recent Development of Video Compression
JBIG and Binary Image Compression
Electrocardiogram Signal Compression
H.265 Video Compression Architecture
MP3 for Vocal Signal Compression
Learning Based Image Compression Techniques
(Part 4: Music and Speech)
Automatic Music Genre Classification
Speech Analysis by Mel-Cepstrum
Natural Language Processing and Speech Processing
Distance Estimation for Sound Source
(Part 5: Pattern Recognition)
Compressive Sensing for Pattern Recognition
Finger Tracking and Its Applications
(Part 6: Image Processing)
Sharpness Measurement for Images
Scaling Invariant Feature Transform (SIFT)
Speeded-up Robust Feature (SURF) Points
Image Segmentation Using Superpixels
Video Segmentation Using Supervoxels
Learning Based Superresolution
(Part 7: Fast Algorithm)
(Part 8: Communication)
Multiple Signal Classification (MUSIC)
(Part 9: Medical Signal Processing and Medical Image Processing)
DSP for Electrocardiography Analysis
Signal Processing for Electroencephalography
Dynamic Programming for Sequence Alignment
Assistive Technology for Color Blindness
Magnet Resonance Imaging and Analysis(1)
Magnet Resonance Imaging and Analysis(2)
Signal Processing for Healthcare
(Part 10: Other Applications of Digital Signal Processing)
3-D Accelerometer Signal Analysis
Doppler Ultrasound Signal Analysis
Signal Processing for Economical Data Analysis
Learning Based Prediction Techniques
評分方式:
平時分數: 15 scores
基本分12分,各位同學皆可拿到
另外再根據上課回答問題加分,回答一次加一分
Homework: 60 scores
(5 times, 每 3 週一次,第 3n+1 週出作業,第 3n+3 週交作業)
(請自己寫,和同學內容相同,將扣 70% 的分數,就算寫錯但好好寫也會給
40~95% 的分數,
遲交分數打 8 折,不交不給分。不知道如何寫,可用 E-mail 和我聯絡,或於上課時發問)
Term paper 25 scores
方式有四種
(1) 書面報告 (10頁以上(不含封面),中英文皆可,11或12的字體,題目可選擇和課程有關的任何一個主題
格式和一般寫期刊論文或碩博士論文相同,包括 abstract, conclusion, 及 references,
並且要分 sections,必要時有subsections。 References 的寫法, 可參照一般 IEEE
的論文的寫法 )
(2) Tutorial (和書面報告格式相同,但18頁以上,題目由老師指定,以清楚的介紹一個主題的基本概念和應用為要求,
選擇這個項目的同學,學期成績加
3 分)
(3) 口頭報告 (限四個人,每個人 30~45分鐘,題目可選擇和課程有關的任何一個主題,選擇這個項目的同學,學期成績加 2分)
(4) 編輯 Wikipedia (中文或英文網頁皆可,至少 2 個條目,但不可同一條目翻成中文和英文。限和課程相關者,自由發揮,
個人的貢獻加起來要 80 行以上,越有條理、有系統的越好)