Advanced Digital Signal Processing
高等數位訊號處理
授課者:丁建均
上課時間:星期三下午 3:30~6:20 (3:30~4:20, 4:30~5:20, 5:30~6:20)
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)
上課內容將錄影並放置於 NTU Cool https://cool.ntu.edu.tw
丁老師聯絡方式 E-mail: jjding@ntu.edu.tw
繳交作業以及程式電子檔: NTUCool https://cool.ntu.edu.tw
Office: 明達館723室, TEL: 33669652
網頁:https://disp.ee.ntu.edu.tw/index.php
Office hour: 我週一,週四,週五都有空,歡迎同學們來找我
助教:張融,謝杰勳, 陳冠宇, 鍾承達, 劉宥忻, 周世軒
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上課資料專區
02月25日上課資料 ........PDF..........上課筆記檔(1) (pages 1-21) (new)
03月04日上課資料 (new)........PDF (new)
Tutorials 專區
(Part 1: Signal Processing Theories)
Non-Linear Time Variant 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)
Butterworth and Chebyshev Filters
Phase Noise Estimation Technique
Learning-Based Signal Denoising
(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
Sparse Coding and Dictionary Learning
Learning Based Image Compression Techniques
Learning Based Video Compression
High Efficiency Video Coding (HEVC)
Karhunen-Loeve Transform (KLT)
(Part 4: Music and Speech)
Automatic Music Genre Classification
Speech Analysis by Mel-Cepstrum
Speech Recognition in Multi-Speaker Scenario
Natural Language Processing and Speech Processing
Mamba Model for Speech Analysis
Distance Estimation for Sound Source
Hearing-Aid Speech Quality Index (HASQI)
Transformer Models for Audio Signal Analysis
Transformer in Natural Language Processing
(Part 5: Optimization and Machine Learning)
Optimization for L0 Norm Problems
Alternating Direction Method of Multipliers (ADMM)
Mamba Model for Image Processing
(Part 6: Pattern Recognition)
Compressive Sensing for Pattern Recognition
Finger Tracking and Its Applications
(Part 7: Image Quality Improvement)
Sharpness Measurement for Images
Noise Estimation in Image Processing
(Part 8: Image Processing)
Color Coordinate Transformation
Scaling Invariant Feature Transform (SIFT)
Speeded-up Robust Feature (SURF) Points
Image Segmentation Using Superpixels
Video Segmentation Using Supervoxels
Snake Algorithm for Image Segmentation
Instance and Panoptic Segmentation
Application of Electrooculogram in Virtual Reality (VR)
Learning Based Superresolution
Transformer Models for Image Processing
(Part 9: Fast Algorithm)
(Part 10: Integer Transform and Number Theoretic Transform)
(Part 11: Communication)
Multiple-Input and Multiple-Output System Analysis
Multiple Signal Classification (MUSIC)
Machine Learning in Wireless Communication
Universal Filtered Multi-Carrier Techniques
(Part 12: 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 13: Other Applications of Digital Signal Processing)
Advanced Multimedia Security Techniques
3-D Accelerometer Signal Analysis
Doppler Ultrasound Signal Analysis
Signal Processing for Economical Data Analysis
Learning Based Prediction Techniques
Autoregressive Integrated Moving Average
Signal Processing Techniques in Metaverse
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(依學號,寫在作業上),答對一次加 0.8 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
方式有五種
(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 (限五個人,每個人 15~40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
,有意願者請向老師登記)