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                   

繳交程式電子檔:  NTUCool    https://cool.ntu.edu.tw

Office 明達館723,    TEL 33669652,          

網頁:https://disp.ee.ntu.edu.tw/index.php 

Office hour 週一下午,週三上午,週四下午,週五下午都有空,歡迎同學們來找我

助教:曾子容,林政均,李沅罡,許宸睿,顏勁賢

上課資料專區                                 

02月21日上課資料 ........PDF..........上課筆記檔(1)(pages 1~85)

03月06日上課資料 ........PDF

03月13日上課資料 ........PDF...........Homework 1 (3月20日繳交)  ........PDF

03月20日上課資料 ........PDF..........上課筆記檔(2)(pages 86~180)  

03月27日上課資料 ........PDF..........上課筆記檔(3)(pages 181~271)

04月03日上課資料 ........PDF...........Homework 2 (4月10日繳交) ........PDF

04月10日上課資料 ........PDF

04月17日上課資料 ........PDF..........上課筆記檔(4)(pages 272~333)

05月01日上課資料........PDF ...........Homework 3 (5月8日繳交) ........PDF

05月08日上課資料 ........PDF ..........上課筆記檔(5)(pages 334~399)

05月15日上課資料 ........PDF ...........Homework 4 (5月29日繳交)  ........PDF

Note: Homework 4 第(4)題題目有修正

05月22日上課資料  ..........上課筆記檔(6)(pages 400~465)

06月05日上課資料 (new) ........PDF (new)...........上課筆記檔(7)(pages 466~534(new)

Homework 5 (6月19日繳交)(new)  ........PDF (new) 

 

口頭報告專區

(第一場) Gray Image Compression ...........報告投影片

(第二場) A Data Compression and Storage Optimization Framework for IoT Sensor Data in Cloud Storage...........報告投影片

(第三場) Large Audio Language Models ...........報告投影片

(第四場) Prompt Singer ...........報告投影片

(第五場) 生成式語音語言模型介紹 ...........報告投影片

(第六場) Enhancing Signal-to-Noise Ratio in THz Spectroscopy for Biomedical Applications ...........報告投影片

(第七場) Benchmarking Code-switching Abilities of Speech Foundation Models ...........報告投影片

(第八場) Personalization ...........報告投影片

(第九場) Indoor Millimeter-Wave Imaging Based on Sparsity Estimated Compressed Sensing and Calibrated Point Spread Function ...........報告投影片

(第十場) Analyzing the Impact of Adversarial Patterns on Neural Networks Using ADSP Techniques ...........報告投影片

 

 

公告:   

(1) 目前口頭報告,tutorials,程式編寫名額皆已滿

若要編輯維基百科,請先向老師登記並且告知要編輯的兩個條目

(2) 關於作業程式題,請注意 (i) 要交 *.m 或 *.py 檔

(ii) 一般題目的答案,和程式碼應該要分成兩個檔案交,不宜用壓縮檔,以方便助教批改

(3) 上課影片可以由 NTU Cool 下載

(4) 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

 

 

Tutorials 專區

(Part 1: Signal Processing Theories)

Non-Linear Time Variant System Analysis           

Structural Similarity    

碎形理論                                                             

Quaternion Algebra 

Nonuniform Sampling                 

低功耗SVD處理器設計                 

Compressive Sensing                                             

Mellin Transform        

Independent Component Analysis             

Singular Value Decomposition (SVD)       

Graph Signal Processing         

Graph Fourier Transform           

Golden-section Search and Fibonacci Search  

Quantum Signal Processing  

Fuzzy Logic in Signal Processing  

Signal Processing for Big Data  

Bargmann Transform  

Gaussian Mixture Model  

Hidden Markov Model  

Sparse Representation  

Low Rank Approximation  

Optimization for L0 Norm Problems  

Renyi Entropy  

Maximum Likelihood Estimation  

 

(Part 2: Filter Design)

Notch Filter                                                           

Weiner Filter

Adaptive Filter Algorithm and Application           

Bilateral Filter

Recent Development of Filter Design                   

Image Enhancement, Denoising, and Rain Removal  

Kalman Filter                

Particle Filter                       

Nonlinear Filter

Hamming and Hanning Filter

Hamming and Hanning Filter (1)

Guided Filter

Butterworth and Chebyshev Filters

Lattice Filter

Learning Based Filters

Phase Noise Estimation Technique

 

(Part 3: Compression)

JPEG for Still Image Compression                        

JPEG Decoder         

Image Compression                                              

Recent Development of Image Compression                                       

Video Compression          

Recent Development of Video Compression                                        

H.264 Basic Architecture                  

JPEG2000(1)                                                       

JPEG2000(2)            

Sound Signal Compression                                  

Music Signal Compression     

Text Compression                                                

Arithmetic Coding

JBIG and Binary Image Compression                  

Medical Image Compression                  

Lossless Image Compression    

Electrocardiogram Signal Compression  

H.265 Video Compression Architecture  

AV1 Video Coding  

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

Music Emotion Recognition(1)                            

Music Emotion Recognition(2)  

Query by Humming System(1)                            

Query by Humming System(2)       

Tone Analysis                                                      

Mel-Frequency Cepstrum  

Speaker Recognition  

Speech Emotion Recognition  

Blind Source Separation  

Natural Language Processing and Speech Processing  

Distance Estimation for Sound Source  

Echo Cancellation  

Bioacoustics  

Hearing Aid System  

Audio Event Detection  

Hearing-Aid Speech Quality Index (HASQI)  

Transformer Models for Audio Signal Analysis  

 

(Part 5: Pattern Recognition)

Support Vector Machine

Vector Quantization

Neural Network

Facial Expression Recognition                                       

Face Recognition   

Face Recognition(2016)    

Face Detection and Adaboost   

Occluded Face Recognition

Compressive Sensing for Pattern Recognition

Character Identification

Motion Recognition

Finger Tracking and Its Applications

Object Tracing for Videos

Vehicle Sensing and Tracking  

 

(Part 6: Image Quality Improvement)

Image Deblurring     

Image Denoising     

Image Dehazing     

Shadow Removal(1)    

Shadow Removal(2)    

Image Sharpness

Image Enhancement 

Haze Removal   

Rain Removal for Images   

Damaged Signal Recovery    

Sharpness Measurement for Images   

Image Quality Assessment   

 

(Part 7: Image Processing)           

Color Coordinate Transformation          

Light Field Camera   

半色調影像處理  

Saliency Map                     

Region of Interest Extraction       

Structural Similarity       

Scaling Invariant Feature Transform (SIFT)                  

Speeded-up Robust Feature (SURF) Points          

Edge Detection (1)     

Edge Detection (2)                                                

Holography                                                                   

Digital Watermarking       

Video Summarization     

Corner Detection   

Image Segmentation Using Superpixels                         

Video Segmentation Using Supervoxels   

Semantic Segmentation   

SAR Image Processing                                                  

Stereoscopic Image Processing         

Hyperspectral Image Analysis   

Satellite Image Processing   

Image Fusion     

Augmented Reality    

Super Resolution  

Learning Based Superresolution 

Image Stitching 

Image Registration 

Image Inpainting 

Topology 

Transformer Models for Image Processing 

 

(Part 8: Fast Algorithm)

Integer Cosine Transform                 

Fast Algorithm for DCT(1)                                  

Fast Algorithm for DCT(2)        

Winograd FFT Algorithm     

 

(Part 9: Integer Transform and Number Theoretic Transform)

Integer Transform    

Jacket Transform                                                  

Fermat and Mersenne Numbers         

Chinese Remainder Theorem    

Galois Fields    

 

(Part 10: Communication)

Multiple-Input and Multiple-Output System Analysis  

Modern OFDM Techniques    

CDMA          

Pseudo CDMA           

Recent Development of CDMA      

Multiple Signal Classification (MUSIC)  

Target Localization Technique  

Machine Learning in Wireless Communication  

Massive MIMO Systems (1)  

Massive MIMO Systems (2)  

Universal Filtered Multi-Carrier Techniques  

Beamforming  

 

(Part 11: Medical Signal Processing and Medical Image Processing)

EMG(肌電圖) Signal Analysis       

DSP for Electrocardiography Analysis    

Signal Processing for Electroencephalography  

DSP for DNA Sequence Analysis   

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      

Photoacoustic Imaging   

Photoplethysmography (PPG)   

 

(Part 12: Other Applications of Digital Signal Processing)

Cryptography(1)                                                   

Cryptography(2)       

Multimedia Security       

Advanced Multimedia Security Techniques       

3-D Accelerometer Signal Analysis  

Doppler Ultrasound Signal Analysis                     

Data Prediction           

Signal Processing for Economical Data Analysis                         

Learning Based Prediction Techniques                           

Financial Signal Processing  

Recent Advance in Fintech  

Remote Sensing Techniques  

Millimeter Wave Radar Systems  

Lidar  

 

 

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, 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)

(5) 編寫程式以協助建立程式資料庫(選擇二個和這門課相關的題目(不可以和歷年 Homework 重覆,不可太瑣碎),來編寫相關的程式,
                    程式用 Matlab 或 Python 編寫皆可,有意願者請向老師登記)