高等數位訊號處理

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 1~92)

03月05日上課資料 ........PDF Version

03月12日上課資料 ........PDF Version

03月19日上課資料 ........PDF Version

03月26日上課資料 .........PDF Version

Homwwork1 (3月26日交)........PDF Version........上課筆記檔2 (page 93~166)

04月09日上課資料.........PDF Version

04月16日上課資料 .........PDF Version ...............上課筆記檔3 (page 167~236)

Homwwork2 (4月23日交) ........PDF Version

04月23日上課資料 .........PDF Version

　

04月30日：口頭報告

Signal Processing Techniques Used in Deep Learning

Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks

From Conventional to End-to-end Automatic Speech Recognition

要記得參與口頭報告的投票 https://forms.gle/7Y63mvhyJB9oHisLA

　

05月07日上課資料 .........PDF Version...............上課筆記檔4 (page 237~261) (new)

05月14日上課資料 (new) .........PDF Version (new)

Homwwork3 (5月21日交) (new) ........PDF Version (new)

　

　

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

Structural Similarity

Multiple-Input and Multiple-Output System Analysis

Quaternion Algebra

Jacket Transform

Nonuniform Sampling

Fermat and Mersenne Numbers

低功耗SVD處理器設計

Chinese Remainder Theorem

Compressive Sensing

Mellin Transform

Independent Component Analysis

Singular Value Decomposition (SVD)

Graph Signal Processing

Golden-section Search and Fibonacci Search

Quantum Signal Processing

Sparse Representation

Fuzzy Logic in Signal Processing

Signal Processing for Big Data

　

(Part 2: Filter Design)

Adaptive Filter Algorithm and Application

Bilateral Filter

Recent Development of Filter Design

Image Enhancement, Denoising, and Rain Removal

Particle Filter

Nonlinear Filter

Hamming and Hanning Filter

Hamming and Hanning Filter (1)

　

(Part 3: Compression)

JPEG for Still Image Compression

Image Compression

Recent Development of Image Compression

Video Compression

Recent Development of Video Compression

H.264 Basic Architecture

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

MP3 for Vocal Signal Compression

Learning Based Image Compression Techniques

　

(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)

Mel-Frequency Cepstrum

Speaker Recognition

Blind Source Separation

Natural Language Processing and Speech Processing

Distance Estimation for Sound Source

Echo Cancellation

　

(Part 5: Pattern Recognition)

Support Vector Machine

Vector Quantization

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

　

(Part 6: Image Processing)

Image Deblurring

Light Field Camera

半色調影像處理

Region of Interest Extraction

Sharpness Measurement for Images

Structural Similarity

Scaling Invariant Feature Transform (SIFT)

Speeded-up Robust Feature (SURF) Points

Edge Detection (1)

Edge Detection (2)

Digital Watermarking

Video Summarization

Image Denoising

Rain Removal for Images

Corner Detection

Image Segmentation Using Superpixels

Video Segmentation Using Supervoxels

SAR Image Processing

Stereoscopic Image Processing

Hyperspectral Image Analysis

Satellite Image Processing

Damaged Signal Recovery

Augmented Reality

Shadow Removal(1)

Shadow Removal(2)

Super Resolution

Learning Based Superresolution

Image Sharpness

Image Enhancement

Image Stitching

Image Registration

　

(Part 7: Fast Algorithm)

Integer Cosine Transform

Fast Algorithm for DCT(1)

Fast Algorithm for DCT(2)

Integer Transform

Winograd FFT Algorithm

　

(Part 8: Communication)

Modern OFDM Techniques

Recent Development of CDMA

Multiple Signal Classification (MUSIC)

　

(Part 9: 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

　

(Part 10: Other Applications of Digital Signal Processing)

Cryptography(1)

Cryptography(2)

Multimedia Security

3-D Accelerometer Signal Analysis

Doppler Ultrasound Signal Analysis

Data Prediction

Signal Processing for Economical Data Analysis

Financial Signal Processing

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)

　

　