Time and Room: (a) Jan 9 (Monday), 2012; 1:30pm – 3:30pm, ED301. [1-4]
(b) Jan 12 (Thursday), 2012; 4:30pm – 6:00pm, ED527.[5-7]
(c) Jan 12 (Thursday), 2012; 6:30pm – 8:30pm, EDB01.[8-10]
從10月6日(週四)起,週四上課地點改為ED525。 因為補課,週四上課時間延長為4:40pm至 5:55pm。(預計停課日為10月20日,11月7日,11月14日)
(5) Term Project (Updated: 2011/12/05; Due: Jan 13, 2012) \\
(5) Term Project (Updated: 2011/12/05; Due: Jan 13, 2012) \\
Time and Room: (a) Jan 9 (Monday), 2012; 1:30pm – 3:30pm, ED301. [1-4] (b) Jan 12 (Thursday), 2012; 4:30pm – 6:00pm, ED527.[5-7]
Time and Room: (a) Jan 9 (Monday), 2012; 1:30pm – 3:30pm, ED301. [1-4]
(b) Jan 12 (Thursday), 2012; 4:30pm – 6:00pm, ED527.[5-7] \\
Time and Room: (a) Jan 9 (Monday), 2012; 1:30pm – 3:30pm, ED301. [1-4] (b) Jan 12 (Thursday), 2012; 4:30pm – 6:00pm, ED527.[5-7] (c) Jan 12 (Thursday), 2012; 6:30pm – 8:30pm, EDB01.[8-10]
(10) Video Coding (MPEG/ITU Video)
(11) Recent Progress (AVC, HEVC, 3DVC)
期末考預定在12月12日(週一)
(7) Subband and Human auditory system
(8) Audio Coding
(9) Motion estimation
(10) Video Coding (MPEG/ITU Video)
(11) 3D Video (MPEG)
(7) Subband and Human auditory system
(8) Audio Coding
(9) Motion estimation
(10) Video Coding (MPEG/ITU Video)
(11) Recent Progress (AVC, HEVC, 3DVC)
(5) Term Project (Due: Jan 13, 2012) \\
(5) Term Project (Updated: 2011/12/05; Due: Jan 13, 2012) \\
11月28日(週一)與12月1日(週四)因老師出國開會取消。
(5) Term Project 4 (Due: Jan 13, 2012) \\
(5) Term Project (Due: Jan 13, 2012) \\
11月28日(週一)與12月1日(週四)因老師出國開會取消。\\
11月28日(週一)與12月1日(週四)因老師出國開會取消。
期末考預定在12月12日(週一)
* The Term Project is announced (see below in the Homework Session). 請看期末報告說明。
* We will discuss Classnotes Chap 9 after Chap 6 is done. 講義第6章結束後,我們先講第9章。
期末考預定在12月12日(週一)
Claire; Flower; Other Files Δ \\
Claire; Flower; Other Files \\
11月28日(週一)與12月1日(週四)因老師出國開會取消。
* Final examine is scheduled on 12/12 (Monday); 2 hours, closed book, two pages of (one-sided) A4 notes. It may include Lecture Notes chaps .1-7 and 9.
期末考預定在12月12日(週一)
* The Term Project is announced (see below in the Homework Session). 請看期末報告說明。
* We will discuss Classnotes Chap 9 after Chap 6 is done. 講義第6章結束後,我們先講第9章。
Registration: http://registrano.com/events/20111110
(6) Predictive Coding (Speech Coding)
(7) Subband Coding (MPEG Audio)
(8) Wavelet Coding (JPEG2000)
(9) Motion estimation
(10)Video Coding (MPEG/ITU Video) \\
(6) Predictive Coding (Speech Coding)
(7) Subband and Human auditory system
(8) Audio Coding
(9) Motion estimation
(10) Video Coding (MPEG/ITU Video) \\
(4) computer HW4 (Due: Nov.21) \\
(4) computer HW4 (Due: Nov.21) \\
(5) Term Project 4 (Due: Jan 13, 2012)
Claire; Flower; Other Files Δ \\
HW1 Solutions (Due: Oct.13) \\
(3) HW3 (updated:10/27) (Due: Nov.3) \\
(3) HW3 (updated:10/27) (Due: Nov.3)
HW3 Solutions
(6) Predictive/Differential Coding (Speech Coding)\\
(4) computer HW4 (Due: Nov.21) \\
(4) computer HW4 (Due: Nov.21) \\
從10月6日(週四)起,週四上課地點改為ED525。 因為補課,週四上課時間延長為4:40pm至 5:55pm。(預計停課日為10月20日,11月7日)
從10月6日(週四)起,週四上課地點改為ED525。 因為補課,週四上課時間延長為4:40pm至 5:55pm。(預計停課日為10月20日,11月7日,11月14日)
(4) computer HW4 (Due: Nov.21)
lena; pepper; baboon
(1) Pearlman Chapter \\
(1) Pearlman Chapter \\
(3) HW3 (Due: Nov.3) \\
(3) HW3 (updated:10/27) (Due: Nov.3) \\
(2) computer HW2 (Due: Oct.24) \\
(2) computer HW2 (Due: Oct.24) \\
(3) computer HW3 (Due: Nov.3) \\
Registration: http://registrano.com/events/20111110
(4) Human Visual
(5) Transform Coding (JPEG)\\
(4) Human Visual
(5) Transform Coding (JPEG)\\
(1) HW1 (Due: Oct.13) \\
(1) HW1 (Due: Oct.13) \\
(4) Predictive/Differential Coding (Speech Coding)
(5) Transform Coding (JPEG)
(6) Subband Coding (MPEG Audio)
(7) Wavelet Coding (JPEG2000)
(8) Motion estimation
(9)Video Coding (MPEG/ITU Video)
(10) 3D Video (MPEG)
(4) Human Visual
(5) Transform Coding (JPEG)
(6) Predictive/Differential Coding (Speech Coding)
(7) Subband Coding (MPEG Audio)
(8) Wavelet Coding (JPEG2000)
(9) Motion estimation
(10)Video Coding (MPEG/ITU Video)
(11) 3D Video (MPEG)
Homework: 35 % (~3 HW Sets (10%) + 3 Computer (25%))
Final Examine: 35% (2 hours, closed book, two pages of (one-sided) A4 notes)
Term Project: 30% (15 mins each person; two persons as a group select a topic from a given list) \\
Homework: 35 % (~3 HW Sets (10%) + 2 Computer (25%))
Final Examine: 30% (2 hours, closed book, two pages of (one-sided) A4 notes)
Term Project: 35% (15 mins each person; two persons as a group select a topic from a given list) \\
(1) HW1 (Due: Oct.13)
(2) computer HW2 (Due: Oct.24) \\
(1) HW1 (Due: Oct.13)
(2) computer HW2 (Due: Oct.24) \\
(1) Pearlman Chapter \\
(1) Pearlman Chapter \\
(1) Pearlman Chapter\\
(1) Pearlman Chapter \\
This course is English-lectured. (本課程用英語教學。) \\
(1) Pearlman\\
(1) Pearlman Chapter\\
This course may be taught in English. (本課程可能用英語教學。) \\
This course is English-lectured. (本課程用英語教學。) \\
(1) HW1
(2) computer HW2\\
(1) HW1 (Due: Oct.13)
(2) computer HW2 (Due: Oct.24) \\
Lecture: | 1EF-ED301, 4H-ED101 |
Lecture: | 1EF-ED301, 4HY-ED525 |
從10月6日(週四)起,週四上課地點改為ED525。 因為補課,週四上課時間延長為4:40pm至 5:55pm。(預計停課日為10月20日,11月7日)
(3) Lossless Coding (Huffman, arithmetic, and dictionary)\\
(3) Lossless Coding\\
(1) Introduction )
(2) Lossless Coding (Huffman, arithmetic, and dictionary)
(3) Scalar/Vector Quantization\\
(1) Introduction
(2) Information Theory and Quantization
(3) Lossless Coding (Huffman, arithmetic, and dictionary)\\
This course may be taught in English. (本課程可能用英語教學。)
This course may be taught in English. (本課程可能用英語教學。)
* 9/15 (Thursday) 4:30pm class: Teaching Assistant will come to the class and explain briefly this course. The first regular lecture starts on Monday (9/19).
(8) Video Coding (MPEG Video)\\
(8) Motion estimation
(9)Video Coding (MPEG/ITU Video)
(10) 3D Video (MPEG)
10:00pm-12:00noon Monday; 1:30pm-3:30pm Wednesday (ED609)
Please make an appointment in advance (請儘可能事先預約時段) \\
(1) Introduction ? )
(2) Random Signals Δ (updated 3.03)
(3) Wiener Filters Δ
(4) Search Methods Δ (updated 4.12)
(5) Least-Mean-Square Algorithm Δ
(6) Lattice Adaptive Filters Δ
(7) Least-Squares Algorithm Δ (pp.9-12, updated: 5/15)
(8) Fast RLS Algorithm Δ
(9) Block Implementation of Adaptive Filters Δ \\
(1) Introduction )
(2) Lossless Coding (Huffman, arithmetic, and dictionary)
(3) Scalar/Vector Quantization
(4) Predictive/Differential Coding (Speech Coding)
(5) Transform Coding (JPEG)
(6) Subband Coding (MPEG Audio)
(7) Wavelet Coding (JPEG2000)
(8) Video Coding (MPEG Video)\\
(1) Introduction Δ (updated 3.03)\\
(1) Introduction ? )\\
(3) HW3 Δ (Due date: 5.16)
(3S) HW3 Sols Δ
(4) HW4 Δ matlab code: rlsI Δ (Due date: 5.25)
(4S) HW4 Sols Δ
(1) B. Widrow and S. Stearns, Adaptive Signal Processing, Prentice Hall, 1985.
(2) A.H. Sayed, Adaptive Filters, Wiley-Interscience, 2008.
(3) S. Haykin, Adaptive Filter Theory, 4th Ed. Prentice-Hall, 2002.
(1) J.-R. Ohm, Multimedia Communication Technology, Springer, 2004.
(2) Y. Q. Shi, H. Sun, Image and Video Compression for Multimedia Engineering, 2nd ed, CRC Press, 2008.
(3) D. Salomon, Data Compression: The Complete Reference, Springer, 2007.
Homework: 15 % (6 HW sets)
Matlab exercises and reports: 25% (3-4 exercises)
Final Examine: 30% (2 hours, two pages of A4 size notes)
Final project (oral and written report): 30%
Homework: 35 % (~3 HW Sets (10%) + 3 Computer (25%))
Final Examine: 35% (2 hours, closed book, two pages of (one-sided) A4 notes)
Term Project: 30% (15 mins each person; two persons as a group select a topic from a given list)
Signals & Systems, Digital Signal Processing, Stochastic Processes (Principles of Communication Systems, Digital Communications)\\
Signals and Systems, Commu. Systems, Digital Image Proc.\\
李讀修 (ED529, x 54228) (Office hours: Thursday EF) (doom8199@commlab.tw)
The goal of this course is to introduce to seniors and graduate students the principles and applications of adaptive signal processing. Adaptive signal processing has a wide variety of applications, particularly, in digital communication systems, radar, biomedical engineering and others. This course provides a compressive coverage of the basic principles of adaptation. It covers various adaptive signal processing algorithms such as the LMS algorithm and some applications, such as adaptive interference canceling, noise cancellation, etc.
This course introduces the basic theory and various techniques used in multimedia compression. It covers both lossless and lossy coding but with a higher percentage on the latter. We emphasize on the funda-mental principles of the compression techniques used for different types of data such as speech, audio, image and video. Also covered briefly are popular compression standards such as JPEG and MPEG.
This course may be taught in English. (本課程可能用英語教學。)
B. Farhang-Boroujeny, Adaptive Filters: Theory and Applications, Wiley 1998.\\
Class notes.
K. Sayood, Intro. to Data Compression, 3rd Ed., Morgan Kaufman, 2006.
Lecture: | 1EF, 3B, EDB22 |
Lecture: | 1EF-ED301, 4H-ED101 |