Module also offered within study programmes:
General information:
Name:
Signal Compression
Course of study:
2019/2020
Code:
ZSDA-3-0030-s
Faculty of:
Szkoła Doktorska AGH
Study level:
Third-cycle studies
Specialty:
-
Field of study:
Szkoła Doktorska AGH
Semester:
0
Profile of education:
Academic (A)
Lecture language:
English
Form and type of study:
Full-time studies
Course homepage:
 
Responsible teacher:
dr hab. inż. Duda Krzysztof (kduda@agh.edu.pl)
Dyscypliny:
automatyka, elektronika i elektrotechnika
Module summary

Signal compression has many applications in data storage and transmission, e.g.: JPG, FLAC, MP3, MPEG. The lecture presents selected methods for signal compression including signal transformation, quantization, and entropy encoding.

Description of learning outcomes for module
MLO code Student after module completion has the knowledge/ knows how to/is able to Connections with FLO Method of learning outcomes verification (form of completion)
Social competence: is able to
M_K001 Social competences to cooperate in teams working on signal compression. SDA3A_K01, SDA3A_K03 Activity during classes
Skills: he can
M_U001 Skill to implement, apply, evaluate, and compare methods for signal compression. SDA3A_U07, SDA3A_U06, SDA3A_U01 Activity during classes
M_U002 Skill to self study issues of signal compression. SDA3A_U07, SDA3A_U01 Activity during classes
Knowledge: he knows and understands
M_W001 Knowledge of methods for transform coding. SDA3A_W02, SDA3A_W01 Activity during classes
Number of hours for each form of classes:
Sum (hours)
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Prace kontr. przejść.
Lektorat
15 15 0 0 0 0 0 0 0 0 0 0
FLO matrix in relation to forms of classes
MLO code Student after module completion has the knowledge/ knows how to/is able to Form of classes
Lecture
Audit. classes
Lab. classes
Project classes
Conv. seminar
Seminar classes
Pract. classes
Zaj. terenowe
Zaj. warsztatowe
Prace kontr. przejść.
Lektorat
Social competence
M_K001 Social competences to cooperate in teams working on signal compression. + - - - - - - - - - -
Skills
M_U001 Skill to implement, apply, evaluate, and compare methods for signal compression. + - - - - - - - - - -
M_U002 Skill to self study issues of signal compression. + - - - - - - - - - -
Knowledge
M_W001 Knowledge of methods for transform coding. + - - - - - - - - - -
Student workload (ECTS credits balance)
Student activity form Student workload
Summary student workload 50 h
Module ECTS credits 2 ECTS
Udział w zajęciach dydaktycznych/praktyka 15 h
Realization of independently performed tasks 35 h
Module content
Lectures (15h):
Subjects:

1. Transform coding:
a) the Karhunen–Loève Transform,
b) the Discrete Cosine Transform,
c) the Wavelet Transform.
2. Entropy encoding:
a) Huffman coding,
b) arithmetic coding,
c) Golomb coding,
d) Lempel–Ziv–Welch coding.
3. The JPG coding of still images.

Additional information
Teaching methods and techniques:
  • Lectures: Lecture with the projector and blackboard.
Warunki i sposób zaliczenia poszczególnych form zajęć, w tym zasady zaliczeń poprawkowych, a także warunki dopuszczenia do egzaminu:

The final pass is received based on lecture attendance.
In case of lack of the attendance students are asked to prepare the report on the subject they have missed.

Participation rules in classes:
  • Lectures:
    – Attendance is mandatory: Yes
    – Participation rules in classes: Attendance.
Method of calculating the final grade:

The final grade is the pass of lectures.

Sposób i tryb wyrównywania zaległości powstałych wskutek nieobecności studenta na zajęciach:

In case of lack of the attendance students are asked to prepare the report on the subject they have missed.

Prerequisites and additional requirements:

Master degree in electrical engineering.

Recommended literature and teaching resources:

David Salomon, Data Compression: The Complete Reference. Springer, 3rd Edition, 2004.

Tinku Acharya, Ping-Sing Tsai, JPEG2000 Standard for Image Compression Concepts, Algorithms and VLSI Architectures, A JOHN WILEY & SONS, INC., PUBLICATION, 2005.

J. C. Goswami, A. K. Chan: Fundamentals of Wavelets Theory, Algorithms, and Applications, Second Edition, 2011.

Adam Drozdek, Wprowadzenie do kompresji danych, WNT, Warszawa 1999.

T.P. Zieliński, Cyfrowe przetwarzanie sygnałów, od teorii do zastosowań, WKŁ, Warszawa, 2005.

Scientific publications of module course instructors related to the topic of the module:

https://bpp.agh.edu.pl/autor/duda-krzysztof-04141

Additional information:

None.