TKK | Tietoverkkolaboratorio | Opetus

S-38.220 Tietoliikenteen signaalinkäsittelyn lisensiaattikurssi (4 ov) LV

S-38.220 Postgraduate course on signal processing in communications (4 cp) P


The topic of this course in Fall 1999 will be:

VLSI Digital Signal Processing Systems:
Design and Implementation

Teacher: Professor Ramin Baghaie
Ramin.Baghaie@hut.fi Tel. : 451 2469 Office: SG 208

Assistant: Researcher Yaohui Liu
Yaohui.Liu@hut.fi Tel. : 451 5481 Office: SG 209b

Course Description:

Digital Signal Processing (DSP) is used in numerous applications such as multimedia and wireless communications, global positioning systems, cable modems, and video compression. During the course of implementation, in order to satisfy the enforced higher data rates and lower power consumption constraints of the aforementioned applications alternative methods should be taken into considerations.
In this course, we address the methodologies needed to design very Large Scale Integration (VLSI) circuits that are suitable for such applications. The emphasis of this course is on design of efficient architectures, algorithms and circuits, which can be operated with either less area or power consumption, or with higher speed.

This course will be based on the book:
 
 VLSI Digital Signal Processing Systems : Design and Implementation 
 by Keshab K. Parhi

You can preview the book here. If you want to borrow the book, please contact the course assistant. 

This course will be held in English.

Prerequisites:

Basics of Digital signal Processing (S-88.115/116) or (Tik-61.140) or equal knowledge.
Basic VLSI Design (S-88.132) or equal knowledge.

The requirements for passing the course are:

Lectures: Mondays 16-18     Room:E 111

For registration and other info please contact Ramin Baghaie or Yaohui Liu.



Schedule:
 
Date Contents Speaker(s) Exercises
4.10   Introduction   Prof. Ramin Baghaie  
11.10   §2. Iteration bound   Harri Mäntylä 2-1
11.10
  §3. Pipelining and parallel processing   Carl Eklund 3-14
18.10
  §4. Retiming   Gibson Mwakipesile 4-2
1.11
  §5. Unfolding   Markus Nentwig
5-1
1.11
  §6. Folding   Pierre Coulon  6-2
8.11
  §9. Algorithmic strength reduction in filters and transforms   Yaohui Liu 9-1,38
15.11
  §10. Pipelining and parallel recursive and adaptive filters   Kari Seppanen
 10-4
15.11
  §15. Numerical strength reduction   Giedrius Zavadskis
 15-5


Guidelines:

Each presentation will last 35 minutes and afterwards there will be an additional 10 minute time for questions and discussions.
Presentations will be held in English. Each speaker should write a report about the topic of his presentation and also should provide a copy of it for all the participants of the course. The report must be distributed at the presentation.
More detailed guidlines!
Sample report



Grade:

The final grade (0-5) will be an average of the grades of the oral presentation, the written report, and the returned exercises.



Literature:

The followings are good up-to-date sources of references.

1. Keshab K. Parhi, VLSI Digital Signal Processing Systems : Design and Implementation, New York, Wiley, 1999
2. Peter Pirsch, Architectures for Digital Signal Processing, Chichester, Wiley, 1998
3. Lars Wanhammar, DSP Integrated Circuits, San Diego, Academic press, 1999

The participants are supposed to search additional literature by themselves.


Comments or Questions !?


Links to the previous courses:
 
1999 Spring Multiuser Detection for CDMA Mobile Communications
1998 Fall Detection Theory for CDMA Mobile Communications 
1997 Fall Multiuser Detection in CDMA Mobile Communications
1997 Spring Digital Beamforming in Wireless Communications


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