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==Short Description==
 
==Short Description==
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In mobile communications, such as in the latest 3G standards, mobile phones usually operate in unfavorable environments. There is no line of sight, the base station is far away and other mobiles are interfering. Despite that we expect a reliable, error-free and fast connection. To achieve this goal and to combat all these negative influences we need to know the amount of noise in relation to the desired signal. This so-called signal-to-noise ratio (SNR) is the basis for almost any digital signal processing in a receiver.
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TBD
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In this semester project you will implement an efficient SNR-estimation algorithm in order to obtain an energy and area-efficient solution. This can be done as a chip-design project, where an ASIC will be taped out and measured during the VLSI III lecture.
 
  
 
===Status: Available ===
 
===Status: Available ===
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==References==
 
==References==
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[1] Harald Kröll, Stefan Zwicky, Thomas Willi, Andreas Burg, Qiuting Huang. Optimal Channel Shortening and Equalization based on Information Rate Maximization for Enhanced 2G Networks. In ''TBD'', pages ???, September 2012.
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[1] Harald Kröll, Stefan Zwicky, Thomas Willi, Andreas Burg, Qiuting Huang. Optimal Channel Shortening and Equalization based on Information Rate Maximization for Enhanced 2G Networks. In ''TBD'', pages TBD, TBD.
  
 
[[Category:Digital]]
 
[[Category:Digital]]

Revision as of 18:51, 23 March 2015

File:RusekPrefilter.jpg

Short Description

TBD

Status: Available

Looking for 1-2 Semester students
Contact: Benjamin Weber

Prerequisites

VLSI I
MATLAB

Character

20% Theory/Simulation
50% VHDL
30% ASIC Implementation

Professor

Qiuting Huang

References

[1] Harald Kröll, Stefan Zwicky, Thomas Willi, Andreas Burg, Qiuting Huang. Optimal Channel Shortening and Equalization based on Information Rate Maximization for Enhanced 2G Networks. In TBD, pages TBD, TBD.

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