### Skapa referens, olika format (klipp och klistra)

**Harvard**

Ståby, D. (2014) *Performance Testing of Cellular Communication System with Change-point Detection*. Göteborg : Chalmers University of Technology (Diploma work - Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden, nr: 2014:26).

** BibTeX **

@misc{

Ståby2014,

author={Ståby, Dan},

title={Performance Testing of Cellular Communication System with Change-point Detection},

abstract={This thesis discusses the use of change-point detection in an automated performance testing environment for
WCDMA base stations. It reviews three existing methods for change-point detection namely least-squares
importance fitting, Bayesian online change-point detection and wavelet footprints. It also introduces a novel
method based on a penalty formulation of average variance which is optimized with evolutionary optimization.
Benchmarking of the algorithms is performed by using binomial data and first performing a parameter sweep
to set the false detection rate to a constant value. Secondly all algorithms are tested to determine the detection
rate given a specific false detection rate. Wavelet footprints exhibited the best performance in terms of the
detection rate for a specific change-point size. It had a 90% detection rate for change-points of 12%. Average
variance with penalty performed the worst and had approximately half the relative performance than wavelet
footprints. Bayesian change-point detection and least-squares importance fitting had really similar performance
and did not exhibit any position dependence in terms of false alarms whereas the other methods did. The
algorithms have unique strengths and weaknesses but can all be used in an automated testing environment.
The use of such algorithms seem to be a promising way of analyzing large time series in performance testing
environments.},

publisher={Institutionen för tillämpad mekanik, Fordonsteknik och autonoma system, Chalmers tekniska högskola,},

place={Göteborg},

year={2014},

series={Diploma work - Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden, no: 2014:26},

keywords={Change-point detection, WCDMA, performance testing},

}

** RefWorks **

RT Generic

SR Print

ID 238910

A1 Ståby, Dan

T1 Performance Testing of Cellular Communication System with Change-point Detection

YR 2014

AB This thesis discusses the use of change-point detection in an automated performance testing environment for
WCDMA base stations. It reviews three existing methods for change-point detection namely least-squares
importance fitting, Bayesian online change-point detection and wavelet footprints. It also introduces a novel
method based on a penalty formulation of average variance which is optimized with evolutionary optimization.
Benchmarking of the algorithms is performed by using binomial data and first performing a parameter sweep
to set the false detection rate to a constant value. Secondly all algorithms are tested to determine the detection
rate given a specific false detection rate. Wavelet footprints exhibited the best performance in terms of the
detection rate for a specific change-point size. It had a 90% detection rate for change-points of 12%. Average
variance with penalty performed the worst and had approximately half the relative performance than wavelet
footprints. Bayesian change-point detection and least-squares importance fitting had really similar performance
and did not exhibit any position dependence in terms of false alarms whereas the other methods did. The
algorithms have unique strengths and weaknesses but can all be used in an automated testing environment.
The use of such algorithms seem to be a promising way of analyzing large time series in performance testing
environments.

PB Institutionen för tillämpad mekanik, Fordonsteknik och autonoma system, Chalmers tekniska högskola,

T3 Diploma work - Department of Applied Mechanics, Chalmers University of Technology, Göteborg, Sweden, no: 2014:26

LA eng

OL 30