05
PEB
2015

Prof. Dr.-Ing. Abdelhak M. Zoubir

Prof. Dr.-Ing. Abdelhak M. Zoubir

Technische Universitat Darmstadt
Germany


Hari/Tanggal : Rabu, 20 Maret 2013
Waktu : 10.30 – 10.50 WIB
Tempat : The Trans Luxury Hotel Bandung
Agenda : Recent Advances on the Bootstrap for Signal Processing

 
 
MINUTES OF MEETING

The use of more accurate models in signal processing applications such as communications, radar, sonar, biomedical engineering, speech and image processing and machine learning has become a fundamental requirement. With an improved accuracy, the models have become more complex and inferential statistical signal processing has become intractable. The signal processing practitioner requires a simple but accurate method for assessing errors of estimates and answering inferential questions.

Asymptotic approximations are useful only when enough data is available, whis is not always possible due to time constraints, the nature of the signal or the measurement setting. In place of the formulae and tables of parametric and non-parametric procedures based on complicated mathematics and asymptotic approximations, tools such as the bootstrap are powerful for solving complex engineering problems. It is the method of an engineer’s choice for solving inferential signal processing problems, such as signal detection, confidence limits estimation and model selection, to mention a few.

In this talk, we first give a brief overview of the basic principle underlying the bootstrap methodology. We then discuss bootstrap techniques for independent data, followed by bootstrap techniques for dependent data. Bootstrap methods for signal detection and model selection are presented along with frequency domain bootstrap methods for spectral analysis. Real-data examples are also given.


EDUCATION:

NO Title Institution Year
1 Doktor-Ingenieur (Dr.-Ing., eq. PhD) Ruhr University Bochum 1992
2 Diplom-Ingenieur (Dipl.-Ing., eq. MEng/MEngSc) Ruhr University Bochum 1987
3 Diplom-Ingenieur (Dipl.-Ing. Eq. BEng/BEngSc) Fachhochshule Nieder-rhein 1983

AWARDS

Philips Prize, 1984, awarded to the top student at the Fachhochschule Niederrhein in Automation Technology, for outstanding academic achievement. Awarded DM 2,500.

Graduated in 1983 with highest grade point average for Diplom-Ingenieur degree at Fachhochschule Niederrhein, Krefeld, Germany.