Tutorials and Industry Presentations
EUSIPCO 2009 will be accompanied by a set of half day tutorials on important and emerging topics in signal processing, which will be offered free of charge
to participants of the conference. The tutorials will be held at the
Royal College of the University of Strathclyde, next to Glasgow's
centrally located George Square and 10 minutes walk from the
conference venue, on Monday, 24th of August. In addition there
will also be Industry Lab Presentations
taking the form of demonstrations and hands-on experience of the latest
software, tools and techniques from premier companies involved in DSP
systems design.
Tutorial Overview
►Monday MORNING tutorials (9:30am to 12:30am):
♦ Image and Video Coding - From Principles to Systems (B. Girod)
♦ Statistical Methods for Single- & Multi-Pitch Estimation (M.G. Christensen, A. Jakobsson)
♦ Generalized DFT: Non-Linear Phase DFT for Improved Multicarrier Comms (A. Akansu)
►Monday MORNING industry presentations (9:30am to 12:30am):
♦ High Speed FPGA DSP Design and Implementation (XILINX)
►Monday AFTERNOON tutorials (2:00pm to 5:00pm):
♦ Sparse Sampling of Structured Information (T. Blu, P.L. Dragotti, P. Marziliano, M. Vetterli)
♦ Biometric Authentication: Theory, Algorithms and Emerging Applications (A. Drygajlo)
♦ Robust Statistics (A. Zoubir)
►Monday AFTERNOON industry presentations (1:45 to 4:45pm):
♦ Advanced DSP design with SystemVue 2009 (Agilent EEsof)
Tutorial Abstracts
Tutorial 1: Image and Video Coding - From Principles to Systems
Bernd Girod, Stanford University
Image and video coding has become one of the most ubiquitous signal
processing technologies, enabling everything from digital photography
to graphically rich web pages, from video streaming to digital cinema,
from digital TV broadcasting to HD optical disks. Based on a
graduate-level course taught in the Stanford Electrical Engineering
Department, this tutorial reviews the most important algorithms used in
image and video coding, emphasizing the underlying rate-distortion
principles. Topics discussed range from entropy coding, transforms, and
wavelet decompositions to motion estimation and compensation. We will
put into context various coding standards, such as JPEG-2000 and the
family of MPEG standards. The tutorial should be of interest to
industry practioners, academic researchers and graduates students
working in the area, as well as newcomers seeking a comprehensive
overview of the field.
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Tutorial 2: Statistical Methods for Single and multi-Pitch Estimation
Mads G. Christensen, Aalborg University
Andreas Jakobsson, Lund University
Periodic signals can be decomposed into sets of sinusoids having
frequencies that are integer multiples of a fundamental frequency. The
problem of finding such fundamental frequencies from noisy observations
is important in many speech and audio applications, where it is
commonly referred to as pitch estimation. In this tutorial, an
introduction to pitch estimation is given and a number of statistical
methods for pitch estimation are presented and discussed. The basic
signal models and associated estimation theoretical bounds are
introduced, and the properties of speech and audio signals are
discussed and illustrated. The presented methods include both single-
and multi-pitch estimators based on statistical methods, filtering
methods, and subspace methods.
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Tutorial 3: Generalized Discrete Fourier Transform: Non-Linear Phase DFT for Improved Multicarrier Communications
Ali Akansu, New Jersey Institute of Technology
Recently, the Generalized DFT (GDFT) exploiting the entire phase
space has been forwarded in the literature as an extension to DFT. GDFT
with non-linear phase functions has reduced correlations compared to
DFT. GDFT framework is a powerful mathematical tool to design optimal
constant modulus sets adaptively tracking channel variations in order
to minimize BER degradations due to ISI, ICI and PAPR charasteristics.
We will show that GDFT based OFDM methods significantly outperform the
widely used DFT based systems. We will also present design methods
offering computationally efficient implementations of GDFT as a low
cost modification to the celebrated FFT algorithms.
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Tutorial 4: Sparse Sampling of Structured Information
Thierry Blu, Chinese University of Hong Kong
Pier Luigi Dragotti, Imperial College London
Pina Marziliano, Nanyang Technological University
Martin Vetterli, EPFL
The problem of reconstructing or estimating partially observed or
sampled signals is an old and important one, and finds application in
many areas of signal processing and communications. Traditional
acquisition and reconstruction approaches are heavily influences by the
classical Shannon sampling theory which gives an exact sampling and
interpolation formula for bandlimited signals. Recently, the classical
Shannon sampling framework has been extended to classes of
non-bandlimited structured signals, which we call signals with Finite
Rate of Innovation. In these new sampling schemes, the prior that the
signal is sparse in a basis or in a parametric space is put to
contribution and perfect reconstruction is possible based on a set of
suitable measurements. This leads to new exact reconstruction formulas
and fast algorithms that achieve such reconstructions. The main aim of
this tutorial is to give an overview of these new exciting findings in
sampling theory. The fundamental theoretical results will be reviewed
and constructive algorithms will be presented, both for 1-D and 2-D
signals. We also discuss the effect of noise on the sampling and
reconstruction of structured signals. Finally a diverse set of
applications of these new concepts will be presented to emphasize the
importance and far reaching implications of these new theories.
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Tutorial 5: Biometric Authentication: Theory, Algorithms and Emerging Applications
Andrzej Drygajlo, EPFL
This tutorial provides an ample coverage of theoretical and applied
state-of-the-art research work as well as new trends and directions in
the biometrics field. It offers attendees a thorough understanding of
how core signal processing and pattern recognition building blocks of a
biometric authentication system are developed, implemented and tested.
While this tutorial covers a range of biometric traits including face,
fingerprint, iris, hand palm/geometry, vein structures, dynamic
signature and voice, its main emphasis is placed on the generic chain
of processing and statistical/probabilistic methods used, starting from
signal sensing and its quality estimation, passing through features
extraction and their statistical modelling for template creation and
ending at classifier/decision stage of single-classifier,
multi-classifier and multimodal systems.
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Tutorial 6: Robust Statistics for Signal Processing
Abdelhak Zoubir, Universität Darmstadt
The tutorial concerns robust statistics and their use in signal
processing. Robust statistics continue to gain importance due to an
increase of impulsive measurement environments and outliers in
practical engineering systems. Classical estimation or detection theory
does not apply in such situations and robust methods (in the
statistical sense) are sought for. The tutorial aims at equipping the
attendee with the most fundamental concepts of robust statistics and at
showing their power to solving signal processing problems. First, we
highlight the motivation for using robust statistics in real-life
situations and how robust statistics can be expected to remedy problems
in such practical systems. After a brief overview of concepts from
classical estimation theory, including Maximum Likelihood (ML)
estimation, we focus on robust estimation. We first introduce the
qualitative and the quantitative definitions of robustness and treat in
detail Huber’s robust M-estimator (ML-type estimator). We show how
robust M-estimators for location and scale are constructed. Joint
estimation for location and scale and the estimation of covariance and
correlation matrices are also discussed. We then discuss
semi-parametric adaptive estimation and give examples of its use. The
theoretical treatment is followed by three application examples. First,
we discuss a robust method for filtering in image processing. Then, we
introduce various robust multi-user detectors for wireless
communications, and finally, we give an example on robust direction of
arrival estimation.
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INDUSTRY LAB PRESENTATION #2:
Advanced DSP Design with SystemVue 2009
Frank Ditore, Agilent (EEsof), Atlanta, USA
In
this session, attendees will get hand-on experience using SystemVue for
advanced DSP communication design. A lab of 25 machines will be
fully licenced with the software, and an experienced instructor
lead follow-me session will be run, allowing attendees to
experience the complete design environment. SystemVue is a
focused EDA environment for electronic system-level (ESL) design that
enables system architects and algorithm developers to innovate the
physical layer (PHY) of next-generation wireless and aerospace/defense
communications systems. SystemVue
also provides unique value to RF, DSP, and FPGA/ASIC implementers who
rely on signal processing to deliver the full value of their hardware
platforms. SystemVue
replaces general-purpose digital, analog, and math environments by
offering a dedicated platform for ESL design and signal processing
realization. SystemVue "speaks RF", cuts PHY development and
verification time in half, and connects to your mainstream EDA
flow.
INDUSTRY LAB PRESENTATION #1:
High Speed FPGA DSP Design and Implementation
In
this session XUP (Xilinx University Programme) will present the
abridged version of the DSP Primer. Attendees will be
given a suitable set of notes and lab materials and a session will
be run to allow attendees to experience the easy-to-use System
Generator design flow, starting with the SysGen design, using the ISE
tools, then finally downloading to an FPGA Virtex board. The
design example will be a QAM based digital transceiver featuring
downvconverters, NCOs and timing circuits. All university
professors and academic staff attending and completing this session
will be elligible at the end to apply for support under the Xilinx University Programme,
where as appropriate XUP can make available sofware licences, extensive
DSP teaching materials (including slides, labbooks and realtime
examples), and in some cases provide support for acquiring FPGA
hardware for teaching and research.
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