Self-organizing kernel adaptive filteringEURASIP Journal on Advances in Signal Processing - Tập 2016 - Trang 1-12 - 2016
Songlin Zhao, Badong Chen, Zheng Cao, Pingping Zhu, Jose C. Principe
This paper presents a model-selection strategy based on minimum description
length (MDL) that keeps the kernel least-mean-square (KLMS) model tuned to the
complexity of the input data. The proposed KLMS-MDL filter adapts its model
order as well as its coefficients online, behaving as a self-organizing system
and achieving a good compromise between system accuracy and computational
complexity witho... hiện toàn bộ
A Particle Filtering Approach to Change Detection for Nonlinear SystemsEURASIP Journal on Advances in Signal Processing - Tập 2004 - Trang 1-11 - 2004
Babak Azimi-Sadjadi, P. S. Krishnaprasad
We present a change detection method for nonlinear stochastic systems based on
particle filtering. We assume that the parameters of the system before and after
change are known. The statistic for this method is chosen in such a way that it
can be calculated recursively while the computational complexity of the method
remains constant with respect to time. We present simulation results that show
th... hiện toàn bộ
Vienna MIMO TestbedEURASIP Journal on Advances in Signal Processing - Tập 2006 - Trang 1-13 - 2006
Sebastian Caban, Christian Mehlführer, Robert Langwieser, Arpad L Scholtz, Markus Rupp
While the field of MIMO transmission has been explored over the past decade
mainly theoretically, relatively few results exist on how these transmissions
perform over realistic, imperfect channels. The reason for this is that
measurement equipment is expensive, difficult to obtain, and often inflexible
when a multitude of transmission parameters are of interest. This paper presents
a flexible test... hiện toàn bộ
Audio Classification in Speech and Music: A Comparison between a Statistical and a Neural ApproachEURASIP Journal on Advances in Signal Processing - Tập 2002 - Trang 1-7 - 2002
Alessandro Bugatti, Alessandra Flammini, Pierangelo Migliorati
We focus the attention on the problem of audio classification in speech and
music for multimedia applications. In particular, we present a comparison
between two different techniques for speech/music discrimination. The first
method is based on Zero crossing rate and Bayesian classification. It is very
simple from a computational point of view, and gives good results in case of
pure music or speec... hiện toàn bộ
A concatenation scheme of LDPC codes and source codes for flash memoriesEURASIP Journal on Advances in Signal Processing - Tập 2012 - Trang 1-8 - 2012
Qin Huang, Song Pan, Mu Zhang, Zulin Wang
Recently, low-density parity-check (LDPC) codes have been applied in flash
memories to correct errors. However, as verified in this article, their
performance degrades rapidly as the number of stuck cells increases. Thus, this
paper presents a concatenation reliability scheme of LDPC codes and source
codes, which aims to improve the performance of LDPC codes for flash memories
with stuck cells. In... hiện toàn bộ
Strain and Cracking Surveillance in Engineered Cementitious Composites by Piezoresistive PropertiesEURASIP Journal on Advances in Signal Processing - Tập 2010 - Trang 1-6 - 2010
Jia Huan Yu, Tsung Chan Hou
Engineered Cementitious Composites (ECCs) are novel cement-based ultraductile
materials which is crack resistant and undergoes strain hardening when loaded in
tension. In particular, the material is piezoresistive with changes in
electrical resistance correlated with mechanical strain. The unique electrical
properties of ECC render them a smart material capable of measuring strain and
the evolutio... hiện toàn bộ