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Related publications (32)

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Diffusion Least-Mean Squares With Adaptive Combiners: Formulation and Performance Analysis

Ali H. Sayed

This paper presents an efficient adaptive combination strategy for the distributed estimation problem over diffusion networks in order to improve robustness against the spatial variation of signal and noise statistics over the network. The concept of minim ...

IEEE2010

Persistence length and scaling properties of single-stranded DNA adsorbed on modiﬁed graphite

Giovanni Dietler, Guillaume Witz, Kristian Rechendorff

We have characterized the polymer physics of single-stranded DNA (ssDNA) using atomic force microscopy. The persistence length l(p) of circular ssDNA adsorbed on a modified graphite surface was determined independently of secondary structure. At a very low ...

2009

Distributed adaptive learning mechanisms

Ali H. Sayed

The chapter describes recent developments in distributed processing over adaptive networks. The resulting adaptive learning rules rely on local data at the individual nodes and on collaborations among neighboring nodes in order to exploit the space-time di ...

John Wiley & Sons, Inc.2009

Steady-state performance of incremental learning over distributed networks for non-Gaussian data

Ali H. Sayed

In this paper, the steady-state performance of the distributed least mean-squares (dLMS) algorithm within an incremental network is evaluated without the restriction of Gaussian distributed inputs. Computer simulations are presented to verify the derived p ...

IEEE2008

Automatic detection of reaction start/endpoints in chemical and biotechnological reaction systems

Simon Crelier, Michael Amrhein

A classification methodology for the automatic detection of start- and endpoints of chemical and biotechnological reaction systems from spectral reaction data is proposed. In the calibration phase, several batch experiments must be conducted covering the e ...

2007

Propriétés hors-équilibre d'une paroi adiabatique

Séverine Pache

We study the evolution of a system composed of N non-interacting particles of mass m distributed in a cylinder of length L. The cylinder is separated into two parts by an adiabatic piston of a mass M ≫ m. The length of the cylinder is a fix paramete ...

EPFL2004

Transient analysis of adaptive filters

Ali H. Sayed

This paper develops a framework for the mean-square analysis of adaptive filters with general data and error nonlinearities. The approach relies on energy conservation arguments and is carried out without restrictions on the probability distribution of the ...

IEEE2001

Multi-stream adaptive evidence combination for noise robust ASR

Hervé Bourlard, Astrid Hagen

In this paper we develop different mathematical models in the framework of the multi-stream paradigm for noise robust ASR, and discuss their close relationship with human speech perception. Largely inspired by Fletcher's "product-of-errors" rule in psychoa ...

NORTH-HOLLAND2001

Mean-Square Analysis of Normalized Leaky Adaptive Filters

Ali H. Sayed

We study leaky adaptive algorithms that employ a general scalar or matrix data nonlinearity. We perform mean-square analysis of this class of algorithms without imposing restrictions on the distribution of the input signal. In particular, we derive conditi ...

2001

Multi-stream adaptive evidence combination for noise robust ASR

Hervé Bourlard, Astrid Hagen

IDIAP1999