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Diffusion LMS with communication constraints

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Unbiased Model Combinations for Adaptive Filtering

Ali H. Sayed

In this paper, we consider model combination methods for adaptive filtering that perform unbiased estimation. In this widely studied framework, two adaptive filters are run in parallel, each producing unbiased estimates of an underlying linear model. The o ...

IEEE2010

Robust inference for generalized linear models

Sahar Hosseinian Ehrensberger

Generalized Linear Models have become a commonly used tool of data analysis. Such models are used to fit regressions for univariate responses with normal, gamma, binomial or Poisson distribution. Maximum likelihood is generally applied as fitting method. I ...

EPFL2009

WAPA: A wearable framework for aerobatic pilot aid

Daniel Thalmann, Sylvain Cardin, Xavier Righetti

Disorientation induced by G-forces during aerobatic flight generates difficulties for the pilots to perfectly align their aerobatic maneuver. This paper presents a modular wearable system for enhancing training of aerobatic pilots. A combination of acceler ...

Springer2009

SURE-Based Non-Local Means

Dimitri Nestor Alice Van De Ville, Michel Kocher

Non-local means (NLM) provides a powerful framework for denoising. However, there are a few parameters of the algorithm-most notably, the width of the smoothing kernel-that are data-dependent and difficult to tune. Here, we propose to use Stein's unbiased ...

Institute of Electrical and Electronics Engineers2009

Effects of noise in different approaches for the statistics of polariton condensates

Paolo Schwendimann, Antonio Quattropani, Davide Sarchi

The second-order correlation function of the polariton condensate is calculated within two different approaches. Both approaches qualitatively reproduce the deviations from the full coherence of the second-order correlation function that have been observed ...

2008

Steady-State Performance of Adaptive Diffusion Least-Mean Squares

Ali H. Sayed

We study the mean-square performance of a diffusion least mean-squares protocol proposed in recent work to address the problem of distributed estimation [1, 2]. By relying on energy conservation arguments [8] we derive closed form expressions for the mean- ...

IEEE2007

Stochastic Approach to Data Analysis in Fluorescence Correlation Spectroscopy

Theo Lasser, Rajesh Langoju, Ramachandra Rao

Fluorescence correlation spectroscopy (FCS) has emerged as a powerful technique for measuring low concentrations of fluorescent molecules and their diffusion constants. In FCS, the experimental data is conventionally fit using standard local search techniq ...

2006

Mean-square performance of adaptive filters using averaging theory

Ali H. Sayed

This paper uses averaging analysis to study the mean-square performance of adaptive filters, not only in terms of stability conditions but also in terms of expressions for the mean-square error and the mean-square deviation of the filters, as well as in te ...

IEEE2004

Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images

Michaël Unser, Pascal Steiner, Mathews Jacob

Background: For the investigation of the molecular mechanisms involved in neurite outgrowth and differentiation, accurate and reproducible segmentation and quantification of neuronal processes are a prerequisite. To facilitate this task, we developed a sem ...

Wiley $ InterScience ^{ ® } $2004

Transient analysis of data-normalized adaptive filters

Ali H. Sayed

Abstract: This paper develops an approach to the transient analysis of adaptive filters with data normalization. Among other results, the derivation characterizes the transient behavior of such filters in terms of a linear time-invariant state-space model ...

IEEE2003