Concept

Root-mean-square deviation

Related publications (409)

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Adaptive networks consist of a collection of nodes with adaptation and learning abilities. The nodes interact with each other on a local level and diffuse information across the network through their collaborations, as dictated by the network topology and ...

IEEE2011

Diffusion-based bias-compensated RLS for distributed estimation over adaptive sensor networks

Ali H. Sayed

We present a diffusion-based bias-compensated recursive least squares (RLS) algorithm for distributed estimation in ad-hoc adaptive sensor networks where nodes cooperate to estimate a common deterministic parameter vector. It is assumed that both the regre ...

2011

Speech Enhancement using Beta-order MMSE Spectral Amplitude Estimator with Laplacian Prior

Hervé Bourlard

This report addresses the problem of speech enhancement employing the Minimum Mean-Square Error (MMSE) of β-order Short Time Spectral Amplitude (STSA). We present an analytical solution for β-order MMSE estimator where Discrete Fourier Transform (DFT) coef ...

Idiap2011

Image Denoising in Mixed Poisson-Gaussian Noise

Michaël Unser, Thierry Blu, Florian Luisier

We propose a general methodology (PURE-LET) to design and optimize a wide class of transform-domain thresholding algorithms for denoising images corrupted by mixed Poisson-Gaussian noise. We express the denoising process as a linear expansion of thresholds ...

Institute of Electrical and Electronics Engineers2011

Robust binary regression

Stephan Morgenthaler, Sahar Hosseinian Ehrensberger

Robust procedures increase the reliability of the results of a data analysis. We studied such a robust procedure for binary regression models based on the criterion of least absolute deviation. The resulting estimating equation consists in a simple modific ...

Elsevier2011

Compressive Sensing under Matrix Uncertainties: An Approximate Message Passing Approach

Volkan Cevher

In this work, we consider a general form of noisy compressive sensing (CS) when there is uncertainty in the measurement matrix as well as in the measurements. Matrix uncertainty is motivated by practical cases in which there are imperfections or unknown ca ...

2011

Performance of Deconvolution Methods in Estimating CBOC-Modulated Signals

Ali H. Sayed

Multipath propagation is one of the most difficult error sources to compensate in global navigation satellite systems due to its environment-specific nature. In order to gain a better understanding of its impact on the received signal, the establishment of ...

Hindawi Publishing Corporation2011

OCULAR ARTIFACT REMOVAL FROM EEG: A COMPARISON OF SUBSPACE PROJECTION AND ADAPTIVE FILTERING METHODS.

Touradj Ebrahimi, Jean-Marc Vesin, Ashkan Yazdani, Eleni Kroupi

One of the fundamental challenges in EEG signal processing is the selection of a proper method to correct ocular artifacts in the recorded electroencephalogram (EEG). Several methods have been proposed for this task. Among these methods, two main categorie ...

2011

Which similarity measure is better for analyzing protein structures in a molecular dynamics trajectory?

Fabio Pietrucci

An important step in the computer simulation of the dynamics of biomolecules is the comparison of structures in a trajectory by exploiting a measure of distance. This allows distinguishing structures which are geometrically similar from those which are dif ...

2011

Three-Dimensional Magnetic Focusing of Superparamagnetic Beads for On-Chip Agglutination Assays

Martinus Gijs, Thomas Lehnert, Yves Moser, Rana Afshar Ghasemlouy

We present a new method for three-dimensional (3D) magnetic focusing of magnetic microparticles in a microfluidic system. On-chip magnetic particle manipulation in themicrochannel is achieved by a high-gradientmagnetic field generated by means of a microma ...

2011

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