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An Improvement of Akaike's FPE Criterion to Reduce its Variability

Publications associées (79)

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Digital holography for second harmonic microscopy: application to 3D-tracking of nanoparticles

Christian Depeursinge, Etienne Shaffer

Retrieval of the amplitude and phase of electromagnetic waves made digital holographic microscopy (DHM) capable of revealing morphological details at ultrahigh resolution in the order of a few nanometers only and precisely measuring the refractive index ac ...

SPIE2010

Linear Compressive Networks

Michael Christoph Gastpar, Naveen Goela

A linear compressive network (LCN) is defined as a graph of sensors in which each encoding sensor compresses incoming jointly Gaussian random signals and transmits (potentially) low-dimensional linear projections to neighbors over a noisy uncoded channel. ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Distributed Karhunen-Loeve Transform With Nested Subspaces

Michael Christoph Gastpar, Naveen Goela

A network in which sensors observe a common Gaussian source is analyzed. Using a fixed linear transform, each sensor compresses its high-dimensional observation into a low-dimensional representation. The latter is provided to a central decoder that reconst ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

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

Power Allocation for Beamforming Relay Networks under Channel Uncertainties

Ali H. Sayed

Under uncertain channel conditions, local and global power control factors for amplify-and-forward relay processing and source-destination beamforming are jointly and iteratively designed based on a minimum mean-square-error (MMSE) criterion. The influence ...

IEEE2009

Design of half- and full-duplex relay systems based on the MMSE formulation

Ali H. Sayed

In this paper, half- and full-duplex relay processing matrices and source-destination beamforming vectors are jointly optimized based on a minimum mean-square-error (MMSE) formulation under inequality constraints on the transmit power of the source and the ...

IEEE2009

Sound Field Analysis Along a Circle and its Application to HRTF Interpolation

Martin Vetterli, Christof Faller, Luciano Sbaiz, Thibaut Ajdler

The sampling and interpolation of a sound field in two and three dimensions along a circle is discussed. The Fourier domain representation of the sound field is used, and an angular sampling theorem is developed for the sampling of the sound field along a ...

2008

Minimum Mean-Square Error Equalization for Second-Order Volterra Systems

In this paper, a novel nonlinear Volterra equalizer is presented. We define a framework for nonlinear second-order Volterra models, which is applicable to different applications in engineering. We use this framework to define the channel and to model the e ...

2008

Uncoded Transmission Is Exactly Optimal for a Simple Gaussian "Sensor" Network

Michael Christoph Gastpar

A single memoryless Gaussian source is observed by many terminals, subject to independent Gaussian observation noises. The terminals are linked to a fusion center via a standard Gaussian multiple-access channel. The fusion center needs to recover the under ...

2008

Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis

Ali H. Sayed

We formulate and study distributed estimation algorithms based on diffusion protocols to implement cooperation among individual adaptive nodes. The individual nodes are equipped with local learning abilities. They derive local estimates for the parameter o ...

Institute of Electrical and Electronics Engineers2008