Concept

Adaptive filter

Related publications (95)

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Explicit Recursive and Adaptive Filtering in Reproducing Kernel Hilbert Spaces

Devis Tuia

This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces. Unlike previous approaches that exploit the kernel trick on filtered and then mapped samples, we explicitly define the model recursivity in the Hilbert spa ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Robust distributed detection over adaptive diffusion networks

Ali H. Sayed, Ali Zoubir

Diffusion adaptation techniques based on the least-mean-squares criterion have been proposed for distributed detection of a signal in Gaussian-distributed noise, forgoing the need for a fusion center. However, least-mean-squares solutions are generally non ...

IEEE2014

Automatic Front-Crawl Temporal Phase Detection Using Adaptive Filtering of Inertial Signals

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

This study introduces a novel approach for automatic temporal phase detection and inter-arm coordination estimation in front-crawl swimming using inertial measurement units (IMUs). We examined the validity of our method by comparison against a video-based ...

Taylor & Francis2013

Low-Level Salient Region Detection Using Multi-Scale Filtering

Sabine Süsstrunk, Gökhan Yildirim

Various computer visions tasks require a summary of visually important regions in an image. Thus, developing simple yet accurate salient region detection algorithms has become an important research topic. The currently best performing state-of-the-art sali ...

2013

Continuous-time distributed estimation with asymmetric mixing

Ali H. Sayed

Discrete-time mobile adaptive networks have been successfully used to model self-organization in biological networks. We recently introduced a continuous-time adaptive diffusion strategy with the goal of better modeling physical phenomena governed by conti ...

IEEE2012

Bi-Exponential Edge-Preserving Smoother

Michaël Unser, Daniel Sage, Philippe Thévenaz

Edge-preserving smoothers need not be taxed by a severe computational cost. We present, in this paper, a lean algorithm that is inspired by the bi-exponential filter and preserves its structure-a pair of one-tap recursions. By a careful but simple local ad ...

Institute of Electrical and Electronics Engineers2012

Sparse diffusion LMS for distributed adaptive estimation

Ali H. Sayed

The goal of this paper is to propose diffusion LMS techniques for distributed estimation over adaptive networks, which are able to exploit sparsity in the underlying system model. The approach relies on convex regularization, common in compressive sensing, ...

IEEE2012

Recent implementations of fiber and integrated tunable microwave photonics filters

Luc Thévenaz, Nikolay Primerov

We present recent implementations of microwave photonic filters using the following two technologies: InP-based MDR (microdisk resonator) on and coupled to a nanophotonic SOI waveguide and dynamic Brillouin gratings (DBGs) in polarization maintaining fiber ...

IEEE2012

Kalman Filter to Measure Position and Speed of a Linear Actuator

Yves Perriard, Miroslav Markovic, Joël Maridor

This paper presents a method to dynamically filter the position and the speed of a linear actuator during its closing. A previous paper presented position detection without external sensor but, by simply deriving it, the corresponding speed was not usable ...

IEEE2011

Signal Processing Theory and Methods [In the Spotlight]

Ali H. Sayed, Ali Zoubir

The scope of the IEEE Signal Processing Theory and Methods (SPTM) Technical Committee has a broad span, ranging from digital filtering and adaptive signal processing to statistical signal analysis, estimation, and detection. There have also been significan ...

IEEE2011