Results 71 to 80 of about 3,545,130 (223)

Understanding Game Theory via Wireless Power Control

, 2015
In this lecture note, we introduce the basic concepts of game theory (GT), a branch of mathematics traditionally studied and applied in the areas of economics, political science, and biology, which has emerged in the last fifteen years as an effective ...
Bacci, Giacomo, Luise, Marco, Sanguinetti, Luca   +2 more
core   +3 more sources

A New Iterative Algorithm for Magnetic Motion Tracking

Sensors
Motion analysis is of great interest to a variety of applications, such as virtual and augmented reality and medical diagnostics. Hand movement tracking systems, in particular, are used as a human–machine interface. In most cases, these systems are based
Tobias Schmidt, Johannes Hoffmann, Moritz Boueke, Robert Bergholz, Ludger Klinkenbusch, Gerhard Schmidt   +5 more
doaj   +1 more source

Adaptive independent sticky MCMC algorithms

EURASIP Journal on Advances in Signal Processing, 2018
Monte Carlo methods have become essential tools to solve complex Bayesian inference problems in different fields, such as computational statistics, machine learning, and statistical signal processing.
Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo   +3 more
doaj   +1 more source

Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease

Frontiers in Neurology, 2020
Alzheimer's disease (AD) continuum is defined as a cascade of several neuropathological processes that can be measured using biomarkers, such as cerebrospinal fluid (CSF) levels of Aβ, p-tau, and t-tau.
Adrià Casamitjana, Paula Petrone, José Luis Molinuevo, José Luis Molinuevo, José Luis Molinuevo, Juan Domingo Gispert, Juan Domingo Gispert, Juan Domingo Gispert, Verónica Vilaplana   +8 more
doaj   +1 more source

Phase retrieval from low-rate samples [PDF]

, 2014
The paper considers the phase retrieval problem in N-dimensional complex vector spaces. It provides two sets of deterministic measurement vectors which guarantee signal recovery for all signals, excluding only a specific subspace and a union of subspaces,
Boche, Holger, Pohl, Volker, Yang, Fanny
core  

A Signal Processor for Gaussian Message Passing

, 2014
In this paper, we present a novel signal processing unit built upon the theory of factor graphs, which is able to address a wide range of signal processing algorithms.
Bruderer, Lukas, Burg, Andreas, Huang, Qiuting, Kröll, Harald, Odermatt, Reto, Zwicky, Stefan   +5 more
core   +1 more source

Sampling and Reconstruction of Sparse Signals on Circulant Graphs - An Introduction to Graph-FRI

, 2017
With the objective of employing graphs toward a more generalized theory of signal processing, we present a novel sampling framework for (wavelet-)sparse signals defined on circulant graphs which extends basic properties of Finite Rate of Innovation (FRI)
Dragotti, Pier Luigi, Kotzagiannidis, Madeleine S.   +1 more
core   +1 more source

Algebraic Signal Processing Theory: Cooley-Tukey Type Algorithms for Polynomial Transforms Based on Induction [PDF]

, 2010
A polynomial transform is the multiplication of an input vector $x\in\C^n$ by a matrix $\PT_{b,\alpha}\in\C^{n\times n},$ whose $(k,\ell)$-th element is defined as $p_\ell(\alpha_k)$ for polynomials $p_\ell(x)\in\C[x]$ from a list $b=\{p_0(x),\dots,p_{n ...
Kovacevic, Jelena, Pueschel, Markus, Sandryhaila, Aliaksei   +2 more
core  

Multichannel Wiener filter in active sound‐navigation‐and‐ranging systems—A joint beamformer and matched filter approach

IET Radar, Sonar & Navigation
Conventional active SONAR systems often use beamformers and matched filters separately to extract bearing and range information from the received signal and offer a straightforward way of creating a two‐dimensional map of the environment.
Bastian Kaulen, Jan Abshagen, Gerhard Schmidt   +2 more
doaj   +1 more source

Sparse Signal Processing with Frame Theory

, 2012
Many emerging applications involve sparse signals, and their processing is a subject of active research. We desire a large class of sensing matrices which allow the user to discern important properties of the measured sparse signal. Of particular interest are matrices with the restricted isometry property (RIP).
openaire   +2 more sources