Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Swärd, Johan"'
In this short paper, we describe an efficient numerical solver for the optimal sampling problem considered in "Designing Sampling Schemes for Multi-Dimensional Data". An implementation may be found on https://www.maths.lu.se/staff/andreas-jakobsson/p
Externí odkaz:
http://arxiv.org/abs/2111.05579
In this work, we consider the problem of estimating the parameters of polynomially damped sinusoidal signals, commonly encountered in, for instance, spectroscopy. Generally, finding the parameter values of such signals constitutes a high-dimensional
Externí odkaz:
http://arxiv.org/abs/1906.11113
In this work, we propose a method for determining a non-uniform sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor selection problem. The resulting sampling scheme minimizes the sum of the
Externí odkaz:
http://arxiv.org/abs/1707.03247
In this paper, we introduce a wideband dictionary framework for estimating sparse signals. By formulating integrated dictionary elements spanning bands of the considered parameter space, one may efficiently find and discard large parts of the paramet
Externí odkaz:
http://arxiv.org/abs/1704.07584
In this work, we extend the sparse iterative covariance-based estimator (SPICE), by generalizing the formulation to allow for different norm constraints on the signal and noise parameters in the covariance model. For a given norm, the resulting exten
Externí odkaz:
http://arxiv.org/abs/1609.03479
Publikováno v:
In Signal Processing June 2021 183
Publikováno v:
In Signal Processing February 2021 179
Publikováno v:
In Signal Processing September 2018 150:1-10
Publikováno v:
In Signal Processing February 2018 143:311-319
Publikováno v:
In Signal Processing January 2017 130:105-117