Zobrazeno 1 - 6
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pro vyhledávání: '"Pedersen, Niels Lovmand"'
In this paper, we present a Bayesian channel estimation algorithm for multicarrier receivers based on pilot symbol observations. The inherent sparse nature of wireless multipath channels is exploited by modeling the prior distribution of multipath co
Externí odkaz:
http://arxiv.org/abs/1303.1312
Existing methods for sparse channel estimation typically provide an estimate computed as the solution maximizing an objective function defined as the sum of the log-likelihood function and a penalization term proportional to the l1-norm of the parame
Externí odkaz:
http://arxiv.org/abs/1204.0656
Autor:
Pedersen, Niels Lovmand, Manchón, Carles Navarro, Badiu, Mihai-Alin, Shutin, Dmitriy, Fleury, Bernard Henri
Publikováno v:
Signal Processing 115 (2015) 94-109
In sparse Bayesian learning (SBL), Gaussian scale mixtures (GSMs) have been used to model sparsity-inducing priors that realize a class of concave penalty functions for the regression task in real-valued signal models. Motivated by the relative scarc
Externí odkaz:
http://arxiv.org/abs/1108.4324
Autor:
Pedersen, Niels Lovmand, Navarro Manchón, Carles, Badiu, Mihai-Alin, Shutin, Dmitriy, Fleury, Bernard Henri
Publikováno v:
In Signal Processing October 2015 115:94-109
Autor:
Pedersen, Niels Lovmand
Publikováno v:
Pedersen, N L 2013, Bayesian Inference Methods for Sparse Channel Estimation .
This thesis deals with sparse Bayesian learning (SBL) with application to radio channel estimation.As opposed to the classical approach for sparse signal representation, we focus on the problem of inferring complex signals. Our investigations within
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2896f497ff5bdba037a6bd4c7b8ed975
https://vbn.aau.dk/da/publications/2605826f-61f1-4df2-999c-2f98c6270bf1
https://vbn.aau.dk/da/publications/2605826f-61f1-4df2-999c-2f98c6270bf1
Autor:
Barbu, Oana-Elena, Pedersen, Niels Lovmand, Manchon, Carles Navarro, Monghal, Guillaume, Rom, Christian, Fleury, Bernard Henri
Publikováno v:
2014 IEEE 15th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC); 2014, p424-428, 5p