Zobrazeno 1 - 10
of 318
pro vyhledávání: '"Paulo S. R. Diniz"'
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 2, Pp 522-534 (2021)
In the era of big data, profitable opportunities are becoming available for many applications. As the amount of data keeps increasing, machine learning becomes an attractive tool to analyze the information acquired. However, harnessing meaningful dat
Externí odkaz:
https://doaj.org/article/b5fdb1dada86406e8f579ee54f50dcb5
Publikováno v:
IEEE Access, Vol 7, Pp 141587-141593 (2019)
New approaches have been proposed to detect and exploit sparsity in adaptive systems. However, the sparsity is not always explicit among the system coefficients, thus requiring some tools to reveal it. By means of the so-called feature function, we p
Externí odkaz:
https://doaj.org/article/ddde7759413c410589aa9dea5d49a225
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2017, Iss 1, Pp 1-12 (2017)
Abstract In this paper, we address the robustness, in the sense of l 2-stability, of the set-membership normalized least-mean-square (SM-NLMS) and the set-membership affine projection (SM-AP) algorithms. For the SM-NLMS algorithm, we demonstrate that
Externí odkaz:
https://doaj.org/article/eb1667c221d1430091756f59378966ed
Autor:
Iker Sobron, Iñaki Eizmendi, Wallace A. Martins, Paulo S. R. Diniz, Juan Luis Ordiales, Manuel Velez
Publikováno v:
Sensors, Vol 17, Iss 4, p 932 (2017)
Spectrum sensing (SS) enables the coexistence of non-coordinated heterogeneous wireless systems operating in the same band. Due to its computational simplicity, energy detection (ED) technique has been widespread employed in SS applications; nonethel
Externí odkaz:
https://doaj.org/article/6cfefa2f16654d24b2d2a9bb2507297a
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2007 (2007)
Proportionate adaptive filters can improve the convergence speed for the identification of sparse systems as compared to their conventional counterparts. In this paper, the idea of proportionate adaptation is combined with the framework of set-member
Externí odkaz:
https://doaj.org/article/1d49e39e6eee40febf82ab275559f3af
Autor:
Marco A. M. Rodrigues, Paulo S. R. Diniz, Eduardo A. B. da Silva, Michel P. Tcheou, Lisandro Lovisolo
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
The number of waveforms monitored in power systems is increasing rapidly. This creates a demand for computational tools that aid in the analysis of the phenomena and also that allow efficient transmission and storage of the information acquired. In t
Externí odkaz:
https://doaj.org/article/b1545bedf3594087a1dd20eeba915366
Autor:
Zheng Zhou, Jie Chen, Zhixiang Huang, Jianming Lv, Jiaxing Song, Honglin Luo, Bocai Wu, Yingsong Li, Paulo S. R. Diniz
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-22
With the increasing amount of available data and advances in computing capabilities, deep neural networks (DNNs) have been successfully employed to solve challenging tasks in various areas, including healthcare, climate, and finance. Nevertheless, st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4bb4169ce73713df65a5506dcd6a88e
http://arxiv.org/abs/2301.04472
http://arxiv.org/abs/2301.04472
Publikováno v:
IEEE Signal Processing Letters. 29:489-492
Publikováno v:
Foundations and Trends® in Signal Processing. 16:224-429