Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Renan Brotto"'
Autor:
Bruno Cancian de Araujo, Marcelo Tavares, Thales Renan Brotto, Juliana Silva-Freitas, Max Estefani Santos, Pâmella Saguiah, Stefan Schmidt
Publikováno v:
Biodiversity Data Journal, Vol 7, Iss , Pp 1-35 (2019)
We present the first regional inventory of the fauna of Chalcididae in the Peruvian Amazon, with a nearly 6-fold increase in the number of species recorded for the country. A total of 418 specimens of Chalcididae were collected between 2000 and 2017
Externí odkaz:
https://doaj.org/article/9e4adfd70c884c2aaea68b3fac8b0b2f
Publikováno v:
Journal of Communication and Information Systems. 36:90-99
This work deals with adaptive predictive deconvolution of non-stationary channels. In particular, we investigate the use of a cascade of linear predictors in the recovering of sparse and antisparse original signals. To do so, we first discuss the beh
In the last decade, there has been a great interest in finding new priors for Blind Source Separation (BSS). Some of the most interesting of them are sparsity, non-negativity and boundedness of the sources, since they consist in weaker assumptions wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c3d4d96605f4661e0d7bd1f2fdb77cb
https://doi.org/10.36227/techrxiv.19660680.v1
https://doi.org/10.36227/techrxiv.19660680.v1
In this paper we present three new algorithms for sparse multichannel blind deconvolution. The first algorithm is based on a cascade of a forward and a backward prediction error filter. The second consists in an alternating minimization algorithm for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6c5ad1d3657abd2d2729677490f8c81
https://doi.org/10.36227/techrxiv.19657791
https://doi.org/10.36227/techrxiv.19657791
In this paper we present a new criterion for bounded component analysis, a quite new approach for the Blind Source Separation problem. For the determined case, we show that the `1-norm of the estimated sources can be used as a contrast for the proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e3df144a4da9526157d02030b4ffa1c
https://doi.org/10.36227/techrxiv.16744216
https://doi.org/10.36227/techrxiv.16744216
This letter introduces the concept of antisparse Blind Source Separation (BSS), proposing a suitable criterion based on the $\ell_\infty$ norm to explore the antisparsity feature. The effectiveness of the criterion is theoretically demonstrated and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::267f36a3a765e8dc66548b68043b16e8
https://doi.org/10.36227/techrxiv.14787684.v1
https://doi.org/10.36227/techrxiv.14787684.v1
Publikováno v:
Journal of Communication and Information Systems. 33:271-281
Blind deconvolution is a major theme in signal processing and has been intensely investigated over the last decades. Among its several applications, we can mention the problem of seismic deconvolution and channel equalization in telecommunications. I
Publikováno v:
Anais de XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Publikováno v:
Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.
Publikováno v:
Anais de XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais.