Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Julian Wörmann"'
Publikováno v:
ICASSP
Distance-based dynamic texture recognition is an important research field in multimedia processing with applications ranging from retrieval to segmentation of video data. Based on the conjecture that the most distinctive characteristic of a dynamic t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe6f25452d43d6c051956b94ba42138e
https://doi.org/10.1109/icassp39728.2021.9414783
https://doi.org/10.1109/icassp39728.2021.9414783
Publikováno v:
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing, 2015, 64 (1), pp.120-130. ⟨10.1109/TSP.2015.2481875⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 64 (1), pp.120-130. ⟨10.1109/TSP.2015.2481875⟩
IEEE Transactions on Signal Processing, 2015, 64 (1), pp.120-130. ⟨10.1109/TSP.2015.2481875⟩
IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 64 (1), pp.120-130. ⟨10.1109/TSP.2015.2481875⟩
In the co-sparse analysis model a set of filters is applied to a signal out of the signal class of interest yielding sparse filter responses. As such, it may serve as a prior in inverse problems, or for structural analysis of signals that are known t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20a4a5e46bba646cb6a6816e863e2808
In this work we address the problem of blindly reconstructing compressively sensed signals by exploiting the co-sparse analysis model. In the analysis model it is assumed that a signal multiplied by an analysis operator results in a sparse vector. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0f515b6903e22f44911358d88353ccc
http://arxiv.org/abs/1302.1094
http://arxiv.org/abs/1302.1094