Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Eeshan Malhotra"'
Publikováno v:
Signal Processing. 165:57-71
In many applications in compressed sensing, the measurement matrix is a Fourier matrix, i.e., it measures the Fourier transform of the underlying signal at some specified ‘base’ frequencies { u i } i = 1 M , where M is the number of measurements.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc5d5fc33cf33fe84293f9f0d4b9f55
https://doi.org/10.1016/j.sigpro.2019.06.033
https://doi.org/10.1016/j.sigpro.2019.06.033
Publikováno v:
GlobalSIP
In many applications in compressed sensing, the measurement matrix is a Fourier matrix, i.e., it measures the Fourier transform of the underlying signal at some specified `base' frequencies $\{u_i\}_{i=1}^M$, where $M$ is the number of measurements.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23bf5e5b24c6ba789013dace64361f8b
https://doi.org/10.1109/globalsip.2018.8646416
https://doi.org/10.1109/globalsip.2018.8646416
Publikováno v:
ICASSP
This paper presents a method for improving the recovery guarantee for signals that are sparse or compressible in some general basis (dictionary) using a splitting and reordering approach. The splitting algorithm applies existing results for dictionar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c5c5d8fdec9cf3558db459a1ca5d106
https://doi.org/10.1109/icassp.2017.7953325
https://doi.org/10.1109/icassp.2017.7953325
Autor:
Eeshan Malhotra, Ajit Rajwade
Publikováno v:
ICIP
In this paper we describe a straightforward, yet effective method of recovering angles from a set of tomographic projections when the view-angles are completely unknown. Existing works on this problem have consistently assumed availability of project
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cf35eb8c4811839f078fe06d5d20226
https://doi.org/10.1109/icip.2016.7532660
https://doi.org/10.1109/icip.2016.7532660
Autor:
Malhotra, Eeshan, Rajwade, Ajit
Publikováno v:
2016 IEEE International Conference on Image Processing (ICIP); 2016, p1759-1763, 5p
Publikováno v:
2016 IEEE International Conference on Image Processing (ICIP); 2016, pxxiii-xciv, 72p