Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Richard M. Dansereau"'
Autor:
Youhao Yu, Richard M. Dansereau
Publikováno v:
IET Signal Processing, Vol 2024 (2024)
Compressive sensing (CS) is a technique that enables the recovery of sparse signals using fewer measurements than traditional sampling methods. To address the computational challenges of CS reconstruction, our objective is to develop an interpretable
Externí odkaz:
https://doaj.org/article/3904e2830db34b999e3a8d15f384edc7
Publikováno v:
IET Image Processing, Vol 16, Iss 11, Pp 2959-2972 (2022)
Abstract A method for overlapping cell image segmentation is presented with a focus on multi‐layer image processing in a three‐phase scheme. In the first phase, a convolutional neural network is developed to provide a coarse cell segmentation wit
Externí odkaz:
https://doaj.org/article/684fcde8decd4a25ba72414279b24c33
Publikováno v:
IEEE Access, Vol 9, Pp 123950-123963 (2021)
Radar detection of small drones in presence of noise and clutter is considered from a differential geometry viewpoint. The drone detection problem is challenging due to low radar cross section (RCS) of drones, especially in cluttered environments and
Externí odkaz:
https://doaj.org/article/dbe43cfc358044a9b6b01306e5ea7a27
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2010 (2010)
Externí odkaz:
https://doaj.org/article/6ce5e4abd2d5413fa9de940e4717a9c6
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2007 (2006)
We present a new technique for separating two speech signals from a single recording. The proposed method bridges the gap between underdetermined blind source separation techniques and those techniques that model the human auditory system, that is, c
Externí odkaz:
https://doaj.org/article/22552f732a274e339244ea29c86cf214
Publikováno v:
IEEE Transactions on Radiation and Plasma Medical Sciences. 6:564-573
Positron emission tomography (PET) imaging is used to track biochemical processes in the human body. PET image quality is limited by noise and several methods have been implemented to improve the quality. Kernel-based image reconstruction is among th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f3bfd3d0acdf23e565ced80546fd8c2
https://doi.org/10.1109/trpms.2021.3103104
https://doi.org/10.1109/trpms.2021.3103104
Autor:
Youhao Yu, Richard M. Dansereau
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7a36edbd0f84ecdf313f0880b9a7157
https://doi.org/10.23919/eusipco55093.2022.9909837
https://doi.org/10.23919/eusipco55093.2022.9909837
Publikováno v:
IEEE Access, Vol 9, Pp 123950-123963 (2021)
Radar detection of small drones in presence of noise and clutter is considered from a differential geometry viewpoint. The drone detection problem is challenging due to low radar cross section (RCS) of drones, especially in cluttered environments and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b779e538499dd8d7a791fce4d82c8649
https://ieeexplore.ieee.org/document/9531112/
https://ieeexplore.ieee.org/document/9531112/
Autor:
Richard M. Dansereau, Youhao Yu
Publikováno v:
International Journal of Signal Processing Systems. 8:26-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e239de751019d5d00f8131ededfae28b
https://doi.org/10.18178/ijsps.8.1.26-31
https://doi.org/10.18178/ijsps.8.1.26-31
Publikováno v:
EUSIPCO
One way to solve under-determined image decomposition is to use statistical information about the type of data to be decomposed. This information can be obtained by a deep learning where convolutional neural networks (CNN) are a subset recently used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2428997979f72a2f84ac7782d7360fd
https://doi.org/10.23919/eusipco47968.2020.9287435
https://doi.org/10.23919/eusipco47968.2020.9287435