Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Fathi M. Salem"'
Autor:
Zaid Albataineh, Fathi M. Salem
Publikováno v:
International Journal of Speech Technology. 24:701-713
In this paper, we propose a frequency-domain method employing robust independent component analysis (RICA) to address the multichannel Blind Source Separation (BSS) problem of convolutive speech mixtures in highly reverberant environments. We impose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccf825b98e48ad44d733a22626b9b18
https://doi.org/10.1007/s10772-021-09833-z
https://doi.org/10.1007/s10772-021-09833-z
Autor:
Fathi M. Salem
Publikováno v:
2022 IEEE International Symposium on Circuits and Systems (ISCAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e83c58d0af9913d69a5aa17af60e611
https://doi.org/10.1109/iscas48785.2022.9937779
https://doi.org/10.1109/iscas48785.2022.9937779
Autor:
Fathi M. Salem, Zaid Albataineh
Publikováno v:
International Journal of Speech Technology. 24:957-968
This paper addresses the high dimensionality problem in blind source separation (BSS), where the number of sources is greater than two. Two pairwise iterative schemes are proposed to tackle this high dimensionality problem. The two pairwise schemes r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba64f33d10f99b70cb27527af57be9c3
https://doi.org/10.1007/s10772-020-09729-4
https://doi.org/10.1007/s10772-020-09729-4
Autor:
Fathi M. Salem
Publikováno v:
Recurrent Neural Networks ISBN: 9783030899288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e537b2dc1a7d13598cf17f032455308
https://doi.org/10.1007/978-3-030-89929-5_1
https://doi.org/10.1007/978-3-030-89929-5_1
Autor:
Fathi M. Salem
Publikováno v:
Recurrent Neural Networks ISBN: 9783030899288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a4418005d52e2b1c1256dd5e0cde8a1
https://doi.org/10.1007/978-3-030-89929-5_3
https://doi.org/10.1007/978-3-030-89929-5_3
Autor:
Fathi M. Salem
Publikováno v:
Recurrent Neural Networks ISBN: 9783030899288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55212892380cdd9fb4a4efa34d54a6d6
https://doi.org/10.1007/978-3-030-89929-5_6
https://doi.org/10.1007/978-3-030-89929-5_6
Autor:
Fathi M. Salem
Publikováno v:
Recurrent Neural Networks ISBN: 9783030899288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3eb3936f69f298a84ce00cacfc3cfed
https://doi.org/10.1007/978-3-030-89929-5_4
https://doi.org/10.1007/978-3-030-89929-5_4
Autor:
Fathi M. Salem
Publikováno v:
Recurrent Neural Networks ISBN: 9783030899288
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9599dc13f3940bfe8bb07f973934f359
https://doi.org/10.1007/978-3-030-89929-5_5
https://doi.org/10.1007/978-3-030-89929-5_5
Autor:
Fathi M. Salem
Publikováno v:
MWSCAS
We describe an unbounded capacity Associative Memory which effectively stores and retrieves unrestricted real-valued data/patterns with fidelity. This Associative Memory arises from a gradient system of a (differentiable scalar) energy function, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ede0ddcbb548447cd51d6d618ac5213
https://doi.org/10.1109/mwscas47672.2021.9531698
https://doi.org/10.1109/mwscas47672.2021.9531698
Autor:
Fathi M. Salem
This textbook provides a compact but comprehensive treatment that provides analytical and design steps to recurrent neural networks from scratch. It provides a treatment of the general recurrent neural networks with principled methods for training th