Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Hamid Sheikhzadeh"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-20 (2022)
Abstract This paper proposes a novel approach for improving the speech of a single speaker in noisy reverberant environments. The proposed approach is based on using a beamformer with a large number of virtual microphones with the suggested arrangeme
Externí odkaz:
https://doaj.org/article/4c45880c09ac4660ab55e75cea8565fe
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 6, Iss 3, Pp 15-24 (2014)
In many speech applications, the target signal is corrupted by highly correlated noise sources. Separating desired speaker signals from the mixture is one of the most challenging research topics in speech signal processing. This paper proposes a bina
Externí odkaz:
https://doaj.org/article/5b094e3a1fff4bc3b257c8f1cc3e9934
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 2, Iss 1, Pp 1-10 (2010)
In this paper, we propose a low-complexity model-based single-channel audio separation approach. The proposed method presents three certain advantages over previous methods: I) replacing commonly used linear masks like Wiener filtering by a proposed
Externí odkaz:
https://doaj.org/article/df06c36399664987a8ef48218a2a962b
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
Novel methods of cardiac rhythm detection are proposed that are based on time-frequency analysis by a weighted overlap-add (WOLA) oversampled filterbank. Cardiac signals are obtained from intracardiac electrograms and decomposed into the time-frequen
Externí odkaz:
https://doaj.org/article/cea803c868244f04819000091a787d53
Publikováno v:
2022 12th International Conference on Computer and Knowledge Engineering (ICCKE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9e6338e0c1a2b1067221752f71a43df
https://doi.org/10.1109/iccke57176.2022.9959976
https://doi.org/10.1109/iccke57176.2022.9959976
Publikováno v:
Archives of Computational Methods in Engineering. 28:2977-3000
Data acquisition and data processing are at the core of pavement management systems. Nowadays, traditional methods of data collection are rarely used in developed countries due to the considerable disadvantages of the traditional methods compared to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed8e24c68cf372a468d0873fb616e318
https://doi.org/10.1007/s11831-020-09484-4
https://doi.org/10.1007/s11831-020-09484-4
Publikováno v:
IEEE Communications Letters. 24:1738-1741
One intrinsic property of neural networks is making confident decisions because they do not capture uncertainty in training data. As a result, when Neural Networks (NN) are used in Deep Reinforcement Learning (DRL), agents cannot explore the action-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5983b0d834916bb66bcea51a3de89779
https://doi.org/10.1109/lcomm.2020.2990308
https://doi.org/10.1109/lcomm.2020.2990308
Publikováno v:
Neurocomputing. 383:396-408
High-dimensional data in many machine learning applications leads to computational and analytical complexities. Feature selection provides an effective way for solving these problems by removing irrelevant and redundant features, thus reducing model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd72490743bf0aa4d3ae1030a1e0ba6
https://doi.org/10.1016/j.neucom.2019.12.017
https://doi.org/10.1016/j.neucom.2019.12.017
Publikováno v:
Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 44:1529-1547
Array signal processing, as a versatile approach, can be used in both source separation and source localization applications. In the realm of the multi-channel blind source separation, time–frequency masking methods and data-dependent beamforming a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31b4cf80ab5f791567968548c160ac4c
https://doi.org/10.1007/s40998-020-00326-4
https://doi.org/10.1007/s40998-020-00326-4
Publikováno v:
Engineering Applications of Artificial Intelligence. 115:105279
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c47c83460af635f200ccc9fe34a2ebee
https://doi.org/10.1016/j.engappai.2022.105279
https://doi.org/10.1016/j.engappai.2022.105279