Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Seyed Ghorshi"'
Publikováno v:
SN Applied Sciences. 2
Synthetic Aperture Radar (SAR) is a type of radar that is mounted on an airborne platform and aims to increase the resolution of the acquisitions by traveling over the target area. The signals acquired by SAR are two dimensional, but it is possible t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10f82697554dccb57ba8becec385f5cd
https://doi.org/10.1007/s42452-020-03298-6
https://doi.org/10.1007/s42452-020-03298-6
Autor:
Hamed Khosravi, Seyed Ghorshi
Publikováno v:
International Journal of Fuzzy Logic Systems. 8:01-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9051a3f8fd349b41fdad80e86d4f757b
https://doi.org/10.5121/ijfls.2018.8301
https://doi.org/10.5121/ijfls.2018.8301
Publikováno v:
2019 6th International Conference on Space Science and Communication (IconSpace).
Synthetic Aperture Radar or in short SAR is a type of airborne radar which increases the diameter of the radar aperture by traveling over the target area which consequently will create images with more resolution. Tomo-SAR is the process of creating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f59fd300109e0a2bc20d81cf691a2bc
https://doi.org/10.1109/iconspace.2019.8905948
https://doi.org/10.1109/iconspace.2019.8905948
Publikováno v:
GlobalSIP
Brain-computer interfaces (BCIs) are devices that are developed to enable the brain to communicate with a machine directly. These devices usually make use of event-related potential (ERP) component of electroencephalography (EEG) signals. BCIs have s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61bb07844d1daef9856727f3fdfe6a0f
Publikováno v:
UKSim
Compressed Sensing (CS), as a new rapidly growing research field, promises to effectively recover a sparse signal at the rate of below Nyquist rate. This revolutionary technology strongly relies on the sparsity of the signal and incoherency between s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9742932e1b4aca6235bd88555e27a2c4
https://doi.org/10.1109/uksim.2016.8
https://doi.org/10.1109/uksim.2016.8
Publikováno v:
SSD
Enhancing the speech quality is the aim of noise reduction techniques. In order to have a desirable speech signal, it is necessary to eliminate the hearing fatigue and enhance the quality and intelligibility of speech signal. The present of additive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c5370aaa9f13780726a26be35e4c156
https://doi.org/10.1109/ssd.2016.7473687
https://doi.org/10.1109/ssd.2016.7473687
Publikováno v:
Speech Communication. 50:564-579
This paper highlights the differences in spectral features between British, Australian and American English accents and applies the cross-entropy information measure for comparative quantification of the impacts of the variations of accents, speaker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a98228f527c58d3e34794ff9a16c611
https://doi.org/10.1016/j.specom.2008.03.013
https://doi.org/10.1016/j.specom.2008.03.013
Publikováno v:
CCECE
Reverberated speech signals in noisy acoustical environments cause some problems such as reducing speech intelligibility, distinguishing speakers, locating source, quality for hands-free telephony, hearing aid, etc. Adaptive filters can be applied to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a548c304fe4949848a24ca0c72bebf8
https://doi.org/10.1109/ccece.2015.7129457
https://doi.org/10.1109/ccece.2015.7129457
Publikováno v:
WCSP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4355ec2935900108b3d21b0b3f089416
https://doi.org/10.1109/wcsp.2014.6992101
https://doi.org/10.1109/wcsp.2014.6992101
Publikováno v:
Proceedings ELMAR-2014.
Reverberated speech signals in acoustical environments produces some problems such as reducing speech intelligibility, distinguishing speakers, locating source, quality for hands-free telephony, hearing aid, etc. Adaptive filters can be applied to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05ef2017b57289317c26a4093fa700e3
https://doi.org/10.1109/elmar.2014.6923353
https://doi.org/10.1109/elmar.2014.6923353