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pro vyhledávání: '"Mehmet Hakan Durak"'
Autor:
Mehmet Hakan Durak, Ozgur Ertug
Publikováno v:
ISNCC
In this paper, compressed sensing (CS) based new multiuser detector for sparse code multiple access (SCMA) systems is proposed. Since CS is the theory of sparse signal reconstruction with fewer samples, the proposed method consists of two steps. Firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3b4a4e59c5b7d2cbdd1988ded3659e3
https://doi.org/10.1109/isncc.2019.8909149
https://doi.org/10.1109/isncc.2019.8909149
Autor:
Mehmet Hakan Durak, Ozgur Ertug
Publikováno v:
SIU
With the increasing number of users, high spectral efficiency and low energy consumption requirements, the 5th generation (5G) communication system, which is the next generation communication system, is emerged. In this paper, we present a new multiu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44c037dba3be23eb597c750f59354498
https://doi.org/10.1109/siu.2019.8806486
https://doi.org/10.1109/siu.2019.8806486
Publikováno v:
SIU
In this paper, we proposed a speech signal denoising method using common vector approach (CVA) for very noisy signals. Based on CVA, classes are constructed from windowed speech samples/vectors according to their characteristics and denoising is perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27be6b3db1eb24415d5b0cec3dc213ef
https://avesis.gazi.edu.tr/publication/details/c629ea6f-8065-420c-9373-fb8395bb279c/oai
https://avesis.gazi.edu.tr/publication/details/c629ea6f-8065-420c-9373-fb8395bb279c/oai
Publikováno v:
International Journal of Applied Mathematics Electronics and Computers
Signal denoising approaches on data of any dimension largely relies on the assumption that data and the noise components and the noise itself are somewhat uncorrelated. However, any denoising process heavily depending on this assumption retreats when
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14aa5a302798d2a9c6a8b5634e5a60fb
https://doi.org/10.18100/ijamec.270343
https://doi.org/10.18100/ijamec.270343