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Published in 2021 at "International Journal of Speech Technology"
DOI: 10.1007/s10772-019-09641-6
Abstract: Generally, most blind signal separation algorithms deal with the separation problem in the absence of noise. The presence of noise degrades the performance of separated signals. This paper deals with the problem of blind separation…
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Keywords:
noise reduction;
separation;
noise;
signal separation ... See more keywords
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Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3271810
Abstract: Most traditional blind source separation (BSS) methods are based on the basic assumption that source signals are mutually independent. However, many signals in the real world are often interrelated to each other. In this letter,…
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Keywords:
sparsity;
dependent blind;
statistically dependent;
separation ... See more keywords
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Published in 2019 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2019.2930254
Abstract: We consider the use of free-space optical communication for fast moving platforms such as high-speed trains, where the sampling clock offset is randomly changing, in addition, the receiver does not have any information on the…
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Keywords:
signal detection;
detection synchronization;
blind signal;
errors fso ... See more keywords
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Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2932407
Abstract: In this paper, blind signal classification and detection in a non-orthogonal multiple access (NOMA) system are explored. Since a NOMA scheme superposes the multiple-user signals within nonorthogonal resources, classical modulation classification methods used in orthogonal…
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Keywords:
signal classification;
multiple access;
orthogonal multiple;
blind signal ... See more keywords