Anoush Mirbadin

Anoush Mirbadin

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8
Publications
369
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15
Citations

Publications

Publications (8)
Article
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This paper addresses the problem of mitigating unknown partial path overlaps in communication systems. This study demonstrates that by utilizing the front-end insight of communication systems along with the sum–product algorithm applied to factor graphs, it is possible not only to track these overlapping components accurately, but also to detect al...
Preprint
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p>We use the sum-product algorithm (SPA) on factor graphs to enable joint detection and decoding over multipath channels in single-carrier modulation formats. We simulate the multipath channels as accurately as possible at the receiver side by discretizing channel parameters, such as channel paths and attenuation coefficients, to compute means of G...
Preprint
Full-text available
p>Joint Detection and Decoding over Multipath Channels: the Known Path</p
Preprint
Full-text available
p>We use the sum-product algorithm (SPA) on factor graphs to enable joint detection and decoding over multipath channels in single-carrier modulation formats. We simulate the multipath channels as accurately as possible at the receiver side by discretizing channel parameters, such as channel paths and attenuation coefficients, to compute means of G...
Article
Full-text available
Featured Application The communications scenario analyzed in this paper is typical of environments affected by strong electromagnetic interference (EMI), such as, e.g., power line communications or power substations. The transmission of random correlated samples with continuous values, which we analyze, can be seen both as a rough model for multica...
Preprint
Full-text available
Impulsive noise is the main limiting factor for transmission over channels affected by electromagnetic interference. We study the estimation of (correlated) Gaussian signals in an impulsive noise scenarios. In this work, we analyze some of the existing as well as some novel estimation algorithms. Their performance is compared, for the first time, f...

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