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pro vyhledávání: '"Mohammed Kashoob"'
Autor:
Nurul Hasan Shaikh, Ch. Venkateswara Rao, Syed Aqeel Ashraf, Ch. Ramya, Mohammed Kashoob, C. H. V. Suryanarayana
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811522550
The energy is substantial input for the economic growth of any country. In lieu of developing countries, increase in energy demand requires huge investments. Consequently, energy cost reduction, efficiency improvement and energy conservation utilizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e5a90342438c40b92e14ec4f8adc962
https://doi.org/10.1007/978-981-15-2256-7_34
https://doi.org/10.1007/978-981-15-2256-7_34
Autor:
Yuriy Zakharov, Mohammed Kashoob
Publikováno v:
SAM
In this paper, we investigate the performance of a new selective detection algorithm that is a modification of that proposed in [1]. The channel estimation used is based on adaptive model-based regularization in Multi Input Multi Output (MIMO) OFDM s
Autor:
Mohammed Kashoob, Yuriy Zakharov
Publikováno v:
WCNC
Optimal detection does not require channel estimation and jointly processes the received data and pilot symbols to recover the transmitted data. However, the complexity of the optimal detector increases significantly with increase in the size of the
Autor:
Mohammed Kashoob, Yuriy Zakharov
Publikováno v:
ISSPIT
In this paper, we investigate data-aided reweighted Linear Minimum Mean Square Error (LMMSE) iterative channel estimation in a Multi Input Multi Output (MIMO) OFDM communication system. The estimation is BEM (Basis Expansion Model) based. The channel