N
Nambirajan Seshadri
Researcher at Broadcom
Publications - 250
Citations - 20854
Nambirajan Seshadri is an academic researcher from Broadcom. The author has contributed to research in topics: Communication channel & Decoding methods. The author has an hindex of 59, co-authored 250 publications receiving 20708 citations. Previous affiliations of Nambirajan Seshadri include Avago Technologies & Alcatel-Lucent.
Papers
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Journal ArticleDOI
Space-time codes for high data rate wireless communication: performance criterion and code construction
TL;DR: In this paper, the authors consider the design of channel codes for improving the data rate and/or the reliability of communications over fading channels using multiple transmit antennas and derive performance criteria for designing such codes under the assumption that the fading is slow and frequency nonselective.
Journal ArticleDOI
Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels
TL;DR: With the proposed channel estimator, combining OPDM with transmitter diversity using space-time coding is a promising technique for highly efficient data transmission over mobile wireless channels.
Journal ArticleDOI
Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths
TL;DR: It is proved that in the absence of ideal channel state information the design criteria for space- time codes is still valid and the diversity order promised by space-time coding is achieved under a variety of mobility conditions and environmental effects.
Proceedings ArticleDOI
Space-time coded OFDM for high data-rate wireless communication over wideband channels
TL;DR: A space-time coded orthogonal frequency division multiplexing (OFDM) modulated physical layer is designed which combines coding and modulation and is attractive for delay-sensitive applications.
Journal ArticleDOI
Increasing data rate over wireless channels
TL;DR: Space-time coding (STC) is a new coding/signal processing framework for wireless communication systems with multiple transmit and multiple receive antennas that has the potential of dramatically improve the capacity and data rates and presents the best trade-off between spectral efficiency and power consumption.