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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.

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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.