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Dinesh Rajan

Researcher at Southern Methodist University

Publications -  157
Citations -  1580

Dinesh Rajan is an academic researcher from Southern Methodist University. The author has contributed to research in topics: Communication channel & Wireless network. The author has an hindex of 15, co-authored 150 publications receiving 1321 citations. Previous affiliations of Dinesh Rajan include Methodist University & Rice University.

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Proceedings ArticleDOI

ASTRA: Application of sequential training to rate adaptation

TL;DR: In this article, the authors apply sequential training to rate adaptation (ASTRA), leveraging the temporal correlation of context information, and demonstrate that ASTRA can significantly increase the accuracy of selecting these target rates by up to 175%.

New improved system for wwvb broadcast

TL;DR: While the new protocol can provide improved timing resolution, it was designed primarily to enhance the system’s robustness by reducing the signal-to-interference-and-noise-ratio (SINR) required for reception, to provide much improved coverage and to enable new applications.
Proceedings ArticleDOI

Weibull and Suzuki fading channel generator design to reduce hardware resources

TL;DR: The proposed Weibull fading channel generator employs CORDIC technology which can work without the need for a multiplier, a scarce FPGA resource when emulating wireless channels, using the proposed hardware implementation structure, and the resource consumption is effectively reduced.
Proceedings ArticleDOI

Multi-channel, Agile, Computationally Enhanced Camera Based on the PANOPTES Architecture

TL;DR: A multi-channel, agile, computationally enhanced camera based on the PANOPTES architecture, with preliminary image acquisition results and an example of super-resolution enhancement of captured data are given.
Proceedings ArticleDOI

Multichannel, agile, computationally enhanced camera based on the PANOPTES architecture

TL;DR: A multi-channel, agile, computationally enhanced camera based on the PANOPTES architecture, with preliminary image acquisition results and an example of super-resolution enhancement of captured data are given.