Zobrazeno 1 - 10
of 2 016
pro vyhledávání: '"Bhaskar D"'
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 2, Pp 1826-1841 (2021)
We address the problem of access point (AP) placement in small-cell networks with partial infrastructure flexibility, i.e., a novel class of problem in Beyond 5G, resultant from the utilization of unmanned aerial vehicles (UAVs) with AP functionaliti
Externí odkaz:
https://doaj.org/article/04815015f4554f39ab6b22cb9aa4bf4c
Autor:
Chen, Kuan-Lin, Rao, Bhaskar D.
Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize semidefinite programming (SDP). Although deep neural network (DNN)-base
Externí odkaz:
http://arxiv.org/abs/2408.16605
Autor:
Louis Pisha, Julian Warchall, Tamara Zubatiy, Sean Hamilton, Ching-Hua Lee, Ganz Chockalingam, Patrick P. Mercier, Rajesh Gupta, Bhaskar D. Rao, Harinath Garudadri
Publikováno v:
IEEE Access, Vol 7, Pp 162083-162101 (2019)
Hearing loss is one of the most common conditions affecting older adults worldwide. Frequent complaints from the users of modern hearing aids include poor speech intelligibility in noisy environments and high cost, among other issues. However, the si
Externí odkaz:
https://doaj.org/article/09f176dc984f42a89a4a56c86c3b6248
Autor:
Pote, Rohan R., Rao, Bhaskar D.
We propose a novel sensing approach for the beam alignment problem in millimeter wave systems using a single Radio Frequency (RF) chain. Conventionally, beam alignment using a single phased array involves comparing beamformer output power across diff
Externí odkaz:
http://arxiv.org/abs/2404.07604
Autor:
Sant, Aditya, Rao, Bhaskar D.
Detection for one-bit massive MIMO systems presents several challenges especially for higher order constellations. Recent advances in both model-based analysis and deep learning frameworks have resulted in several robust one-bit detector designs. Our
Externí odkaz:
http://arxiv.org/abs/2305.15543
Deep neural networks (DNNs) have greatly benefited direction of arrival (DoA) estimation methods for speech source localization in noisy environments. However, their localization accuracy is still far from satisfactory due to the vulnerability to non
Externí odkaz:
http://arxiv.org/abs/2302.10147
Autor:
Gopal, Govind R., Rao, Bhaskar D.
We examine the problem of uplink cell-free access point (AP) placement in the context of optimal throughput. In this regard, we formulate two main placement problems, namely the sum rate and minimum rate maximization problems, and discuss the challen
Externí odkaz:
http://arxiv.org/abs/2211.13356
A deep neural network using rectified linear units represents a continuous piecewise linear (CPWL) function and vice versa. Recent results in the literature estimated that the number of neurons needed to exactly represent any CPWL function grows expo
Externí odkaz:
http://arxiv.org/abs/2210.07236
Autor:
Pote, Rohan R., Rao, Bhaskar D.
We consider the parametric data model employed in applications such as line spectral estimation and direction-of-arrival estimation. We focus on the stochastic maximum likelihood estimation (MLE) framework and offer approaches to estimate the paramet
Externí odkaz:
http://arxiv.org/abs/2210.03266
Autor:
Sujata Mandal, Bhaskar D. Kulkarni
Publikováno v:
International Journal of Chemical Engineering, Vol 2011 (2011)
Processing of dilute liquid streams in the industries like food, agro-, biotechnology, pharmaceuticals, environment, and so forth needs special strategy for the separation and purification of the desired product and for environment friendly disposal
Externí odkaz:
https://doaj.org/article/eb668762dff8443bbb725d3c2267c212