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Navneet Agrawal
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Journal Articles
- 2024
- [j6]Navneet Agrawal
, Renato Luís Garrido Cavalcante
, Masahiro Yukawa
, Slawomir Stanczak
:
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. IEEE Trans. Signal Inf. Process. over Networks 10: 610-625 (2024) - 2023
- [j5]Fabio Molinari
, Navneet Agrawal
, Slawomir Stanczak
, Jörg Raisch
:
Over-the-Air Max-Consensus in Clustered Networks Adopting Half-Duplex Communication Technology. IEEE Trans. Control. Netw. Syst. 10(2): 983-992 (2023) - 2021
- [j4]Fabio Molinari
, Navneet Agrawal
, Slawomir Stanczak, Jörg Raisch
:
Max-Consensus Over Fading Wireless Channels. IEEE Trans. Control. Netw. Syst. 8(2): 791-802 (2021) - 2020
- [j3]Rajeev Ranjan, Navneet Agrawal
, Sunil Joshi:
Interference mitigation and capacity enhancement of cognitive radio networks using modified greedy algorithm/channel assignment and power allocation techniques. IET Commun. 14(9): 1502-1509 (2020) - [j2]Amit M. Joshi
, Prateek Jain
, Saraju P. Mohanty
, Navneet Agrawal:
iGLU 2.0: A New Wearable for Accurate Non-Invasive Continuous Serum Glucose Measurement in IoMT Framework. IEEE Trans. Consumer Electron. 66(4): 327-335 (2020) - 2017
- [j1]Vivek Jain, Navneet Agrawal
:
Implement Multichannel Fractional Sample Rate Convertor using Genetic Algorithm. Int. J. Multim. Data Eng. Manag. 8(2): 10-21 (2017)
Conference and Workshop Papers
- 2024
- [c11]Navneet Agrawal, Ehsan Tohidi, Renato L. G. Cavalcante, Slawomir Stanczak:
Towards Bridging the Gap Between Near and Far-Field Characterizations of the Wireless Channel. ICC 2024: 4464-4469 - [c10]Navneet Agrawal, Renato L. G. Cavalcante, Slawomir Stanczak:
Distributed Fixed-Point Algorithms for Dynamic Convex Optimization over Decentralized and Unbalanced Wireless Networks. WSA 2024: 97-102 - 2023
- [c9]Navneet Agrawal, Renato L. G. Cavalcante, Slawomir Stanczak:
Dynamic Distributed Convex Optimization "Over-The-Air" In Decentralized Wireless Networks. ICASSP 2023: 1-5 - [c8]Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu:
Coded Distributed Image Classification. MLSP 2023: 1-6 - 2022
- [c7]Navneet Agrawal, Yuqin Qiu, Matthias Frey
, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu:
A Learning-Based Approach to Approximate Coded Computation. ITW 2022: 600-605 - 2021
- [c6]Navneet Agrawal, Renato L. G. Cavalcante, Slawomir Stanczak:
Adaptive Estimation of Angular Power Spectra for Time-Varying MIMO Channels. SPAWC 2021: 96-100 - 2019
- [c5]Navneet Agrawal
, Matthias Frey
, Slawomir Stanczak:
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks. SPAWC 2019: 1-5 - 2018
- [c4]Rachna Mehta
, Navneet Agrawal
:
The Impact of Picture Splicing Operation for Picture Forgery Detection. ICACDS (1) 2018: 290-301 - 2013
- [c3]Navneet Agrawal
, Mayuri Jain:
Reconfigurable digital sequential system on chip design with its analysis of various parameters & power reduction using dynamic partial reconfiguration. ICACCI 2013: 1346-1351 - 2009
- [c2]Navneet Agrawal
, K. Venugopalan:
Synthetic Aperture Radar Image Processing Based on Piecewise Linear Mapping. CICSyN 2009: 346-350 - [c1]Navneet Agrawal
, K. Venugopalan:
Amplitude Phase Algorithm for SAR Signal Processing. CICSyN 2009: 351-356
Informal and Other Publications
- 2024
- [i7]Navneet Agrawal, Renato L. G. Cavalcante, Slawomir Stanczak:
Distributed fixed-point algorithms for dynamic convex optimization over decentralized and unbalanced wireless networks. CoRR abs/2401.18030 (2024) - [i6]Navneet Agrawal, Ehsan Tohidi, Renato L. G. Cavalcante, Slawomir Stanczak:
Towards Bridging the Gap between Near and Far-Field Characterizations of the Wireless Channel. CoRR abs/2402.16755 (2024) - 2023
- [i5]Navneet Agrawal, Renato L. G. Cavalcante, Masahiro Yukawa, Slawomir Stanczak:
Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. CoRR abs/2307.04913 (2023) - [i4]Jiepeng Tang, Navneet Agrawal, Slawomir Stanczak, Jingge Zhu:
Coded Distributed Image Classification. CoRR abs/2307.04915 (2023) - 2022
- [i3]Navneet Agrawal, Yuqin Qiu, Matthias Frey
, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu:
A Learning-Based Approach to Approximate Coded Computation. CoRR abs/2205.09818 (2022) - 2020
- [i2]Fabio Molinari, Navneet Agrawal, Slawomir Stanczak, Jörg Raisch:
Max-Consensus Over Fading Wireless Channels. CoRR abs/2005.05629 (2020) - 2019
- [i1]Navneet Agrawal, Matthias Frey, Slawomir Stanczak:
A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks. CoRR abs/1903.02885 (2019)
Coauthor Index
aka: Renato Luís Garrido Cavalcante
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last updated on 2024-09-02 21:19 CEST by the dblp team
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