• 913 Citations
  • 17 h-Index
1987 …2019
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Fingerprint Dive into the research topics where Tamal Bose is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Digital filters Engineering & Materials Science
Adaptive filtering Engineering & Materials Science
Cognitive radio Engineering & Materials Science
Adaptive filters Engineering & Materials Science
Modulation Engineering & Materials Science
Adaptive algorithms Engineering & Materials Science
Equalizers Engineering & Materials Science
IIR filters Engineering & Materials Science

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Research Output 1987 2019

  • 913 Citations
  • 17 h-Index
  • 92 Conference contribution
  • 69 Article
  • 8 Chapter
  • 2 Conference article

Emulating Wireless Networks with High Fidelity RF Interference Modeling

Schucker, T., Bose, T. & Ryu, B., Jan 2 2019, 2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc., p. 822-828 7 p. 8599761. (Proceedings - IEEE Military Communications Conference MILCOM; vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Telecommunication links
Wireless networks
Packet loss
Network performance
Degradation

Fully cognitive transceiver for High Frequency (HF) applications

Teku, N., Asadi, H., Bose, T. & Marefat, M., Jan 1 2019, Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2018. Suresh, R. (ed.). SPIE, 1101504. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11015).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

transmitter receivers
Transceivers
Transmitters
Transmitter
transmitters

GPGPU Based Parallel Implementation of Spectral Correlation Density Function

Marshall, S., Vanhoy, G., Akoglu, A., Bose, T. & Ryu, B., Jan 1 2019, In : Journal of Signal Processing Systems.

Research output: Contribution to journalArticle

GPGPU
Parallel Implementation
Density Function
Probability density function
Correlation Function

Hierarchical Modulation Classification Using Deep Learning

Vanhoy, G., Thurston, N., Burger, A., Breckenridge, J. & Bose, T., Jan 2 2019, 2018 IEEE Military Communications Conference, MILCOM 2018. Institute of Electrical and Electronics Engineers Inc., p. 20-25 6 p. 8599861. (Proceedings - IEEE Military Communications Conference MILCOM; vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Modulation
Frequency selective fading
Network architecture
Radar
Deep learning
1 Citation (Scopus)

Experience level analysis for a cognitive radio engine

Asadi, H., Volos, H., Marefat, M. M. & Bose, T., May 4 2018, (Accepted/In press) In : Analog Integrated Circuits and Signal Processing. p. 1-12 12 p.

Research output: Contribution to journalArticle

Cognitive radio
Engines
Intelligent agents
Communication systems
Availability