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Filtrado por: Contribuyente Crockett, Louise H. (Louise Helen) Tipo de recurso http://purl.org/coar/resource_type/c_db06

Deep learning for wireless communications : flexible architectures and multitask learning

Creador:

Kalade, Sarunas

Fecha:

2024

Department, School or Faculty:

Department of Electronic and Electrical Engineering
On the efficient implementation of the Line Hough Transform for embedded vision systems

Creador:

Northcote, David

Fecha:

2023

Department, School or Faculty:

Department of Electronic and Electrical Engineering
Using hypergraph theory to model coexistence management and coordinated spectrum allocation for heterogeneous wireless networks operating in shared spectrum

Creador:

Nyasulu, Tawachi

Fecha:

2022

Funder:

Schlumberger Foundation and Commonwealth Scholarship Commission

Department, School or Faculty:

Department of Electronic and Electrical Engineering
Hardware acceleration using FPGAs for adaptive radiotherapy

Creador:

Robinson, Fraser D.

Fecha:

2021

Department, School or Faculty:

Department of Biomedical Engineering
On detection of OFDM signals for cognitive radio applications

Creador:

Allan. Douglas G.

Fecha:

2019

Department, School or Faculty:

Department of Electronic and Electrical Engineering, Centre for Intelligent Dynamic Communications, and Digital Signal Processing (DSP) Enabled Communications
Design and implementation of real-time cognitive dynamic spectrum radio, targeting the FM radio band with PHYDYAS FS-FBMC

Creador:

Barlee, Kenneth W.

Fecha:

2021

Department, School or Faculty:

Department of Electronic and Electrical Engineering

Deep learning for wireless communications : flexible architectures and multitask learning

On the efficient implementation of the Line Hough Transform for embedded vision systems

Using hypergraph theory to model coexistence management and coordinated spectrum allocation for heterogeneous wireless networks operating in shared spectrum

Hardware acceleration using FPGAs for adaptive radiotherapy

On detection of OFDM signals for cognitive radio applications

Design and implementation of real-time cognitive dynamic spectrum radio, targeting the FM radio band with PHYDYAS FS-FBMC

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