Complete Communications Engineering

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DNNs Optimize Beamforming Weights

Deep Neural Networks are beneficial to traditional beamforming solutions, either by cleaning up the multi-microphone inputs prior to beamforming or by post-processing the beamforming output.  DNNs also can be used to generate the optimal beamforming

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DNN for Beamforming Preprocessing

The application of Deep Neural Networks (DNN) for single channel speech enhancement has been well documented and researched.  One of the main challenges of these solutions is the ability to remove strong interfering speech sources. 

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Beamforming Post-filters using DNNs

Beamforming post-filters are a non-linear speech enhancement module applied to a linear beamforming output.  Beamforming post-filters are used because uncorrelated noise and estimation errors of the direction of arrival estimation degrades the performance of beamformers,

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The Missing Security Layer

Each layer of the TCP/IP stack (Application, Transport, Network, Data Link and Physical) has established security and cryptography schemes except one, the Physical (PHY) layer. The Application Layer Users directly interface with this level. Applications

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Maximum Ratio Combining

Maximum Ratio Combining (MRC) is an optimization technique for combining signals that are carrying the same information.  Maximum ratio combining is most often applied to MIMO or SIMO wireless communications systems.  MRC is similar to

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What is Hybrid Beamforming?

Hybrid beamforming is the combination of features in RF communication channels from analog and digital beamforming.  Hybrid beamforming solutions are popular among 5G mmWave networks. In RF communications with an array of RF antennas, the

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Bluetooth Headset Voice Processing Software

Bluetooth Headsets require a collection of voice processing software modules, in order to achieve the best audio quality experience.  The software that is required for full duplex voice communications differs from audio streaming applications.  In

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