How much training is enough for secrecy beamforming with artificial noise.
Ta-Yuan LiuShih-Chun LinTsung-Hui ChangYao-Win Peter HongPublished in: ICC (2012)
Keyphrases
- speech enhancement
- noisy data
- noise reduction
- real world
- noise level
- training process
- training and testing data
- additive noise
- training samples
- artificial life
- signal to noise ratio
- random noise
- train a neural network
- background noise
- key management
- frequency domain
- test set
- non stationary
- supervised learning
- training set