Signal Masking in Gaussian Channels
John A. Quinn and Christopher Williams
In: ICASSP 2008, 30 Mar - 4 April 2008, Las Vegas, USA.
We consider the problem of modifying the noise properties
of a channel in order to make the source as indecipherable
as possible given the output. Applications include jamming
communications, maintaining confidentiality near spoken conversations and masking noise pollution. We present results as
to how this can be done efficiently, assuming that we have a
Gaussian channel and a constraint on the power of the noise.
We go on to consider the case in which there is a positive signal which we want to remain coherent, as well as a negative
signal which we wish to confound. We also discuss the application of the theory to acoustic signals, where we consider
aspects of the human auditory system.