1 research outputs found
Zero-delay source-channel coding
In this thesis, we investigate the zero-delay transmission of source samples over three
different types of communication channel models. First, we consider the zero-delay
transmission of a Gaussian source sample over an additive white Gaussian noise (AWGN)
channel in the presence of an additive white Gaussian (AWG) interference, which is
fully known by the transmitter. We propose three parameterized linear and non-linear
transmission schemes for this scenario, and compare the corresponding mean square
error (MSE) performances with that of a numerically optimized encoder, obtained using
the necessary optimality conditions. Next, we consider the zero-delay transmission of a
Gaussian source sample over an AWGN channel with a one-bit analog-to-digital (ADC)
front end. We study this problem under two different performance criteria, namely the
MSE distortion and the distortion outage probability (DOP), and obtain the optimal
encoder and the decoder for both criteria. As generalizations of this scenario, we consider
the performance with a K-level ADC front end as well as with multiple one-bit ADC
front ends. We derive necessary conditions for the optimal encoder and decoder, which
are then used to obtain numerically optimized encoder and decoder mappings. Finally,
we consider the transmission of a Gaussian source sample over an AWGN channel with
a one-bit ADC front end in the presence of correlated side information at the receiver.
Again, we derive the necessary optimality conditions, and using these conditions obtain
numerically optimized encoder and decoder mappings. We also consider the scenario
in which the side information is available also at the encoder, and obtain the optimal
encoder and decoder mappings. The performance of the latter scenario serves as a lower
bound on the performance of the case in which the side information is available only at
the decoder.Open Acces