… sources of distortion through the optimal bit allocation, in addition to designing the best source
and channel codes, makes this joint source… of qenc(̂y|x; φ) as mapping images x to latent …

… the compressed bits over the channel using an optimal channel code, designed … mapping
of the source information to the channel input (and vice versa at the receiver) depending on the …

… output is converted to complex numbers by mapping one half to the real part and the other
… We only show the performance of the best combination of source and channel coding, which …

… this two-step source and channel coding approach is optimal theoretically in the asymptotic
… allow to learn a non-linear mapping from the source signal space to the coded signal space. …

… , is to independently design source and channel coding, which is optimal in the asymptotic
limit of … Intuitively, we expect this design to simultaneously learn channel symbol mapping and …

… output of the JSCC encoder was mapped to binary phase … (Ideal): We consider the neural
joint sourcechannel coding (… -flip probabilities, with an ideal training strategy described below. …

… deep joint source-channel coding. The whole system design is formulated as an optimization
… on the principle: the source vector x is not directly mapped to the channel input symbols, …

… , end-to-end optimized neural joint sourcechannel coding (JSCC) has made great progress
over … methods [17]–[20], in deep JSCC [6], the source vector x ∈ Rm, is mapped to a vector of …

… In various early works involving signal modulation strategies, Gray mapping is usually
considered as the optimal labelling rule [24], [25], since the bit differences between the nearest …

… Lastly, we compute the optimal solution, where the steps … is taken, the codeword to action
mapping at the scout can be … to the source coding and joint source-channel coding problems by …