… the nonlinear transform as a strong prior to effectively extract the source semantic features
… In our model, the nonlinear analysis transform condenses the source semantic features as a …

… the communication requirements of the emerging XR. … properties of NTSCC based semantic
communication system. In Section … response network for the semantic analysis transform g∗ …

… Hence, in semantic compression, abstract semantics is transformed into metrical information
measured by the complexity of describing the message using a universal Turing Machine. …

… The above superiority of NTSCC can well support semantic communications. Therefore,
in this paper, we choose NTSCC to build the semantic communication system. Similar to …

… Hence, in semantic compression, abstract semantics is transformed into metrical information
measured by the complexity of describing the message using a universal Turing machine. …

… of semantic communication lies in what we term the “semantic language”, which encompasses
the semantic encoder of the transmitter, the semantic … defines the transformation between …

… can express semantic information, so semantic communication has been in its infancy for a
long time. … algorithms, traditional communication has been rapidly transformed into semantic …

… semantic feature space via nonlinear transform operations that can much more closely match
and represent the source semantic … semantic analysis transform produces the semantically …

… nonlinear transform coding and deep JSCC. It utilizes nonlinear transformation to extract
source semantic … to implement semantic-aware communication by adding semantic guidance …

… Thus, ADJSCC-CSI comes as a general framework composed of three modules, the nonlinear
transform module, which aims to reduce distortions in the CSI feedback compression in …