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At the receiver, an iterative joint source and space time decoding scheme are developed to utilize redundancy in both STTC and VLEC to improve overall decoding performance.
We introduce the concept of joint source coding, channel coding, and secrecy.
Hence, we exercise joint source and channel coding (JSCC) by optimizing the system configuration.
Our HMP model represents the first joint source and sending rate model in adaptive streaming literature.
First, a joint source inversion was performed using teleseismic body wave and local ground motion data.
Our work can also be considered as one special case of joint source and channel decoding.
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distributed joint source-channel coding.
Compressive transmission utilizes CS as the joint source-channel code.
This chapter introduces theoretical justifications for joint source-channel coding (JSCC) and identifies certain expectations that one may have regarding JSCC and joint source-channel decoding (JSCD).
Furthermore, due to its intrinsic joint source-channel coding framework, DVC is robust to channel errors.
Most of the early works on joint source-channel coding used different forms of Huffman codes.
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