(Enter summary)
Abstract: This work is concerned with the problem of designing
robust, vector quantizer (VQ)-based communication systems
for operation over time-varying Gaussian channels. Transmission
energy allocation to VQ codeword bits, according to their
error sensitivities, is a powerful tool for improving robustness
to channel noise. The power of this technique can be further
enhanced by appropriately combining it with index assignment
methods. We pose the corresponding joint optimization problem
and suggest a... (Update)
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BibTeX entry: (Update)
S. Gadkari and K. Rose, "Vector quantization with transmission energy allocation for timevarying channels," Submitted to IEEE Trans. Commun.. http://citeseer.ist.psu.edu/gadkari99vector.html More
@misc{ gadkari-vector,
author = "S. Gadkari and K. Rose",
title = "Vector quantization with transmission energy allocation for timevarying
channels",
text = "S. Gadkari and K. Rose, Vector quantization with transmission energy allocation
for timevarying channels, Submitted to IEEE Trans. Commun..",
url = "citeseer.ist.psu.edu/gadkari99vector.html" }
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[Article contains additional citations not shown here]
Documents on the same site (http://www.scl.ece.ucsb.edu/html/papers_C.html):
Transactions Papers Time-Division Versus Superposition Coded.. - Gadkari, Rose (1999)
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