Abstract
The paper presents a new algorithm to design channel optimized vector quantizer(COVQ) based on the equidistortion principal and wavelet transform. The algorithm creates new codebook vector which is in the near place of the sub region with the biggest sub-distortion and then replaces the codebook vector with the smallest subdistortion with this new codebook vector, therefore to equilibrate sub-distortion of all sub regions. The algorithm achieves a significant improvement of COVQ performance under noisy channel, as confirmed by experimental results.
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Yue, W. (2011). A Channel Optimized Vector Quantizer Based on Equidistortion Principal and Wavelet Transform. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24097-3_49
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DOI: https://doi.org/10.1007/978-3-642-24097-3_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24096-6
Online ISBN: 978-3-642-24097-3
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