Abstract
Vector quantization (VQ) [Gra84] has emerged as an attractive technique for source coding at low bit rates. However, for a fixed rate, the encoder complexity increases exponentially with the vector dimension. Feedback vector quantizers [Dun85], [Cup82] are a special class of vector quantizers, which require smaller codebook (for the same distortion) as compared to their memoryless counterparts. However, the recursive loop in feedback vector quantizers presents a bottleneck for real-time applications such as video compression. High-speed techniques such as pipelining are necessary to increase the throughput of these algorithms.
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© 1994 Springer Science+Business Media New York
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Shanbhag, N.R., Parhi, K.K. (1994). A Pipelined Adaptive Differential Vector Quantizer Architecture and A Design Algorithm. In: Pipelined Adaptive Digital Filters. The Springer International Series in Engineering and Computer Science, vol 274. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2678-0_4
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DOI: https://doi.org/10.1007/978-1-4615-2678-0_4
Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4615-2678-0
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