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- W2050572907 abstract "We propose a new class of vector quantization (VQ) codebook design algorithms, which alleviate many of the drawbacks associated with the well-known LBG and its variants. We introduce the notion of an adjacency map (AM), which provides a heuristic template for improved codebook design, by reducing the search space required for exhaustive optimization, while providing solutions close to the globally optimum, independent of the initial codewords or a target codebook size. An iterative adjacency merge (IAM) algorithm is presented, which outperforms the pairwise-nearest-neighbor (PNN) approach, through conformance to the minimum adjacency map. Additionally, an exhaustive search algorithm is presented that reduces the search complexity to the minimum without introducing heuristics." @default.
- W2050572907 created "2016-06-24" @default.
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- W2050572907 date "2000-04-19" @default.
- W2050572907 modified "2023-09-24" @default.
- W2050572907 title "<title>New class of VQ codebook design algorithms using adjacency maps</title>" @default.
- W2050572907 doi "https://doi.org/10.1117/12.382997" @default.
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