Linear prediction has been extensively researched and a significant number of techniques have been proposed to enhance its effectiveness, among them switching linear predictors. In this paper, we propose a general framework for designing a family of adaptive switching linear predictors. In addition, we will utilize the proposed framework to construct a concrete implementation based on set partitions and relational operators.
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- Adaptive Switching Linear Predictor for Lossless Image Compression
- Springer Berlin Heidelberg
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