2021
DOI: 10.48550/arxiv.2107.03975
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Compressibility Analysis of Asymptotically Mean Stationary Processes

Abstract: This work provides new results for the analysis of random sequences in terms of p -compressibility. The results characterize the degree in which a random sequence can be approximated by its best k-sparse version under different rates of significant coefficients (compressibility analysis). In particular, the notion of strong p -characterization is introduced to denote a random sequence that has a well-defined asymptotic limit (sample-wise) of its best k-term approximation error when a fixed rate of significant … Show more

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