Source Coding for Campbell’s Penalties

نویسنده

  • Michael Baer
چکیده

Given a probability vector, Huffman coding finds a corresponding prefix-free binary code that minimizes the mean codeword length. In this paper we explore situations in which the goals are different from those in Huffman coding. We explore a family of penalties (generalized means) proposed by Campbell [8], finding redundancy bounds for a common subfamily. We generalize an efficient algorithm for finding length-limited codes [20] to an efficient algorithm for finding optimal codes for any convex Campbell cost. This algorithm, which also applies to a broader family of problems, can be performed using quadratic time and linear space.

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تاریخ انتشار 2008