2010/01/12 by Ziad Naja, Florence Alberge, P. Duhamel · 1 citation
Computer Science · Mathematics · #cs.IT #math.IT
paper · pdf · doi:10.1109/icassp.2009.4960131
published as ICASSP, Taipei : Taiwan (2009)
arxiv created 2010/01/12 · arxiv updated 2010/01/14
The paper first recalls the Blahut Arimoto algorithm for computing the capacity of arbitrary discrete memoryless channels, as an example of an iterative algorithm working with probability density estimates. Then, a geometrical interpretation of this algorithm based on projections onto linear and exponential families of probabilities is provided. Finally, this understanding allows also to propose to write the Blahut-Arimoto algorithm, as a true proximal point algorithm. it is shown that the corresponding version has an improved convergence rate, compared to the initial algorithm, as well as in comparison with other improved versions.