The Error Probability of Generalized Perfect Codes via the Meta-Converse Articles uri icon

publication date

  • March 2019


  • 65


  • 9

International Standard Serial Number (ISSN)

  • 0018-9448

Electronic International Standard Serial Number (EISSN)

  • 1557-9654


  • We introduce a definition of perfect and quasi-perfect codes for discrete symmetric channels based on the packing and covering properties of generalized spheres whose shape is tilted using an auxiliary probability measure. This notion generalizes previous definitions of perfect and quasi-perfect codes and encompasses maximum distance separable codes. The error probability of these codes, whenever they exist, is shown to coincide with the estimate provided by the meta-converse lower bound. We illustrate how the proposed definition naturally extends to cover almost-lossless source-channel coding and lossy compression.


  • shannon theory; perfect codes; quasi-perfect codes; maximum likelihood decoding; finite blocklength analysis; meta-converse; hypothesis testing; channel coding; joint source-channel coding; rate distortion theory