Post-Processing Algorithms and Conditioning Functions for Entropy Sources (N20c)
Post-processing algorithms and conditioning functions are integral components of entropy sources and random number generators. They are applied to the raw output of the noise source to enhance the entropy per data bit, also known as randomness extraction. This talk will delve into the objectives of conditioning, various types of post-processing algorithms, and techniques for determining the entropy rate of post-processed data bits.