Developmental – DMD Meets Space City (Part I)

Posted on by clbmath

Imagine being able to detect subtle patterns in Earth's landscape using mathematical tools. With NASA's API for obtaining LANDSAT Imagery and the Dynamic Mode Decomposition (DMD) technique, this becomes not only possible but accessible to anyone with enough curiosity and a reasonable understanding of python. Here are the highlights: LANDSAT Summary Accessing NASA's API DMD … Continue reading Developmental – DMD Meets Space City (Part I)

Advanced – Maximum A Posteriori Estimation Decoding

Posted on by clbmath

(Part One: AWGN Model) A useful example of MAP estimation was NASA's 1997 US patent, pertaining to the invention of a MAP decoder for digital communications. MAP decoding is a probabilistic decoding method that selects the most likely transmitted sequence given the received sequence and the channel's statistical properties. It is fundamental in the field … Continue reading Advanced – Maximum A Posteriori Estimation Decoding