Spectral Decomposition Algorithm (SDA)
An algorithm shared by Bryan Matthews, updated on Sep 10, 2010
Summary
Spectral Decomposition Algorithm (SDA) is an unsupervised feature extraction technique similar to PCA that was developed to better distinguish spectral features in the space shuttle main engine's optical plume. See paper below:
Code is not open sourced and therefore it is not available. See paper for sample pseudo code.
Source Files
There are currently no files associated to this item
Support/Documentation (edit)
For any questions, contact this resource's administrator: NDC-blmatthe
