In this post I’ll be investigating compressed sensing (also known as compressive sensing, compressive sampling, and sparse sampling) in Python. Since the idea of compressed sensing can be applied in wide array of subjects, I’ll be focusing mainly on how to apply it in one and two dimensions to things like sounds and images. Specifically, I will show how to take a highly incomplete data set of sign
