Overcompleteness
A subset of a Banach space
, sometimes called a "system", is complete if every element in
can be approximated arbitrarily well in norm by finite linear combinations of elements in
. Such a complete system is overcomplete if removal of a
from the system results in a system (i.e.,
) that is still complete. In different research, such as signal processing and function approximation, overcompleteness can help researchers to achieve a more stable, more robust, or more compact decomposition than using a basis. Overcomplete frames are widely used in mathematics, computer science, engineering, and statistics.