  We provide a construction of Gabor frames that encode local linearizations of
a signal detected on a curved smooth manifold of arbitrary dimension, with
Gabor filters that can detect the presence of higher-dimensional boundaries in
the manifold signal. We describe an application in configuration spaces in
robotics with sharp constrains. The construction is a higher-dimensional
generalization of the geometric setting developed for the study of signal
analysis in the visual cortex.
