  Here we describe a hierarchal and iterative data analysis algorithm used for
searching, characterizing, and removing bright, monochromatic binaries from the
Laser Interferometer Space Antenna (LISA) data streams. The algorithm uses the
F-statistic to provide an initial solution for individual bright sources,
followed by an iterative least squares fitting for all the bright sources.
Using the above algorithm, referred to as Slice & Dice, we demonstrate the
removal of multiple, correlated galactic binaries from simulated LISA data.
Initial results indicate that Slice & Dice may be a useful tool for analyzing
the forthcoming LISA data.
