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Automated Fixed-point Data-type
Optimization Tool for Signal Processing and Communication Systems
Changchun Shi and Robert W. Brodersen
Design
Automation Conference, San Diego, June 2004
Abstract:
A tool that automates the
floating-point to fixed-point conversion (FFC) process for digital signal
processing systems is described. The tool automatically optimizes fixed-point
data types of arithmetic operators, including overflow modes, integer word
lengths, fractional word lengths, and the number systems. The approach is based
on statistical modeling, hardware resource estimation and global optimization
based on an initial structural system description. The basic technique exploits
the fact that the fixed point realization is a weak perturbation of the floating
point realization which allows the development of a system model which can be
used in the optimization process.

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