Hidden Markov modeling and fuzzy controllers in FPGAs
Schmit, H.
Thomas, D.
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA;
This paper appears in: FPGAs for Custom Computing Machines, 1995. Proceedings. IEEE Symposium on
Publication Date: 19-21 Apr 1995
On page(s): 214-221
Meeting Date: 04/19/1995 - 04/21/1995
Location: Napa Valley, CA, USA
ISBN: 0-8186-7086-X
References Cited: 7
INSPEC Accession Number: 5162767
Digital Object Identifier: 10.1109/FPGA.1995.477428
Current Version Published: 2002-08-06
Abstract
This paper compares software and FPGA-based hardware
implementations of two applications. The first application uses hidden
Markov models, and the second application is a fuzzy controller. Hidden
Markov modeling is used for temporal pattern recognition and speech
recognition in particular. Both applications are accelerated when
implemented in FPGA-based hardware, but this acceleration is obtained by
using different algorithms than those used in software implementations.
These different algorithms produce slightly different outputs; therefore
both solution quality and performance must be evaluated to compare
hardware and software implementations. The experience of designing these
applications has implications for hardware/software codesign tools and
for the migration of existing software applications to FPGA-based
hardware
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