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Abstract--This paper introduces a new methodology for the design of finite impulse response filters within an evolvable
 

Summary: Abstract--This paper introduces a new methodology for the
design of finite impulse response filters within an evolvable
hardware platform targeting real-time adaptation. The
methodology incorporates a technique, which directs the search
by focusing it into regions responsible for the evolution of
individual coefficients. The methodology has been evaluated
with three different paradigms that include two low-pass filters
(29-order and 34-order, respectively) and a 41-order pass-band
finite impulse response filter. The proposed method is
compared with a conventional evolutionary strategy that has
been commonly used for the implementation of digital filters
resulting in significant improvements in terms of quality,
convergence speed and computational efficiency.
I. INTRODUCTION
HE employment of genetic algorithms (GAs) in the field
of electronics has been proved to be successful to many
applications where real-time system response, autonomous
reconfiguration and fault-recovery are critical issues.
However, there are several factors, which are related either
with the main system or the implementation of the GA that

  

Source: Arslan, Tughrul - School of Engineering and Electronics, University of Edinburgh

 

Collections: Engineering