38,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
  • Broschiertes Buch

Active noise and vibration control has been the subject of intense study in the last two decades. Adaptive filtering plays a key role in the successful applications of active noise and vibration control systems. Some challenges facing adaptive filter design is how to increase the convergence rate of adaptive filtering and how to trade off the active control performance from the various frequency sub-bands. This book tackles these challenges by implementing the adaptive filtering algorithm in the frequency and sub-band domains. Specifically, this book presents a new sub-band adaptive filter…mehr

Produktbeschreibung
Active noise and vibration control has been the
subject of intense study in the last two decades.
Adaptive filtering plays a key role in the successful
applications of active noise and vibration control
systems. Some challenges facing adaptive filter
design is how to increase the convergence rate of
adaptive filtering and how to trade off the active
control performance from the various frequency
sub-bands. This book tackles these challenges by
implementing the adaptive filtering algorithm in the
frequency and sub-band domains. Specifically, this
book presents a new sub-band adaptive filter
architecture without a signal path delay and derives
the associated adaptive algorithm. The discussed
algorithms are applied to actively reduce the
vibration of a hard disk drive. Real time and
simulation results are provided throughout the book
accompanying the algorithm discussion. It not only
serves as an introductory text for active noise and
vibration control system, but as a practical
reference for developing adaptive algorithm in the
frequency and sub-band domains.
Autorenporträt
Longji Wang is a technical lead in multimedia compression at
Research In Motion, Waterloo, Canada. He received the B.S. and
M.S. degrees in computer science from the Northwestern
Polytechnical University, China and the M.S. and Ph.D. degrees in
electrical engineering from the University of Oklahoma, U.S.A.