By Topic

Noise reduction strategies for digital filters: Error spectrum shaping versus the optimal linear state-space formulation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Higgins, W.E. ; University of Illinois, Urbana, IL ; Munson, D.C., Jr.

The noise reduction performance of error spectrum shaping (ESS) structures and of the optimal linear state-space (LSS) structure are compared for second-order digital filter sections. It is shown that optimal direct form 1 and direct form 2 ESS realizations have a higher signal-to-noise ratio than the optimal LSS structure. In practice, suboptimal ESS structures with simple hardware implementations are of greater interest. Several of these implementations are considered and optimal values for the ESS coefficients in these structures are derived. For filters with zeros at z = -1, it is shown that some of the simple ESS structures can outperform the optimal LSS structure. For elliptic filters, it is shown that several of the suboptimal ESS structures perform poorly, but that others still perform well.

Published in:

Acoustics, Speech and Signal Processing, IEEE Transactions on  (Volume:30 ,  Issue: 6 )