Noise Reduction Strategies for Digital Filters: Error Spectrum Shaping Versus the Optimal Linear State-Space Formulation

William Evan Higgins, David C. Munson

Research output: Contribution to journalArticle

62 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)963-973
Number of pages11
JournalIEEE Transactions on Acoustics, Speech, and Signal Processing
Volume30
Issue number6
DOIs
StatePublished - Jan 1 1982

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Digital filters
Noise abatement
Elliptic filters
Signal to noise ratio
Hardware

All Science Journal Classification (ASJC) codes

  • Signal Processing

Cite this

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