Adaptive Switched-Capacitor Filters Based on the LMS Algorithm

Ulrich Menzi, George S. Moschytz

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


The implementation of adaptive FIR filters based on the LMS algorithm using SC circuits is described. The filters consist of the basic elements: delay element, summing circuit, integrator, and multiplier. In an error analysis, the influence of nonideal effects of SC networks on the behavior of a given filter is investigated. It is shown that the nonidealities in the FIR filter part of the circuit can be eliminated by an additional constant tap element, whereas the main error source in the adaptation part are the multiplier- and integrator offset-errors, which can be compensated using special offset-free circuits. Using the proposed offset-compensation schemes, the accuracy of a switched-capacitor adaptive filter is mainly determined by the nonlinearity errors of the multipliers.

Original languageEnglish
Pages (from-to)929-942
Number of pages14
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Issue number12
StatePublished - Dec 1993
Externally publishedYes


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