Angle-constrained IIR filter pipelining for reduced coefficient sensitivities

Jin Gyun Chung, Hojun Kim, Keshab Parhi

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Lookahead pipelining methods can be efficiently used for high sample rate or low-power applications of digital recursive filters. However, pipelined recursive filters cannot be implemented using the conventional cascade or parallel structures with second-order sections, since pipelining is achieved by introducing additional cancelling poles and zeros. Thus, if the poles of the pipelined filters are tightly crowded, it is possible that the pipelined filters suffer from large coefficient sensitivities. In this brief, an angle-constrained filter design approach using a modified Remez exchange algorithm is proposed to avoid tight pole-crowding in pipelined filters by scattered lookahead. In addition to the reduced coefficient sensitivities, the constrained poles satisfy pipelining property without pole-zero cancellation, which leads to hardware-efficient design.

Original languageEnglish (US)
Pages (from-to)555-559
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
Issue number6
StatePublished - 2000


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