Design of FIR digital filters with prescribed flatness and peak error constraints using second-order cone programming

This paper studies the design of digital finite impulse response (FIR) filters with prescribed flatness and peak design error constraints using second-order cone programming (SOCP). SOCP is a powerful convex optimization method, where linear and convex quadratic inequality constraints can readily be...

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Veröffentlicht in:	IEEE transactions on circuits and systems. 2, Analog and digital signal processing Analog and digital signal processing, 2005-09, Vol.52 (9), p.601-605
Hauptverfasser:	Tsui, K.M., Chan, S.C., Yeung, K.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Constrained finite impulse response (FIR) filter design Delay Design methodology digital differentiators Digital filters Finite impulse response filter IIR filters Least squares methods Linear programming low-delay (LD) magnitude and group delay flatness Minimax techniques Optimization methods peak error constraints second-order cone programming (SOCP) Transformers
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