2005
DOI: 10.1002/cta.325
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Design of linear phase FIR filters via linear complementarity problem approach

Abstract: SUMMARYIn this paper, the design of constrained linear phase ÿnite impulse response (FIR) ÿlters is considered. The problem is formulated as a linear complementarity problem (LCP), which is solved using Lemke's algorithm. The LCP is a reÿned mathematical formalism with useful theoretical results. The digital ÿlters presented meet e ciently the speciÿcations of the magnitude response error. The used algorithm is a direct one and therefore, there is no need for matrix inversion. However, in the iterative methods… Show more

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Cited by 4 publications
(3 citation statements)
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“…In that case the finite impulse response (FIR) filters are a natural solution, because they can provide exactly linear phase if coefficients have symmetry. Compared with the FIR filters [3,4], the infinite impulse response (IIR) filters can realize the same magnitude specifications and enable highspeed signal processing with considerably lower order. It is important to emphasize that the phase of the IIR filter is nonlinear, so the phase corrector is required to achieve the prescribed phase characteristic.…”
Section: Introductionmentioning
confidence: 99%
“…In that case the finite impulse response (FIR) filters are a natural solution, because they can provide exactly linear phase if coefficients have symmetry. Compared with the FIR filters [3,4], the infinite impulse response (IIR) filters can realize the same magnitude specifications and enable highspeed signal processing with considerably lower order. It is important to emphasize that the phase of the IIR filter is nonlinear, so the phase corrector is required to achieve the prescribed phase characteristic.…”
Section: Introductionmentioning
confidence: 99%
“…In many applications, phase distortion is not allowed, and finite impulse response (FIR) filters are in that case natural solution. Although only high‐order FIR filters could fulfill prescribed characteristics, sometimes they cannot be avoided and remain to be in the focus of researchers . Compared with the FIR filters, the lower‐order infinite impulse response (IIR) filters can realize the same prescribed magnitude specifications and enable high‐speed signal processing.…”
Section: Introductionmentioning
confidence: 99%
“…Linear phase is preferred in the digital signal processing applications such as mobile communications and medical electronics, since it has constant group delay . Typical design methods include Remez exchange‐based methods , least squares methods , frequency sampling methods and mathematic programming methods .…”
Section: Introductionmentioning
confidence: 99%