2016 IEEE MTT-S International Microwave Symposium (IMS) 2016
DOI: 10.1109/mwsym.2016.7540243
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Lossy coupling matrix filter synthesis based on hyperbolic reflections

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Cited by 4 publications
(11 citation statements)
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“…Notably, the C i,σ (jω) do not coincide with either a mere predistortion applied to the polynomials eqs. ( 4) and (7) or their evaluation along s = σ + jω. The resulting expressions are in fact no longer polynomials in a single complex variable: conditions C i,σ (jω) are made by terms in the formf (s)f * (s) evaluated along jω withf (s) any of the σ-predistorted polynomials.…”
Section: B Bivariate Polynomials Approachmentioning
confidence: 99%
“…Notably, the C i,σ (jω) do not coincide with either a mere predistortion applied to the polynomials eqs. ( 4) and (7) or their evaluation along s = σ + jω. The resulting expressions are in fact no longer polynomials in a single complex variable: conditions C i,σ (jω) are made by terms in the formf (s)f * (s) evaluated along jω withf (s) any of the σ-predistorted polynomials.…”
Section: B Bivariate Polynomials Approachmentioning
confidence: 99%
“…The coupling matrix synthesis and matrix rotation approach can be easily utilized once the characteristic polynomials of the filter have been identified. It is worth mentioning that one can also use reflection matrices for the similarity transformations to achieve the desired topology [10,11].…”
Section: Scope Motivations and Aimsmentioning
confidence: 99%
“…The flatness of group delay across the operating bandwidth of a filter [26], [27] is an important design requirement for many applications. On a conventional Cartesian plot of τ (ω), target masks are normally introduced to indicate its minimum and maximum allowable values, as seen in Fig.…”
Section: B Equalization Of Transmission Response Group Delaymentioning
confidence: 99%