BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:US/Eastern BEGIN:DAYLIGHT DTSTART:20240310T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20240111T062803Z UID:5C6E1BF3-1BCC-44C3-9D89-B80E20BC9612 DTSTART;TZID=US/Eastern:20231114T120000 DTEND;TZID=US/Eastern:20231114T130000 DESCRIPTION:Microwave Filter Synthesis and Tuning: What Circuit and Approxi mation Theory Can Do for You ([Register now](https://www.naylornetwork.com /mtt-mkt2019/email01.asp?projid=131690))\n\nThis presentation is based on Microwave Filter Synthesis and Tuning\, used in designing electronic circu its and systems. Whereas microwave filters are by construction distributed structures\, they are infinite dimensional linear dynamical systems. When roughly tuned\, they admit a remarkable finite dimensional approximation based on lumped elements\, namely their circuital approximation. This expl ains the success of the synthesis approach developed by G. Matthaei and pu rsued by authors like R.J. Cameron who refined and further developed the m odel known now as the coupling matrix approach.\n\nWhile tuning a filter\, it is therefore natural to try to fit a circuit to measured data in order to infer pertinent dimensional correction from it. The first step in this direction is to perform a rational approximation of the 2x2 filter's resp onse at a given MacMillan degree: a task belonging to approximation theory . In this talk\, we will review methods developed in the last decade to do so\, in particular bounded analytical extension techniques followed by Ha nkel norm approximation approaches. Some details will be given on how to s olve the phase loading problem which is inevitable when dealing with filte r measurements. Eventually\, the realization step consisting of constructi ng a circuit with a particular topology representing the previously obtain ed rational matrix will be discussed. Compatibility conditions will be giv en for the solvability of this polynomial\, multivariate nonlinear problem . Eventually\, techniques from computer algebra will be presented in order to obtain an effective approach.\n\nCo-sponsored by: IEEE North Jersey Se ction\n\nSpeaker(s): Fabien Seyfert\, \n\nVirtual: https://events.vtools.i eee.org/m/380730 LOCATION:Virtual: https://events.vtools.ieee.org/m/380730 ORGANIZER:akpoddar@ieee.org SEQUENCE:26 SUMMARY:Microwave Filter Synthesis and Tuning: what circuit and approximati on theory can do for you URL;VALUE=URI:https://events.vtools.ieee.org/m/380730 X-ALT-DESC:Description: <br /><p><span style="font-size: 14pt\;">Microwave Filter Synthesis and Tuning: What Circuit and Approximation Theory Can Do for You (<strong><a href="https://www.naylornetwork.com/mtt-mkt2019/email0 1.asp?projid=131690">Register now</a></strong>)</span></p>\n<p>This presen tation is based on Microwave Filter Synthesis and Tuning\, used in designi ng electronic circuits and systems.&nbsp\;Whereas microwave filters are by construction distributed structures\, they are infinite dimensional linea r dynamical systems. When roughly tuned\, they admit a remarkable finite d imensional approximation based on lumped elements\, namely their circuital approximation. This explains the success of the synthesis approach develo ped by G. Matthaei and pursued by authors like R.J. Cameron who refined an d further developed the model known now as the coupling matrix approach.&n bsp\;</p>\n<p>While tuning a filter\, it is therefore natural to try to fi t a circuit to measured data in order to infer pertinent dimensional corre ction from it. The first step in this direction is to perform a rational a pproximation of the 2x2 filter's response at a given MacMillan degree: a t ask belonging to approximation theory. In this talk\, we will review metho ds developed in the last decade to do so\, in particular bounded analytica l extension techniques followed by Hankel norm approximation approaches. S ome details will be given on how to solve the phase loading problem which is inevitable when dealing with filter measurements. &nbsp\;Eventually\, t he realization step consisting of constructing a circuit with a particular topology representing the previously obtained rational matrix will be dis cussed. Compatibility conditions will be given for the solvability of this polynomial\, multivariate nonlinear problem. Eventually\, techniques from computer algebra will be presented in order to obtain an effective approa ch.</p> END:VEVENT END:VCALENDAR