Hi Brett, There is an implementation of this method that is available. I'd contact Bruce to get the latest version of the code (barch@xxxxxxxxxx). Last time I downloaded it, I got it from this site: http://ing.univaq.it/uaqemc/ As of early 2009, the latest version of the code was 1 D FSV 4.0.3L. Thanks Jason Grossman, Brett wrote: > Thanks Jason. > > I recall Bruce Archambeault of IBM referencing FSV in a DesignCon > presentation 4 or 5 years ago. As I understood it at the time, FSV seemed > like a very useful method to replicate the way engineers visually analyze > data (like what I describe as the eyeball method, but more > repeatable/consistent). Are you aware if anyone has made an implementation > of this method generally available? It would be cool to perform a comparison > between what folks use... > > Thanks again, > -Brett > > > > -----Original Message----- > From: Jason.R.Miller@xxxxxxx [mailto:Jason.R.Miller@xxxxxxx] > Sent: Monday, January 25, 2010 10:08 AM > To: Grossman, Brett > Cc: si-list@xxxxxxxxxxxxx > Subject: Re: [SI-LIST] model to measurement correlation - (taken from Re: 2D > vs 3D EM based signal integrity simulators) > > Feature Selective Validation (FSV) is a good technique for quantifying > the data comparison between simulated and measured s-parameters: > > https://www.dora.dmu.ac.uk/xmlui/handle/2086/279 > > Jason Miller > > Grossman, Brett wrote: > >> For my own curiosity... >> I've seen the term 'correlation' used a lot when considering whether >> s-parameter simulation results (a.k.a. model results) agree with >> measurements. I am curious as to what people on this list generally >> consider as correlation. >> >> To achieve a measure of 'correlation', what I've personally observed being >> applied much of the time is a technique we call "The Eyeball Method." Use >> of this technique is often characterized by the user making some statement >> like "you can 'see*' that the measured and simulated insertion loss curves >> are right on top of each other." I'd say in the majority of papers I review >> this is the method employed. >> >> [*hence the reason we call it the eyeball method] >> >> Probably the next most common method I've seen is to take a scalar >> difference between a measured and simulated response, and allow the residual >> to be the measure of agreement. This is probably the second most used >> method in papers I review, and it is a very distant second (IMHO). >> >> We presented a method based on EVM a couple years ago which maintains the >> vector nature of the data to a degree. It was meant to compare a simulation >> to a distribution of measurements, but has also been applied to one >> measurement vs. one simulation comparisons. >> >> There are other methods we've described in past papers, and I believe that >> all of these methods have their place. I don't think I could describe them >> as well as I can if I hadn't used them all myself, so I don't feel as if I >> am picking on anyone by asking a question. >> >> What I am curious about from this list is: >> >> >> 1. What method do you use to quantitatively describe the agreement between >> simulated and measured s-parameters? >> >> Any comments? >> >> Thanks, >> -Brett >> Brett Grossman >> Sr. Staff SI Engineer >> Signal Integrity Pathfinding - Sort Test Technology Development >> [cid:image001.gif@01CA9DA3.2E08F710]<http://www.linkedin.com/in/brettgrossman> >> >> >> >> ------------------------------------------------------------------ >> To unsubscribe from si-list: >> si-list-request@xxxxxxxxxxxxx with 'unsubscribe' in the Subject field >> >> or to administer your membership from a web page, go to: >> //www.freelists.org/webpage/si-list >> >> For help: >> si-list-request@xxxxxxxxxxxxx with 'help' in the Subject field >> >> >> List technical documents are available at: >> http://www.si-list.net >> >> List archives are viewable at: >> //www.freelists.org/archives/si-list >> >> Old (prior to June 6, 2001) list archives are viewable at: >> http://www.qsl.net/wb6tpu >> >> >> >> ------------------------------------------------------------------ To unsubscribe from si-list: si-list-request@xxxxxxxxxxxxx with 'unsubscribe' in the Subject field or to administer your membership from a web page, go to: //www.freelists.org/webpage/si-list For help: si-list-request@xxxxxxxxxxxxx with 'help' in the Subject field List technical documents are available at: http://www.si-list.net List archives are viewable at: //www.freelists.org/archives/si-list Old (prior to June 6, 2001) list archives are viewable at: http://www.qsl.net/wb6tpu