The other question is what you want to adapt to? As others pointed out, the Init function modifies the impulse response of the channel, so adaptation or optimization is based on the channel's characteristics. There is no bit pattern involved. Since channels usually don't change with time (they are Time Invariant), doing this in the Init function just once is sufficient. If you want the filters to adapt to the bit pattern as the pattern might change in time, you will need to do things in GetWave, since that is the only function which deals with the bit pattern. Thanks, Arpad ========================================================== From: ibis-macro-bounce@xxxxxxxxxxxxx [mailto:ibis-macro-bounce@xxxxxxxxxxxxx] On Behalf Of Todd Westerhoff Sent: Tuesday, March 25, 2014 1:29 PM To: IBIS-ATM Subject: [ibis-macro] Re: Adaptive Equalization in Statistical Simulations Greg, To a degree, it depends on what you mean by "adaptive". More specifically, it depends on whether you mean "adapt once" or "adapt continually". AMI models can modify their equalization based on the impulse response passed in (and thus support Statistical Analysis). This has been the case since 2008. Notice, however, that the adaptation is a one-time deal, because the impulse response is only passed in once. Continual adaptation - i.e. the length of time it takes taps to settle, and tap drift, can only be modeled in Time-Domain analysis, because you actually need to be processing lots of bits to do that. Does that help? Todd. Todd Westerhoff VP, Semiconductor Relations Signal Integrity Software Inc. * www.sisoft.com<http://www.sisoft.com> 6 Clock Tower Place * Suite 250 * Maynard, MA 01754 (978) 461-0449 x124 * twesterh@xxxxxxxxxx<mailto:twesterh@xxxxxxxxxx> "I want to live like that" -Sidewalk Prophets From: ibis-macro-bounce@xxxxxxxxxxxxx<mailto:ibis-macro-bounce@xxxxxxxxxxxxx> [mailto:ibis-macro-bounce@xxxxxxxxxxxxx] On Behalf Of Gregory R Edlund Sent: Tuesday, March 25, 2014 2:09 PM To: IBIS-ATM Subject: [ibis-macro] Adaptive Equalization in Statistical Simulations It is my understanding that adaptive equalization is not possible in AMI statistical simulations. To model adaptive equalization, I need to first run a short transient simulation, load the RX tap settings from that simulation into the model-specific parameters, and then run a statistical simulation. Question: what is it about modifying the impulse response that prevents RX adaptive equalization in statistical simulations? Thanks in advance for your time. Greg Edlund Senior Engineer Signal Integrity and System Timing IBM Systems & Technology Group 3605 Hwy. 52 N Bldg 050-3 Rochester, MN 55901