![]() On the other hand we must be aware of the fact that crossover design is subject to one major flaw which is elaborated below: A detailed discussion of this issue is given in one of our tutorial articles on crossover design. Therefore successful crossover design often depends on human factor only. ![]() This usually helps the optimization procedure find the proper components' 'solution'. In most cases we have to change our circuitry by adding extra components. However this optimization process may easily fail either if our design targets are impossible to fulfil or our circuit topology is too simple to realize them. ![]() In that sense no differences are expected to exist between different software implementations. Most crossover network software include an automatic optimization procedure which delivers the 'best' set of component values for a given set of design targets and circuit topology. The designer is expected to change filter component values in a repetitive manner and in a way that gets simulated responses closer to design targets. ![]() This allows for the prediction (simulation) of overall speaker SPL responses which -in turn- verify whether design targets have been achieved or not. Generally speaking crossover design software combines loudspeaker SPL responses (that we have previously measured) with filter circuit data (also defined by us, the designers).
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