Class Summary |
CompleteShuffledTPG |
Will generate a test pattern with all 2^I input vectors (where I is the nr. |
ConfigurableRandomInputMultiOutputExperiment |
Multiple Output Experiments allow many experiments sharing inputs to be bundled into the same one. |
CorrelationFitnessFunction |
Given desired output samples and actual output samples will calculate fitness as the
statistical correlation between them. |
ExperimentLib |
Provides common functionality used by many Experiment imlementations. |
MultiOutputExperiment |
Multiple Output Experiments allow many experiments sharing inputs to be bundled into the same one. |
MultipleSampleAvgFitnessFunction |
This Wrapper fitness function extracts multiple output samples from the actual output
by averaging values at certain points. |
NRepeatsTPG |
This Pattern Generator generates random input vectors at each step until all possible
2^I (where I is the nr. |
PerRowFitnessFunction |
Creates a single output series whose value is 0 for rows where every output in Q is equal to
those in desQ, and a 1 otherwise. |
PessimisticFitnessFunction |
If a test pattern of length TP is applied containing only V unique test vectors, then this
fitness function (FF) wrapper will provide a test pattern of length V to its internal FF with
a 1 where an output was equal to the desired at every application of the current test vector and
a 0 if at any application of that vector it was different. |
SimpleCorrelationFitnessFunction |
A variant of the CorrelationFitnessFunction, it requires less computation. |
SingleNoisySizeSampleAvgFitnessFunction |
Similar to the SingleSampleAvgFitnessFunction but with a varying size window. |
SingleSampleAvgFitnessFunction |
A single sample at the end of each session while inputs are applied is used as the ouptput
for that session, instead of using all inputSampleSeparation bits. |
SumFitnessFunction |
This fitness function calculates fitness as (correct bits/total bits) averaged over all outputs. |