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¥So are these results good?
¥stim A:  h[ 0] norm. std. dev. =   0.0010
stim B:  h[ 0] norm. std. dev. =   0.0009
stim C:  h[ 0] norm. std. dev. =   0.0011
GLT #1:  LC[0] norm. std. dev. =   0.0013
GLT #2:  LC[0] norm. std. dev. =   0.0012
GLT #3:  LC[0] norm. std. dev. =   0.0013
¥And repeatÉ  see the script:  AFNI_data1/ht03/@stim_analyze
_review the script details:
"100 iterations, incrementing random seed, storing results in separate files
"only the random number seed changes over the iterations
_execute the script via command:  ./@stim_analyze
_"best" result: iteration 039 gives the minimum sum of the 3 GLTs, among all 100 random designs (see file stim_results/LC_sums)
_the 3dDeconvolve output is in  stim_results/3dD.nodata.039
¥Recall the Goal: to design an effective random stimulus presentation (while preserving statistical power)
_Solution: the files stim_results/RSF.stim.039.*.1D
"RSF.stim.039.1.1D  RSF.stim.039.2.1D  RSF.stim.039.3.1D12