adaptive_filt.m -> implements adaptive whitening scheme.

est_spect.m -> Produces periodogram estimate of power spectrum of input signal (rectangular window). 

calib_wrap.m -> combines all EMG normalizations for one subject into a
single FMC structure.  In the case of multiple contractions of the
same muscle (for instance biarticular muscles) the maximum 
normalization value is returned.  If requested, sample "on" and
"off" stretches are provided for Weiner filtering. 

loadEMG.m -> loads the EMG data stored in a .mat file produced by
the Harvard/Bertec setup.  If requested it also determines the
heel strike and toe off times for both feet.  Its output is a
data structure.  

preprocess1.m -> takes input EMG data and performs the following
processing steps:
1.)  Remove DC offset (mean).
2.)  Clip motion artifacts (> 5 s.d. spikes).
3.)  Full-wave rectify.
4.)  Normalize by peak EMG.
It produces the input for the Sanger-Zajac activation estimation method. 

process_calib.m -> determines EMG normalization constants from the
input static contraction trials.  If requested it also provides 
sample "on" and "off" stretches of muscle contraction for Weiner
filtering.

test_whiten.m -> small script for examining the effect of adaptive whitening scheme.

wavmot.m -> explores the EMG signal in the time-frequency domain.

whiten.m 0?