nt_greetings

PURPOSE

SYNOPSIS

DESCRIPTION

nt_greetings - display message the first time the toolbox is used

CROSS-REFERENCE INFORMATION

• nt_version

• nt_bsplot nt_bsplot(x,w,style,abscissa,zeroflag,rmsflag) - plot average with bootstrap standard deviation
• nt_cca [A,B,R]=nt_cca(x,y,shifts,C,m,thresh,demeanflag) - canonical correlation
• nt_cell2mat y=nt_cell2mat(x) - convert cell matrix of nD matrices to (n+1)D matrix
• nt_deboing y=nt_deboing(x,events) - fit, remove ringing associated with events
• nt_destep [y,stepList]=nt_destep(x,thresh,guard,depth,minstep) - remove step glitch from MEG data
• nt_detrend (original) [y,w,r]=nt_detrend(x,order,w,basis,thresh,niter,wsize) - robustly remove trend
• nt_detrend [y,w,r]=nt_detrend(x,order,w,basis,thresh,niter,wsize) - robustly remove trend
• nt_double2int nt_double2int() - recode/decode double as integer to save space
• nt_dss0 [todss,pwr1,pwr2]=nt_dss0(c0,c1,keep1,keep2) - dss from covariance
• nt_epoch y=nt_epochify(x,idx,bounds) - extract epochs based on trigger indices
• nt_eyeblink [y,z,mask]=nt_eyeblink(x,eyechans,nremove) - project out eyeblinks
• nt_idx_disp nt_idx_disp(name,field,explainflag) - display contents of index file
• nt_idxx nt_idxx(fname,p) - create an index file to summarize large data file
• nt_index [status,p]=nt_index(name,p,forceUpdate) - index data files & directories
• nt_inpaint function y=nt_inpaint(x,w) - weighted interpolation based on correlation structure
• nt_interpolate_bad_channels y=interpolate_bad_channels(x,iBad,coordinates,n) - interpolate bad channels from good
• nt_iplot [hh,ii]=nt_iplot(fname) - plot data file based on index
• nt_morton [iMorton,toMorton]=nt_morton(nrows,ncols) - indices for Morton scan of image
• nt_multismooth z=nt_multismooth(x,smooth,alignment,diff_flag) - apply multiple smoothing kernels
• nt_narrowband_scan A=nt_narrowband_scan(x,freqs,sr,Q,plotflag) - scan for narrowband components using DSS
• nt_outliers [w,y]=nt_outliers(x,w,thresh,niter) - detect outliers based on weighted correlation structure
• nt_pca [z,idx]=nt_pca(x,shifts,nkeep,threshold,w) - time-shift pca
• nt_plotxx nt_plotxx(fname,bounds,chans) - plot using index file
• nt_proximity [closest,d]=nt_proximity(coordinates,N) - distance to neighboring channels
• nt_resample_interp1 y=resample_interp1(x,p,q,method) - Resample using interp1 (no antialiasing)
• nt_sgram [s,f,t]=nt_sgram(x,window,noverlap,nfft,sr,flags) - spectrogram
• nt_smooth y=nt_smooth(x,T,nIterations,nodelayflag) - smooth by convolution with square window
• nt_sns y=nt_sns(x,nneigbors,skip,w) - sensor noise suppression
• nt_sns_cluster y=nt_sns_cluster(x,nneigbors,cluster_size) - sensor noise suppression within clusters
• nt_star [y,w,ww]=nt_star(x,thresh,closest,depth) - sensor noise suppression
• nt_star2 [y,w,ww]=nt_star2(x,thresh,closest,w) - sensor noise suppression
• nt_tsr [y,idx,w]=nt_tsr(x,ref,shifts,wx,wref,keep,thresh) - time-shift regression (TSPCA)
• nt_zapline [y,yy]=nt_zapline(x,fline,nremove,p,plotflag) - remove power line artifact

SOURCE CODE

0001 function nt_greetings(reset)
0002 %nt_greetings - display message the first time the toolbox is used
0003 
0004 persistent nt_greeted
0005 if nargin>0; nt_greeted=reset; return; end
0006 
0007 if isempty(nt_greeted)
0008     
0009     display(' ')
0010     display(['NoiseTools, version ',nt_version]);
0011     display('http://audition.ens.fr/adc/NoiseTools');
0012     display('Please cite relevant methods papers.');
0013     display(' ');
0014     
0015     nt_greeted=1;
0016     
0017 end