nt_unique

PURPOSE

[C,IA,IC,N] = nt_unique(A, varargin) - unique with counts

SYNOPSIS

function [C,IA,IC,N] = nt_unique(A, varargin)

DESCRIPTION

[C,IA,IC,N] = nt_unique(A, varargin) - unique with counts

  N: number of occurrences

 See unique for definition of other variables.
 
 NoiseTools

CROSS-REFERENCE INFORMATION

This function calls:

This function is called by:

nt_inpaint function y=nt_inpaint(x,w) - weighted interpolation based on correlation structure
nt_outliers [w,y]=nt_outliers(x,w,thresh,niter) - detect outliers based on weighted correlation structure
nt_star2 [y,w,ww]=nt_star2(x,thresh,closest,w) - sensor noise suppression

SOURCE CODE

0001 function [C,IA,IC,N] = nt_unique(A, varargin)
0002 %[C,IA,IC,N] = nt_unique(A, varargin) - unique with counts
0003 %
0004 %  N: number of occurrences
0005 %
0006 % See unique for definition of other variables.
0007 %
0008 % NoiseTools
0009 
0010 [Asorted,iSort]=sortrows(A);
0011 [~,iReverse]=sort(iSort);
0012 [C,IA,IC]=unique(Asorted,varargin{:});
0013 p=find([1;diff(IC);1]);  
0014 N=diff(p); 
0015 
0016 IA=iSort(IA);
0017 IC=IC(iReverse);