function?varargout?=?localMaximum（xminDist?exculdeEqualPoints）
%?function?varargout?=?localMaximum（xminDist?exculdeEqualPoints）
%
%?This?function?returns?the?indexes\subscripts?of?local?maximum?in?the?data?x.
%?x?can?be?a?vector?or?a?matrix?of?any?dimension
%
%?minDist?is?the?minimum?distance?between?two?peaks?（local?maxima）
%?minDist?should?be?a?vector?in?which?each?argument?corresponds?to?it‘s
%?relevant?dimension?OR?a?number?which?is?the?minimum?distance?for?all
%?dimensions
%
%?exculdeEqualPoints?-?is?a?boolean?definning?either?to?recognize?points?with?the?same?value?as?peaks?or?not
%?x?=?[1?????2?????3?????4?????4?????4?????4?????4?????4?????3?????3?????3?????2?????1];??
%??will?the?program?return?all?the?‘4‘?as?peaks?or?not?-??defined?by?the?‘exculdeEqualPoints‘
%?localMaximum（x3）
%?ans?=?
%??????4?????5?????6?????7?????8?????9????11????12
%
%??localMaximum（x3true）
%?ans?=
%??????4?????7????12
%??????
%
%?Example:
%?a?=?randn（1003010）;
%?minDist?=?[10?3?5];
%?peaks?=?localMaximum（aminDist）;
%?
%?To?recieve?the?subscript?instead?of?the?index?use:
%?[xIn?yIn?zIn]?=?localMaximum（aminDist）;
%
%?To?find?local?minimum?call?the?function?with?minus?the?variable:
%?valleys?=?localMaximum（-aminDist）;

????if?nargin?????????exculdeEqualPoints?=?false;
????????if?nargin??????????