%Marcos?Bolanos
%November?2011
%Compressive?Sensing?Example

%This?very?simple?example?of?L1?minimization?is?reproduced?for
%implementation?on?matlab.?The?original?example?was?posted?on?Rip‘s?Applied
%Mathematics?Blog?on?March?28?2011?entitled?“Compressed?Sensing:?the?L1
%norm?finds?sparse?solutions“.?

%One?needs?to?download?the?L1-MAGIC?package?in?order?to?perform?the?l1
%minimization?on?matlab.

%This?example?was?very?good?for?illustrating?how?L1?minimization?can
%identify?a?sparse?vector.?Here?x?is?the?sparse?vector.?A?is?the?kxN
%incoherent?matrix?and?B?are?the?coefficients.?The?example?shows?how?we?can
%find?the?original?x.?xp?should?be?approximately?equal?to?x.

s=RandStream（‘mt19937ar‘）;
RandStream.setDefaultStream（s）;
reset（s）;


?x=[0?0?0.319184?0?1.65857?0?0?0?-1.0439?

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件?????????920??2011-11-17?17:06??Compressive_Sensing.m
?????文件????????1335??2011-11-17?17:06??license.txt