Recent content by thestrong

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    Matlab storing data and checking conditions

    clear all; close all; k=21; flag =0; allanswers=zeros(100,5); while(allanswers(21,:) ~= [0,0,0,0,0]) %need to add a for loop and flags for each variabled added for i =0:20 a=i; if flag ==1 break; end for j=0:20 b=j; if flag == 1 break; end for h =0:20 c= h; if flag == 1 break; end...
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    Matlab storing data and checking conditions

    Homework Statement clear all; close all; totalanswers=zeros(100,4); k= ; flag =0; for i =0:25 a=i; if flag ==1 break; end and so forth for a,b,c,d, etc for a finite set of values all have the break values too. x=[ a,b,c,d]; does some math calculationhere is a...
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    Engineering Electrical engineer jobs that aren't hardware based

    How do I find electrical engineering jobs that aren't hardware based? I am looking for jobs that are more software/programming/statistical based work. My undergraduate was in economics and mathematics. My masters is in electrical engineering with an emphasis in communications. When searching for...
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    Matlab code running loops to meet conditions

    I removed the while loop, which I do not think is actually necessary. It does have a workspace, but the code is breaking at an incorrect solution of S = 1 1 1 1 2 2 2 3 3 4 17 18 18 19 19 19 20 20 20 20. When it should be S = 1 2 3 ...20.
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    Matlab code running loops to meet conditions

    I tried that, but when I run the code my workspace is empty.
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    Matlab code running loops to meet conditions

    Oh yeah I forgot to code that. It is suppose to just stop when the condition is met that the entire G = {1,2,3,4,5,...20} is generated from the values of a,b,c,d,e and I just want the values of a,b,c,d,e.
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    Matlab code running loops to meet conditions

    Homework Statement This is not homework but I am trying to solve a problem to see to general a set of numbers for the grassmanian equations to use in something else.[/B] I have five variables a,b,c,d,e. a-b,a-c,a-d,a-e,b-a,b-c,...etc so that none of them are the same so it generates all...
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    Why Is My Massive MIMO Partial LSE Curve Not Smooth?

    I am not seeing why my curve is not smooth. I normalized the data so it is not due to that. The partial LSE just assumes all other channels are part of the noise term (i.e. it performs worse than the full LSE model). clear all; close all; clc; %Parameters M = 5; %base station antennas K = 8...
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