# How to assign pair of values to a single aeeay in the matrix using two different vectors

2 vues (au cours des 30 derniers jours)
Yogesh le 30 Juin 2024
Modifié(e) : Voss le 30 Juin 2024
fsine=50e6:0.4e9:3e9;
Vp=0:0.5:3;
I need to form a matrix such that columns correspons to different Vp for a single fsine.
the first column should be for fsine=50e6 for all values for Vp and second column should be fsine=50e6+0.1e9 for all values in Vp
The final vector should be have 7 rows and 8 columns.
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### Réponses (2)

sai charan sampara le 30 Juin 2024
Hi Yogesh
fsine=50e6:0.4e9:3e9
fsine = 1x8
1.0e+09 * 0.0500 0.4500 0.8500 1.2500 1.6500 2.0500 2.4500 2.8500
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Vp=0:0.5:3
Vp = 1x7
0 0.5000 1.0000 1.5000 2.0000 2.5000 3.0000
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M=zeros(7,8);
for idx1=1:7
for idx2=1:8
M(idx1,idx2)=sin(fsine(idx2)*Vp(idx1));
end
end
M
M = 7x8
0 0 0 0 0 0 0 0 -0.4668 0.9423 -0.9201 0.4119 0.3139 -0.8739 0.9723 -0.5571 0.8256 0.6309 -0.7208 -0.7507 0.5960 0.8497 -0.4548 -0.9253 -0.9935 -0.5200 0.3554 0.9562 0.8179 0.0476 -0.7595 -0.9797 0.9316 -0.9790 0.9992 -0.9919 0.9572 -0.8960 0.8101 -0.7018 -0.6543 -0.1354 0.4274 0.8516 0.9997 0.8237 0.3806 -0.1859 0.2256 0.8883 -0.6644 -0.5600 0.9411 0.0951 -0.9881 0.3931
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Chuguang Pan le 30 Juin 2024
fsine = 50e6:.4e9:3e9;
Vp = 0:.5:3;
M=sin(Vp.'*fsine)
M = 7x8
0 0 0 0 0 0 0 0 -0.4668 0.9423 -0.9201 0.4119 0.3139 -0.8739 0.9723 -0.5571 0.8256 0.6309 -0.7208 -0.7507 0.5960 0.8497 -0.4548 -0.9253 -0.9935 -0.5200 0.3554 0.9562 0.8179 0.0476 -0.7595 -0.9797 0.9316 -0.9790 0.9992 -0.9919 0.9572 -0.8960 0.8101 -0.7018 -0.6543 -0.1354 0.4274 0.8516 0.9997 0.8237 0.3806 -0.1859 0.2256 0.8883 -0.6644 -0.5600 0.9411 0.0951 -0.9881 0.3931
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Voss le 30 Juin 2024
Modifié(e) : Voss le 30 Juin 2024
fsine=50e6:0.4e9:3e9;
Vp=0:0.5:3;
result = repmat(Vp(:),1,numel(fsine))
result = 7x8
0 0 0 0 0 0 0 0 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.5000 1.5000 1.5000 1.5000 1.5000 1.5000 1.5000 1.5000 2.0000 2.0000 2.0000 2.0000 2.0000 2.0000 2.0000 2.0000 2.5000 2.5000 2.5000 2.5000 2.5000 2.5000 2.5000 2.5000 3.0000 3.0000 3.0000 3.0000 3.0000 3.0000 3.0000 3.0000
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