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

조회 수: 4 (최근 30일)
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.

답변 (2개)

charan
charan 2024년 6월 30일
Hi Yogesh
The following code might help you:
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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  댓글 수: 1
Chuguang Pan
Chuguang Pan 2024년 6월 30일
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
Voss 2024년 6월 30일
편집: Voss 2024년 6월 30일
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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