Complex or sparse input following 'like' is not supported

30 Oct 2023
1 Réponse
Réponse acceptée
Mise à jour 30 Oct 2023
8 Vues (30 jours)

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randn(100, 'like', 1j);
Error:
Error using randn
Complex or sparse input following 'like' is not supported.
Could anyone suggest alternative or solutions to solve the same ?.
Matlab version: 'Matlab 2020a'

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Dyuman Joshi
Dyuman Joshi le 30 Oct 2023
Modifié(e) : Dyuman Joshi le 30 Oct 2023
Ran in:
Ran in:
Try "1i" -
y = randn(100, "like", 1i)
y =
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0.9200i 0.6338 + 0.5384i 0.5353 - 1.1253i -0.4442 + 0.8939i 0.0763 - 1.9177i -0.0485 + 1.0011i 0.0926 + 1.4147i 0.0163 + 0.7090i 0.7048 - 0.2003i -0.0311 - 1.1866i -0.1886 + 0.7359i -0.5303 + 0.1588i -1.2327 - 1.1216i -0.1075 - 0.6320i -0.4063 - 0.2068i -1.0396 - 0.0647i -0.2302 - 0.5758i -1.0373 - 0.0286i -0.3124 + 0.5914i 0.9228 - 0.7263i -0.8519 - 0.8016i 0.1799 + 0.2439i 0.6496 + 0.6544i -0.7057 - 0.0338i 1.0717 - 0.6014i -0.0954 + 0.5363i -0.5563 + 0.3161i -0.3469 + 0.1093i -0.6668 - 0.0062i -1.0314 + 0.0533i -0.2663 + 0.0402i -0.0679 - 0.3743i -0.2405 + 0.7302i -0.5727 + 0.5447i 0.3520 - 0.0771i 0.5146 + 0.5773i 0.2975 - 0.2469i 1.0637 + 0.5839i -0.1552 + 0.6736i -1.9674 - 0.5622i 0.1594 + 0.2644i -0.9454 - 0.0123i -0.5607 - 0.5942i 1.1511 - 0.9680i -0.9899 + 0.4828i 0.1753 + 0.2282i -1.7654 - 0.6082i -1.2049 - 0.9849i -1.3253 + 0.7965i -0.5040 + 0.6142i 0.7960 - 0.4195i -0.4219 - 0.8498i 0.2134 - 0.3320i 0.0425 + 0.3505i -0.0522 + 0.5878i 1.0298 - 0.9723i 1.4544 - 0.9629i 0.7373 - 0.4265i 0.1874 + 0.3267i 0.4381 - 0.8031i -0.1069 - 0.6620i 0.8097 + 0.4686i -0.6135 - 0.7517i 0.4666 - 1.3320i -0.4883 + 0.3521i 0.6123 - 0.3751i -0.4722 + 0.6310i -0.1821 - 0.6454i -0.3199 - 0.7934i -1.4217 - 1.8393i 0.1079 - 0.2025i -0.9978 - 0.3445i 0.5961 + 1.4832i 0.3065 + 0.4069i 1.7470 - 0.3493i 0.7860 + 0.7589i -1.8567 - 0.2319i -0.3150 + 0.2703i -0.9744 + 0.1783i -0.0742 + 0.4112i -0.3436 - 0.7691i 0.7505 + 0.4429i 0.4259 - 0.1457i -0.8633 - 0.5263i 1.1771 + 0.8254i 0.6731 + 1.2702i -0.5817 + 0.1257i -0.1161 - 0.7066i 0.0063 + 1.1094i 0.1343 - 0.7054i 0.3152 + 1.1938i 0.1835 - 0.3732i -0.9754 + 0.2563i 0.5218 - 1.5682i 0.2651 - 0.0598i 0.4064 + 1.2630i 0.3125 - 0.3445i -0.3487 - 0.5789i 0.7380 - 0.3134i -0.0462 + 0.6584i 1.0600 - 0.8512i 0.2782 - 0.4543i -0.0834 - 0.7457i -0.5365 + 0.5925i 0.5784 - 0.7890i 0.0061 + 0.0142i -0.3776 - 0.1721i -0.8594 - 1.1942i 0.2468 - 0.5600i -0.6594 + 0.3585i 0.1905 + 1.3738i 0.0894 + 0.4589i -1.1989 + 0.5278i -1.1775 - 0.8839i -0.0851 - 0.6964i 0.0018 + 0.0647i -0.2833 + 0.0699i 0.1237 - 0.2723i -0.2209 - 0.2853i -0.0941 - 0.3445i -0.7060 + 0.5049i 0.7584 + 0.2142i -1.0023 + 0.0403i -1.0498 + 0.7912i 0.7109 + 0.6415i -0.1651 - 1.0368i -0.9490 - 0.5998i -0.3214 + 0.0699i 1.0306 + 0.6242i -0.5301 + 0.7062i -0.9475 - 0.4545i 1.1140 + 0.8959i 0.9188 + 0.2550i 0.1018 + 0.5617i -0.1148 - 0.6097i -0.3106 - 0.2481i 0.4092 - 0.6287i -0.4779 - 1.6804i -1.0870 + 0.0735i -0.9803 - 0.5458i 0.7713 - 0.6702i -0.9497 + 1.1059i -0.9912 + 0.2520i -0.5803 - 2.2109i 0.4879 + 2.0561i -0.2218 - 0.1205i -0.0761 + 0.3764i 0.1722 - 1.0379i 1.6039 - 0.8197i -0.5156 + 0.9576i 0.1014 + 1.8227i 0.2152 - 0.2886i -0.5210 - 0.8877i -0.6128 - 0.6698i -1.1249 - 0.6639i 0.6794 - 0.6850i 0.1850 - 1.1869i -0.1063 + 0.5870i -0.4209 + 0.3475i -0.0932 - 0.2862i 0.2418 + 0.1964i -0.7452 - 0.1876i 0.6603 - 0.3173i -0.2657 - 0.1910i -0.5767 - 0.7317i -0.1232 - 0.2972i 1.4892 - 0.5716i 1.4107 - 0.0946i 0.1422 + 0.5182i Columns 11 through 20 1.6607 - 0.8202i 0.1948 - 0.0527i 1.0367 - 0.2068i -0.3921 + 0.4422i -1.4141 - 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0.0927i 0.2155 + 0.7265i -1.0919 - 0.8139i 0.1863 - 1.3645i -0.8936 + 0.0717i 0.6887 - 0.2973i 0.3324 + 0.4626i -1.0911 - 0.3033i -0.9858 - 1.1805i -0.1544 + 0.4848i -0.3809 + 1.6432i 0.1140 - 0.8768i -0.2101 + 0.2913i -0.2324 - 1.2967i 0.9768 + 0.4056i -0.6595 - 0.2458i 0.0986 - 0.0747i -0.1663 + 0.3892i 0.7279 - 0.5357i -0.6637 - 0.7583i 1.0814 - 0.1777i 0.7235 + 0.6070i 0.0195 - 0.8159i -0.3397 + 0.9128i -0.8971 - 0.1110i 0.0358 + 0.2310i -0.6116 - 0.3746i -0.4088 + 0.2265i 0.3766 - 0.6146i -0.4528 - 1.0708i 0.0729 - 0.2620i 0.2646 + 0.1475i 1.5076 + 0.0223i -0.1318 - 0.3615i 0.0330 + 0.3139i 0.0484 + 0.0711i 0.7365 - 0.1439i 0.0375 + 1.3990i -0.6993 + 0.2433i 0.6699 - 0.5120i 1.2224 + 0.1677i 0.6431 + 0.0083i 0.2254 + 0.8468i 0.2265 + 0.6999i 1.1186 + 0.7210i -0.4686 - 0.6726i 1.0604 + 0.4265i -0.6627 - 0.5710i -1.2715 + 0.4615i 1.5494 - 0.7144i 0.5159 - 0.6289i -0.0009 - 0.2814i 0.1597 + 0.4368i -0.3329 - 0.4684i -0.8960 - 0.3252i 0.7112 + 0.1735i 0.4148 - 1.2087i 0.0245 - 0.3847i 1.4464 + 1.4531i -0.7892 + 0.8600i 0.5922 - 0.6819i -0.0924 - 0.6276i 1.9015 - 0.4374i -0.6496 - 1.0051i 0.5356 + 0.2316i -0.1918 + 0.1335i 0.0582 - 0.2598i -0.3519 + 0.1861i 0.7687 + 0.2072i -1.4976 - 0.7210i -0.1020 + 0.6065i 0.7303 + 0.9878i 0.3029 - 0.3812i 0.5004 - 0.1125i 0.3780 - 0.7120i 0.1537 - 0.2700i 0.2854 + 0.9341i 0.4380 + 1.9643i -1.2213 - 0.6521i 0.4780 - 0.2486i 0.4292 + 0.1233i 1.2367 + 0.1181i 1.3416 + 0.5222i 0.0016 - 0.3061i -0.0982 - 0.6260i 0.3816 - 0.2862i 0.3640 - 0.2782i -0.0632 + 0.0919i 1.1025 - 0.1441i 0.3732 + 1.0368i -0.9228 - 1.4807i -0.0046 - 1.0229i 0.3052 + 0.9273i -0.5801 + 0.8428i 1.9332 - 0.2256i -0.6490 + 1.3086i -0.7496 - 0.3693i 0.0361 - 0.2513i 1.0128 - 0.4452i 0.1002 + 0.5286i 0.7684 + 0.2987i -0.0098 + 0.6440i 1.0941 - 0.9268i 1.1173 - 0.1916i 0.2956 + 0.5103i 0.1829 + 0.1720i 0.3682 + 0.0319i -0.4647 + 1.7669i -0.5607 - 0.8999i 0.4317 - 0.1543i -0.0335 + 0.5223i -0.4734 + 1.0559i -0.6938 + 0.6674i -0.2523 + 0.5377i -0.1851 + 0.2089i -0.5994 - 0.1294i 1.3758 + 0.3665i -0.3230 + 0.2941i 0.2994 + 0.0652i -0.1834 - 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Matlab111
Matlab111 le 30 Oct 2023
Déplacé(e) : Dyuman Joshi le 30 Oct 2023
Thanks, but Still I face the same error, I'm using 2020a, FYI
randn(100, "like", 1i)
Error using randn
Complex or sparse input following 'like' is not supported.
DGM
DGM le 30 Oct 2023
Déplacé(e) : Dyuman Joshi le 30 Oct 2023
Ran in:
Ran in:
I don't know why it wouldn't work with 1j just the same. Maybe something else is going on.
y = randn(100, 'like', 1j)
y =
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1.1015i 0.6845 - 0.7281i -1.4672 + 0.1729i 0.9764 + 0.5609i -0.7934 + 0.7816i 1.4053 - 0.8241i 0.9076 - 1.2481i -0.2409 + 0.5403i -0.0407 + 0.9970i 1.5089 + 0.0498i 0.1047 - 1.1877i -0.8724 + 0.8160i 0.6196 + 0.7548i 1.7381 + 0.1147i 0.4930 - 0.6186i -0.7653 + 0.1321i 0.4611 + 0.2224i 0.3212 + 0.4386i -0.0176 - 0.5675i 0.3950 - 0.4977i -0.3713 - 1.4460i -0.6144 - 0.4560i 0.8214 + 0.2732i 0.7043 - 1.0694i 0.8558 - 0.0012i 0.2326 - 1.1255i 0.0671 + 0.7902i -0.2306 + 0.0004i -0.5130 + 0.0497i -0.5296 - 0.0670i -1.2943 + 0.2830i 0.5882 + 0.5428i 0.7570 - 0.2963i -1.0689 - 0.4826i 0.7708 - 0.0827i 0.7082 - 0.4686i -0.6286 - 0.0745i 0.1105 - 0.8558i 0.0471 + 1.0406i -0.0019 - 1.2948i -0.3709 - 0.6009i -0.7380 - 0.6278i 0.1276 + 0.5022i -0.6794 - 0.2755i 0.7030 + 0.1230i -0.9847 + 0.4013i 1.3167 - 0.4179i -1.8801 + 0.2856i 0.1632 + 1.1143i -0.2688 + 0.2282i 0.7237 - 0.8915i 1.3389 - 1.0073i -0.3554 + 0.8693i 1.2659 + 0.3113i 0.3948 + 1.0865i 0.1963 - 0.4959i -0.3867 + 1.6123i 0.1165 - 0.2502i 0.3626 - 0.0438i -0.4087 + 0.6025i 0.6650 - 0.3028i -0.2954 + 0.1464i 1.4687 + 0.4720i -0.3837 - 1.3769i 0.8704 - 0.4143i 2.2099 + 0.0231i -0.0201 - 0.6799i -1.8013 - 0.1839i 0.5691 + 1.0003i -1.3372 - 0.9624i 0.0929 - 0.3136i -0.0071 - 0.0679i -0.8702 - 0.5263i 0.6697 + 0.0168i 0.5699 - 0.1434i 1.2229 - 0.3979i -0.3904 - 1.0015i 1.1331 + 1.0733i -0.5706 - 1.1669i -0.0644 - 0.1724i 0.7102 + 0.2856i 1.0218 + 0.1418i -0.6721 - 0.8910i 0.2787 + 0.5394i 0.5146 - 0.3560i 0.8900 + 0.8308i 0.1641 + 0.2206i 0.1808 - 0.6334i 0.0587 + 0.4995i -0.8774 - 0.7553i -0.5693 + 1.1542i 0.3260 - 1.3597i 0.0342 - 0.2393i -0.1468 - 0.2849i 0.1138 + 0.4544i -0.8041 + 0.1749i 0.5040 + 0.5711i 0.6879 - 0.4825i -0.5643 - 0.9762i 0.5918 - 0.0858i 0.1078 - 0.4960i 0.2919 - 1.4010i 2.2732 - 0.7364i -0.7746 - 1.3289i 0.7780 + 0.0721i 1.0183 + 0.1151i -0.1475 + 0.1076i 0.8399 - 0.5387i -0.7784 + 0.7611i 0.9159 - 0.5138i -0.0704 + 0.0508i 1.2434 + 0.0646i -1.6384 + 0.5988i -0.6325 + 0.0474i -1.3207 + 0.2573i 0.9333 + 0.6922i 0.0295 - 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0.1977i 0.6661 + 1.3970i -0.4903 - 0.5920i 0.0386 + 0.9903i 0.5733 + 0.3420i Columns 21 through 30 0.9959 + 0.4958i -0.1973 - 0.5908i -0.2973 + 1.5554i 0.8747 + 0.1864i -0.3013 - 1.0358i 0.8815 + 0.3437i -0.6165 - 0.2815i -1.2764 - 0.8400i 0.3814 - 0.5126i 0.0302 + 0.2233i -0.1341 - 0.3509i 0.0446 + 0.0033i -0.9574 - 0.1219i 0.0780 + 0.3300i 0.1048 - 0.0038i 0.0210 + 0.1577i -1.1099 + 0.4947i -0.5052 - 0.5756i 0.6224 + 0.8243i 0.1407 + 0.6184i -1.2177 + 1.0263i 0.2090 + 0.6205i 0.6632 + 1.1056i -0.2118 - 0.0689i 0.7750 - 1.0804i 0.5480 - 0.4596i -1.4668 + 1.0087i 0.8599 + 0.8270i -0.7758 + 0.1764i -0.1995 - 0.3921i -1.3524 + 0.8098i 0.2446 + 0.4909i 0.3494 + 1.0998i 0.2706 + 1.5384i -1.4732 - 0.4892i 0.0785 - 0.3859i -0.3073 - 1.0290i 0.2546 - 0.5358i 0.3561 + 0.6970i 0.9150 + 0.2329i 0.9299 - 0.3541i 0.4695 - 0.3007i 0.9847 + 0.6214i 0.2608 - 0.1384i -0.4413 - 0.2175i -0.2977 + 0.8298i -0.1610 - 0.5481i 0.2193 - 0.9925i 0.7313 + 0.4005i -0.1353 + 0.4674i -0.3844 - 0.0659i 0.5164 - 0.1481i -0.5648 + 0.6134i 0.0143 - 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0.9156i 0.1919 - 0.5775i 1.2133 - 0.0026i 0.3019 - 0.1425i -0.5470 + 0.2443i 0.0015 + 1.0428i 0.6147 - 0.3987i -0.5357 - 0.3703i 1.0828 + 0.6031i -0.2239 + 0.2569i -0.0596 - 0.1534i 0.7760 - 0.9372i 0.0259 - 1.3821i 1.1494 + 1.2156i -0.1646 + 0.7756i -0.5954 - 0.0930i -0.7942 + 0.4625i 0.3262 + 0.7903i -0.3081 - 0.3339i -0.3874 - 1.0234i 0.6940 - 0.5279i -1.0002 + 0.5178i -0.9295 + 0.8375i -0.3463 + 0.1852i -0.2863 - 0.5635i 1.6534 - 0.6325i 1.6729 + 0.2714i
Matlab111
Matlab111 le 30 Oct 2023
Déplacé(e) : Dyuman Joshi le 30 Oct 2023
Hi all, I'm using 2020a version. FYIP

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Dyuman Joshi
Dyuman Joshi le 30 Oct 2023
Ran in:

0 votes

Ran in:
This particular syntax of generating normally distributed complex number was added in R2022a - https://in.mathworks.com/help/releases/R2022a/matlab/ref/randn.html#mw_ed86de37-4aa2-4eff-b955-109aa0791624
You can try this method instead -
y = rand(5,1) + 1i*rand(5,1)
y =
0.6128 + 0.1289i 0.8724 + 0.4457i 0.3249 + 0.0643i 0.9266 + 0.5437i 0.9903 + 0.1540i

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Stephen23
Stephen23 le 30 Oct 2023
Ran in:
Ran in:
Also:
y = complex(rand(5,1),rand(5,1))
y =
0.8953 + 0.9832i 0.2603 + 0.9094i 0.3151 + 0.3252i 0.3453 + 0.1122i 0.8109 + 0.2145i

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