回复 #14 eight 的帖子
??? Error using ==> hThe mat file should contain a structure array!
运行得到这个结果。 原帖由 suj568 于 2007-4-22 08:25 发表
??? Error using ==> h
The mat file should contain a structure array!
运行得到这个结果。
这就是我为什么要你掌握一定基础再上来发帖提问的原因了，你现在每遇到问题都必须靠别人来回复，没有一个人经得起这样的耐心去一步一步地指导你的。再加上你不提供你的数据文件，根本由不得别人测试，我也是直接在这个编辑框中输入给你提示的代码的，所以一错再错。你说你不会编程，我不怪你，但是学理科的人总应该有一定的逻辑思维吧？“提供原始数据文件才能让别人帮助你”这样的逻辑不应该没有吧？以下是我重写的代码，也没有经过测试，自己试试。
A = load('d:\shuju\hgt.2000stdf.txt');
if ~isstruct(A)
B = A;
else
cFieldNames = fieldnames(A);
B = A.(cFieldNames{1});
end
y=abs(imag(hilbert(B)));
save d:\shuju\hgt.2000stdhil.txt y -ascii
回复 #17 eight 的帖子
谢谢eight!我是学大气科学的，就是气象方面的。
毕业论文做的是波包传播方面的。
我一直没有想该如何描述我弄的数据。
现在试着说明下，并且把我弄的数据放在附件里给你看看。希望继续得到你的帮助！！真心的感谢！！
数据是NECP数据经过转化和滤波之后得到的1000hpa 位势高度的全球格点资料：
2.5 degree x 2.5 degree global grids (144x73)
0.0E to 357.5E, 90.0N to 90.0S
这个是每年日平均的资料。每年一个数据包。
我先试着做的是2000年的。
一． 在grads下运行hgt500的gs文件，将nc数据转化为二进制的grd数据
：run 路径\hgt500.gs（sdfopen 和 set fwrite语句后面的读入和输出数据路径要进行相应的更改）
二． 运行std.for程序将（1）得到的数据进行标准化处理
三． 运行highfilter.for将（2）得到的数据进行滤波
四． 在 matlab下运行h.mat将（3）的数据进行hilbert变换
五． 运行tranb.for讲文本文件转化给二进制文件
六． 运行plot.gs文件进行绘图（运行时注意hil.ctl的描述的位置和路径）
（以上程序运行一定要找到数据的入口和出口，有些路径注意修改，绘图时描述文件中的路径与数据的存放位置对应，gs文件中的给出的是描述文件的存放位置和数据的输出位置）
上面是我数据处理的步骤！！
现在做的是第四步。过不了，所以上来求教的！！
数据比较大 ，有三十几兆 ，还是文本文件。不知道能否给你帮看看。 本帖最后由 wdhd 于 2016-9-6 13:33 编辑
原帖由 suj568 于 2007-4-22 11:27 发表
谢谢eight!
我是学大气科学的，就是气象方面的。
毕业论文做的是波包传播方面的。
我一直没有想该如何描述我弄的数据。
现在试着说明下，并且把我弄的数据放在附件里给你看看。希望继续得到你的帮助！！真心 ...
数据文件太大的问题，可以copy几个记录为新的txt文件，这样就可以上传了
回复 #19 eight 的帖子
这下面的是hgt.2000stdf.txt里面的部分数据至于我自己转化的过程有没有差错，我目前还不知道。不过复制一部分在下面。
-29.342 -26.553 -23.651 -19.916 -16.181 -12.190 -8.133 -3.998 0.097 4.125 7.848 11.351 14.723 17.711 20.372 22.756 24.782 26.551 27.928 29.051 29.662 29.998 30.040 29.682 29.284 28.181 26.944 25.494 23.659 21.889 20.028 18.052 16.272 14.678 13.426 12.167 11.629 11.536 11.529 12.043 12.797 13.808 15.179 16.433 17.794 19.186 20.808 22.043 23.780 33.616 36.023 38.435 40.938 43.547 46.464 49.378 52.421 55.586 58.803 62.228 65.329 68.499 71.638 74.642 77.251 79.731 81.901 83.848 85.257 86.420 87.229 87.895 88.071 88.004 87.683 87.192 86.393 85.443 84.358 83.262 81.940 80.617 79.371 77.798 76.414 74.970 73.723 72.373 70.971 69.572 68.182 66.822 65.655 64.316 63.105 62.159 61.048 60.019 59.086 58.157 57.032 56.142 55.108 54.123 53.130 51.959 50.795 49.341 47.984 46.283 44.306 42.388 40.021 37.683 35.093 32.320 29.522 26.372 23.290 20.128 16.717 13.241 9.906 6.262 2.766 -0.948 -4.457 -7.975 -11.594 -15.216 -18.723 -21.922 -25.273 -28.497 -31.183 -33.824 -35.980 -37.847 -39.195 -40.249 -40.715 -40.839 -40.245 -39.370 -37.865 -36.108 -33.862 -31.366 -28.645 -25.653 -22.401 -19.194 -15.882 -12.807 -9.473 -6.331 -3.462 -0.546 2.127 4.557 6.870 8.817 10.597 12.057 13.358 14.291 14.899 15.606 15.788 15.819 15.719 15.518 15.095 14.719 14.286 13.970 13.745 13.505 13.343 13.545 14.004 14.678 15.388 16.380 17.596 18.957 20.451 22.079 23.840 25.604 27.595 29.584 31.575 38.052 40.094 42.321 44.334 46.599 48.964 51.093 53.476 55.762 57.884 60.116 62.348 64.390 66.589 68.382 70.181 71.814 73.334 74.578 75.834 76.772 77.543 78.231 78.546 78.780 78.742 78.693 78.375 78.071 77.216 76.353 75.539 74.550 73.497 72.182 70.923 69.849 68.416 67.024 65.524 64.076 62.456 61.205 59.748 58.186 56.628 55.002 53.625 52.227 50.740 49.425 48.091 46.467 45.010 43.443 41.708 40.186 38.693 36.890 34.935 33.081 30.859 28.952 26.709 24.536 22.031 19.688 17.087 14.533 11.724 9.014 6.194 3.364 0.506 -2.215 -5.224 -8.064 -11.017 -13.705 -16.619 -19.245 -21.767 -24.299 -26.700 -28.753 -30.659 -32.615 -34.114 -35.489 -36.550 -37.393 -37.806 -38.048 -38.154 -37.815 -37.104 -36.275 -35.311 -34.021 -32.383 -30.711 -28.979 -26.894 -25.074 -22.866 -20.650 -18.472 -16.291 -14.297 -12.219 -10.038 -8.145 -6.213 -4.414 -2.661 -1.098 0.479 1.826 3.204 4.284 5.404 6.386 7.423 8.417 9.332 10.201 11.046 12.060 13.075 13.976 15.253 16.155 17.504 18.930 20.267 21.880 23.461 24.896 26.651 28.421 30.222 32.142 34.043 36.035 35.877 37.501 38.986 40.505 42.107 43.354 45.019 46.420 47.826 49.228 50.421 51.830 53.038 54.131 55.134 56.033 57.111 57.839 58.650 59.157 59.654 60.056 60.415 60.630 60.819 60.628 60.725 60.432 60.014 59.796 59.356 58.639 57.934 57.316 56.363 55.498 54.404 53.442 52.564 51.217 50.038 48.853 47.589 46.294 44.933 43.882 42.444 41.099 39.807 38.361 36.803 35.382 33.969 32.487 31.089 29.555 28.032 26.477 24.929 23.229 21.525 19.977 18.123 16.348 14.800 12.903 11.123 9.265 7.445 5.513 3.720 1.898 -0.040 -1.906 -3.713 -5.656 -7.528 -9.382 -11.126 -12.703 -14.315 -15.914 -17.379 -18.707 -20.090 -21.318 -22.439 -23.360 -24.368 -25.006 -25.572 -26.118 -26.434 -26.663 -26.668 -26.661 -26.380 -26.057 -25.493 -24.933 -24.446 -23.414 -22.530 -21.582 -20.501 -19.341 -18.131 -17.014 -15.649 -14.204 -12.866 -11.503 -10.157 -8.808 -7.397 -5.988 -4.459 -3.061 -1.774 -0.279 1.098 2.583 4.097 5.290 6.678 8.159 9.442 10.949 12.250 13.697 15.012 16.325 17.832 19.227 20.880 22.223 23.695 25.347 26.723 28.235 29.748 31.103 32.866 34.281 26.209 27.222 27.814 28.671 29.485 30.258 30.956 31.472 32.233 32.898 33.463 34.038 34.385 34.986 35.409 35.628 36.066 36.472 36.805 37.050 37.129 37.208 37.356 37.442 37.488 37.427 37.348 37.192 37.027 36.706 36.576 36.170 35.996 35.448 34.919 34.518 33.982 33.652 32.967 32.409 31.790 31.086 30.425 29.653 28.922 28.145 27.274 26.503 25.615 24.809 23.933 23.102 22.287 21.222 20.291 19.451 18.578 17.630 16.712 15.790 14.672 13.776 12.663 11.803 11.205 10.183 9.324 8.317 7.441 6.409 5.533 4.578 3.891 2.964 2.037 1.361 0.489 -0.382 -1.123 -1.729 -2.402 -2.977 -3.668 -4.215 -4.695 -5.309 -5.795 -6.052 -6.330 -6.852 -7.034 -7.224 -7.427 -7.578 -7.501 -7.415 -7.447 -7.252 -7.297 -6.955 -6.636 -6.525 -6.137 -5.638 -5.274 -4.839 -4.218 -3.675 -3.170 -2.563 -2.007 -1.186 -0.547 0.188 0.975 1.755 2.520 3.380 4.199 5.038 5.961 6.776 7.692 8.627 9.567 10.590 11.283 12.287 13.260 14.145 15.108 16.004 16.984 17.844 18.943 19.809 20.838 21.663 22.461 23.322 24.391 25.140 26.094 26.790 14.418 14.418 14.418 14.418 14.418 14.418
我找不到贴附件的。
你给我的那个新的程序我运行了 ，可以得到了hgt.2000stdhil.txt
这个文件六十多兆，比转化前的文件hgt.2000stdf.txt大了二十几兆。
有点不可思议。 -19.410 -17.099 -14.150 -10.841 -6.888 -2.654 1.688 5.957 10.336 14.393 18.362 22.063 25.386 28.427 31.120 33.172 35.137 36.696 38.124 38.909 39.692 40.026 40.430 40.227 39.888 39.370 38.360 36.784 35.157 32.941 30.469 27.616 24.488 21.546 18.671 15.955 13.719 11.750 10.506 9.776 9.574 9.910 10.352 10.854 11.799 12.077 12.885 13.157 13.448 13.913 25.448 27.291 29.467 31.870 34.594 37.613 40.998 44.906 48.970 53.212 57.478 61.876 66.265 70.471 74.388 77.917 81.394 84.228 86.267 88.042 89.158 89.647 89.767 89.499 88.494 87.306 85.827 84.242 82.451 80.551 78.724 76.937 75.333 73.779 72.309 71.091 69.999 68.900 67.891 67.112 66.422 65.742 64.820 64.381 63.783 63.140 62.752 62.098 61.826 61.457 61.144 60.860 60.524 60.301 60.099 59.914 59.488 59.079 58.669 57.890 56.879 55.803 54.394 52.642 50.582 48.423 45.847 43.093 40.293 36.987 33.815 30.580 27.125 23.562 20.125 16.715 12.845 9.382 5.851 2.080 -1.664 -5.433 -9.217 -12.981 -16.789 -20.375 -23.632 -26.572 -29.263 -31.146 -32.521 -33.409 -33.404 -32.737 -31.327 -29.342 -26.553 -23.651 -19.916 -16.181 -12.190 -8.133 -3.998 0.097 4.125 7.848 11.351 14.723 17.711 20.372 22.756 24.782 26.551 27.928 29.051 29.662 29.998 30.040 29.682 29.284 28.181 26.944 25.494 23.659 21.889 20.028 18.052 16.272 14.678 13.426 12.167 11.629 11.536 11.529 12.043 12.797 13.808 15.179 16.433 17.794 19.186 20.808 22.043 23.780 33.616 36.023 38.435 40.938 43.547 46.464 49.378 52.421 55.586 58.803 62.228 65.329 68.499 71.638 74.642 77.251 79.731 81.901 83.848 85.257 86.420 87.229 87.895 88.071 88.004 87.683 87.192 86.393 85.443 84.358 83.262 81.940 80.617 79.371 77.798 76.414 74.970 73.723 72.373 70.971 69.572 68.182 66.822 65.655 64.316 63.105 62.159 61.048 60.019 59.086 58.157 57.032 56.142 55.108 54.123 53.130 51.959 50.795 49.341 47.984 46.283 44.306 42.388 40.021 37.683 35.093 32.320 29.522 26.372 23.290 20.128 16.717 13.241 9.906 6.262 2.766 -0.948 -4.457 -7.975 -11.594 -15.216 -18.723 -21.922 -25.273 -28.497 -31.183 -33.824 -35.980 -37.847 -39.195 -40.249 -40.715 -40.839 -40.245 -39.370 -37.865 -36.108 -33.862 -31.366 -28.645 -25.653 -22.401 -19.194 -15.882 -12.807 -9.473 -6.331 -3.462 -0.546 2.127 4.557 6.870 8.817 10.597 12.057 13.358 14.291 14.899 15.606 15.788 15.819 15.719 15.518 15.095 14.719 14.286 13.970 13.745 13.505 13.343 13.545 14.004 14.678 15.388 16.380 17.596 18.957 20.451 22.079 23.840 25.604 27.595 29.584 31.575 38.052 40.094 42.321 44.334 46.599 48.964 51.093 53.476 55.762 57.884 60.116 62.348 64.390 66.589 68.382 70.181 71.814 73.334 74.578 75.834 76.772 77.543 78.231 78.546 78.780 78.742 78.693 78.375 78.071 77.216 76.353 75.539 74.550 73.497 72.182 70.923 69.849 68.416 67.024 65.524 64.076 62.456 61.205 59.748 58.186 56.628 55.002 53.625 52.227 50.740 49.425 48.091 46.467 45.010 43.443 41.708 40.186 38.693 36.890 34.935 33.081 30.859 28.952 26.709 24.536 22.031 19.688 17.087 14.533 11.724 9.014 6.194 3.364 0.506 -2.215 -5.224 -8.064 -11.017 -13.705 -16.619 -19.245 -21.767 -24.299 -26.700 -28.753 -30.659 -32.615 -34.114 -35.489 -36.550 -37.393 -37.806 -38.048 -38.154 -37.815 -37.104 -36.275 -35.311 -34.021 -32.383 -30.711 -28.979 -26.894 -25.074 -22.866 -20.650 -18.472 -16.291 -14.297 -12.219 -10.038 -8.145 -6.213 -4.414 -2.661 -1.098 0.479 1.826 3.204 4.284 5.404 6.386 7.423 8.417 9.332 10.201 11.046 12.060 13.075 13.976 15.253 16.155 17.504 18.930 20.267 21.880 23.461 24.896 26.651 28.421 30.222 32.142 34.043 36.035 35.877 37.501 38.986 40.505 42.107 43.354 45.019 46.420 47.826 49.228 50.421 51.830 53.038 54.131 55.134 56.033 57.111 57.839 58.650 59.157 59.654 60.056 60.415 60.630 60.819 60.628 60.725 60.432 60.014 59.796 59.356 58.639 57.934 57.316 56.363 55.498 54.404 53.442 52.564 51.217 50.038 48.853 47.589 46.294 44.933 43.882 42.444 41.099 39.807 38.361 36.803 35.382 33.969 32.487 31.089 29.555 28.032 26.477 24.929 23.229 21.525 19.977 18.123 16.348 14.800 12.903 11.123 9.265 7.445 5.513 3.720 1.898 -0.040 -1.906 -3.713 -5.656 -7.528 -9.382 -11.126 -12.703 -14.315 -15.914 -17.379 -18.707 -20.090 -21.318 -22.439 -23.360 -24.368 -25.006 -25.572 -26.118 -26.434 -26.663 -26.668 -26.661 -26.380 -26.057 -25.493 -24.933 -24.446 -23.414 -22.530 -21.582 -20.501 -19.341 -18.131 -17.014 -15.649 -14.204 -12.866 -11.503 -10.157 -8.808 -7.397 -5.988 -4.459 -3.061 -1.774 -0.279 1.098 2.583 4.097 5.290 6.678 8.159 9.442 10.949 12.250 13.697 15.012 16.325 17.832 19.227 20.880 22.223 23.695 25.347 26.723 28.235 29.748 31.103 32.866 34.281 26.209 27.222 27.814 28.671 29.485 30.258 30.956 31.472 32.233 32.898 33.463 34.038 34.385 34.986 35.409 35.628 36.066 36.472 36.805 37.050 37.129 37.208 37.356 37.442 37.488 37.427 37.348 37.192 37.027 36.706 36.576 36.170 35.996 35.448 34.919 34.518 33.982 33.652 32.967 32.409 31.790 31.086 30.425 29.653 28.922 28.145 27.274 26.503 25.615 24.809 23.933 23.102 22.287 21.222 20.291 19.451 18.578 17.630 16.712 15.790 14.672 13.776 12.663 11.803 11.205 10.183 9.324 8.317 7.441 6.409 5.533 4.578 3.891 2.964 2.037 1.361 0.489 -0.382 -1.123 -1.729 -2.402 -2.977 -3.668 -4.215 -4.695 -5.309 -5.795 -6.052 -6.330
我用上面这部分数据 ，用你给的程序转化了
%对滤波后的数据进行hilbert变换
A = load('d:\shuju\0.txt');
if ~isstruct(A)
B = A;
else
cFieldNames = fieldnames(A);
B = A.(cFieldNames{1});
end
y=abs(imag(hilbert(B)));
save d:\shuju\1hil.txt y -ascii
得到下面的结果：
1.4598566e+0012.7962969e+0013.1482189e+0013.7812040e+0014.0441649e+0014.4300798e+0014.5458718e+0014.7599927e+0014.7633250e+0014.8301349e+0014.7391478e+0014.6971765e+0014.5161025e+0014.4056381e+0014.1559962e+0013.9944411e+0013.7428859e+0013.5626360e+0013.2849565e+0013.0838692e+0012.8209822e+0012.6251895e+0012.3637393e+0012.1470469e+0011.9019419e+0011.6990053e+0011.4286849e+0011.2543784e+0011.0419111e+0019.0069069e+0007.5290576e+0006.9732782e+0006.6050013e+0007.5189004e+0008.2181527e+0001.0301895e+0011.2097729e+0011.5088046e+0011.7685954e+0012.1093773e+0012.3685750e+0012.6991597e+0012.8866739e+0013.2070573e+0013.3534156e+0013.6513556e+0013.8139408e+0014.1797576e+0014.3806616e+0015.2844081e+0015.5670173e+0015.1684079e+0015.3979710e+0015.3933311e+0015.5922177e+0015.6413921e+0015.8054954e+0015.8357615e+0015.8988070e+0015.8483487e+0015.8139343e+0015.6829753e+0015.5370799e+0015.2926172e+0015.0329904e+0014.7077146e+0014.3731868e+0013.9319283e+0013.5240648e+0013.0771481e+0012.6328390e+0012.1795017e+0011.7697677e+0011.3321144e+0019.4488542e+0005.8869708e+0002.7530047e+0001.3320885e-0012.6549716e+0004.8177487e+0006.5546109e+0008.0798469e+0009.2786721e+0001.0462719e+0011.1292854e+0011.2091922e+0011.2840847e+0011.3638265e+0011.4176873e+0011.4797004e+0011.5412639e+0011.6271984e+0011.6858920e+0011.7363754e+0011.8241174e+0011.8784147e+0011.9557917e+0012.0242648e+0012.0840302e+0012.1733367e+0012.2504790e+0012.3501974e+0012.4437593e+0012.5493334e+0012.6649398e+0012.8074101e+0012.9617526e+0013.1146395e+0013.2985882e+0013.5046844e+0013.7008839e+0013.9091616e+0014.1317447e+0014.3506385e+0014.5535028e+0014.7472763e+0014.9407028e+0015.0898449e+0015.2458165e+0015.3693323e+0015.4480650e+0015.5278136e+0015.5819793e+0015.6039235e+0015.5905208e+0015.5892290e+0015.5475555e+0015.4571464e+0015.3883345e+0015.2780185e+0015.1407685e+0014.9692336e+0014.7688741e+0014.5281187e+0014.2467480e+0013.8992660e+0013.5159961e+0013.0899223e+0012.6181123e+0012.0877224e+0011.5718416e+0011.0004981e+0014.3589597e+0001.3638036e+0006.7056715e+0001.2028298e+0011.6629135e+0012.0970846e+0012.4767083e+0012.7793572e+0013.0410827e+0013.2412987e+0013.3908793e+0013.4859060e+0013.5240295e+0013.5138649e+0013.4749064e+0013.3982351e+0013.2776892e+0013.1465051e+0012.9844689e+0012.8165193e+0012.6252410e+0012.4318983e+0012.2214668e+0012.0111970e+0011.8138688e+0011.6160199e+0011.4372993e+0011.2645322e+0011.0878875e+0019.8016750e+0008.6225148e+0008.1092507e+0007.8863863e+0008.0805698e+0008.6110010e+0009.8123245e+0001.1203452e+0011.3050121e+0011.4997196e+0011.7750830e+0011.9857648e+0012.2507667e+0012.4809228e+0012.7371444e+0012.9466812e+0013.1852971e+0013.3382804e+0013.5793864e+0013.7273031e+0014.0115965e+0014.1414276e+0014.8036808e+0014.9464760e+0014.5764705e+0014.6636225e+0014.5833782e+0014.6520911e+0014.6090160e+0014.6225954e+0014.5644936e+0014.5323304e+0014.4377021e+0014.3394295e+0014.1681271e+0014.0223124e+0013.8031118e+0013.5721874e+0013.2863770e+0013.0110509e+0012.6841892e+0012.3578038e+0011.9924763e+0011.6558379e+0011.2943710e+0019.5319860e+0005.8219772e+0002.5664044e+0008.4149916e-0013.8997649e+0007.0807472e+0009.7801747e+0001.2521496e+0011.4887877e+0011.7397843e+0011.9314203e+0012.1543571e+0012.3328283e+0012.5051122e+0012.6507307e+0012.8008931e+0012.9455867e+0013.0867215e+0013.2059235e+0013.3270422e+0013.4204848e+0013.5259287e+0013.6249306e+0013.7014983e+0013.7877260e+0013.8889375e+0013.9707298e+0014.0669794e+0014.1717508e+0014.2777723e+0014.3710445e+0014.4952905e+0014.5975948e+0014.7378918e+0014.8639426e+0015.0162869e+0015.1577879e+0015.3094556e+0015.4796085e+0015.6277581e+0015.7766443e+0015.9299655e+0016.0485842e+0016.1879702e+0016.2822658e+0016.3901717e+0016.4629955e+0016.5176513e+0016.5590828e+0016.5942970e+0016.5752896e+0016.5629236e+0016.5166170e+0016.4506228e+0016.3564297e+0016.2278372e+0016.0920398e+0015.9293835e+0015.7287888e+0015.4889817e+0015.2256228e+0014.9559479e+0014.6070983e+0014.2493852e+0013.8569438e+0013.4370763e+0012.9909681e+0012.5334878e+0012.0567999e+0011.5745546e+0011.0823029e+0015.9759075e+0001.3062730e+0003.2443774e+0007.4342634e+0001.1468734e+0011.5002265e+0011.8311287e+0012.1255420e+0012.3730113e+0012.5740025e+0012.7372699e+0012.8650965e+0012.9786125e+0013.0187975e+0013.0593033e+0013.0632134e+0013.0381344e+0012.9920488e+0012.9296894e+0012.8402180e+0012.7550375e+0012.6457532e+0012.5497138e+0012.4223175e+0012.3416563e+0012.2382312e+0012.1436101e+0012.0696941e+0012.0212871e+0011.9747342e+0011.9639823e+0011.9702213e+0012.0081528e+0012.0617115e+0012.1377151e+0012.2160926e+0012.3439204e+0012.4758408e+0012.6257841e+0012.7511078e+0012.8999871e+0013.0380063e+0013.1887454e+0013.3052302e+0013.4457131e+0013.5438090e+0013.6753237e+0013.7485852e+0013.9020322e+0013.9378984e+0014.2488892e+0014.2641760e+0013.9931965e+0013.9863285e+0013.8685668e+0013.8608850e+0013.7449844e+0013.6896297e+0013.5798050e+0013.4778379e+0013.3365611e+0013.2265556e+0013.0513238e+0012.9022224e+0012.6996438e+0012.4966318e+0012.2767213e+0012.0522378e+0011.8009511e+0011.5550777e+0011.2939209e+0011.0180653e+0017.4982545e+0004.6615850e+0001.8093241e+0009.6730843e-0013.7337748e+0006.4260601e+0009.1507382e+0001.1858968e+0011.4658631e+0011.6895914e+0011.9301647e+0012.1531762e+0012.3802026e+0012.5885133e+0012.7660347e+0012.9552952e+0013.1466237e+0013.3111913e+0013.4730745e+0013.6200189e+0013.7541600e+0013.8686216e+0014.0195768e+0014.1336021e+0014.2572523e+0014.3473406e+0014.4396211e+0014.5380469e+0014.6331138e+0014.7155508e+0014.8297375e+0014.9277516e+0015.0161792e+0015.1206660e+0015.2042390e+0015.2791753e+0015.3769838e+0015.4882876e+0015.5672829e+0015.6611686e+0015.7322221e+0015.7969540e+0015.8713952e+0015.9315846e+0015.9884585e+0016.0208320e+0016.0608474e+0016.0746351e+0016.0874645e+0016.0635672e+0016.0442463e+0015.9935287e+0015.9308610e+0015.8555143e+0015.7729441e+0015.6507478e+0015.5211508e+0015.3587783e+0015.1995681e+0014.9796319e+0014.7822640e+0014.5401727e+0014.2874064e+0013.9933452e+0013.7279611e+0013.4112519e+0013.0906552e+0012.7522550e+0012.4102414e+0012.0490433e+0011.6923015e+0011.3441457e+0019.8884842e+0006.1934389e+0002.7991261e+0004.5643276e-0013.6420585e+0006.8508548e+0009.7364277e+0001.2308091e+0011.4868652e+0011.7104500e+0011.9100845e+0012.1179058e+0012.2675430e+0012.4149822e+0012.5234571e+0012.6288626e+0012.7280456e+0012.7989036e+0012.8467438e+0012.8980154e+0012.9243867e+0012.9485700e+0012.9580345e+0012.9691817e+0012.9651004e+0012.9682365e+0012.9554669e+0012.9695459e+0012.9666837e+0012.9906859e+0012.9905553e+0013.0118241e+0013.0229375e+0013.0620274e+0013.0958451e+0013.1253339e+0013.1671386e+0013.2109049e+0013.2365458e+0013.3136413e+0013.3270752e+0013.3772357e+0013.3961061e+0013.4123635e+0013.4124303e+0013.4439690e+0013.4123728e+0013.4171112e+0013.3502154e+0013.3220763e+0013.1379263e+0013.0594514e+0013.0958268e+0013.0126876e+0012.9783469e+0012.8790439e+0012.8112578e+0012.7290461e+0012.6180030e+0012.5179741e+0012.3920145e+0012.2734014e+0012.1482722e+0011.9933799e+0011.8464925e+0011.6841665e+0011.5387925e+0011.3695060e+0011.1909594e+0011.0132614e+0018.2025190e+0006.4397899e+0004.5563206e+0002.6951875e+0007.6935385e-0011.2207288e+0003.1632123e+0004.9292143e+0007.1108243e+0008.7409835e+0001.0619764e+0011.2521588e+0011.4451492e+0011.5980409e+0011.7808146e+0011.9439759e+0012.1047313e+0012.2547319e+0012.3840035e+0012.5360168e+0012.6855045e+0012.7918396e+0012.9221882e+0013.0263189e+0013.1442815e+0013.2226860e+0013.3254171e+0013.4283365e+0013.5081841e+0013.5941600e+0013.6855028e+0013.7529906e+0013.8120321e+0013.8741979e+0013.9313552e+0013.9841854e+0014.0437724e+0014.0860601e+0014.1339812e+0014.1720477e+0014.2176178e+0014.2305785e+0014.2606714e+0014.2850841e+0014.2768707e+0014.2836508e+0014.2940698e+0014.2750467e+0014.2649526e+0014.2339020e+0014.2054928e+0014.1481415e+0014.1122750e+0014.0473050e+0013.9787824e+0013.8975138e+0013.8194719e+0013.7060991e+0013.5978344e+0013.4534537e+0013.3249105e+0013.1785433e+0013.0322388e+0012.8541072e+0012.6943650e+0012.5083948e+0012.3228957e+0012.1121933e+0011.9181128e+0011.6994706e+0011.4753360e+0011.2608475e+0011.0399103e+0018.0787135e+0005.8361674e+0003.5171514e+0001.3273939e+0001.0257926e+0003.1093162e+0005.3802943e+0007.1797342e+0009.4455815e+0001.1420815e+0011.3215928e+0011.4978179e+0011.6751679e+0011.8305625e+0011.9823126e+0012.1200018e+0012.2764536e+0012.3853711e+0012.5030688e+0012.5974334e+0012.7022854e+0012.7861420e+0012.8829948e+0012.9532215e+0013.0352105e+0013.0712173e+0013.1466257e+0013.1898046e+0013.2450280e+0013.2797235e+0013.3106788e+0013.3158632e+0013.3726069e+0013.3662081e+0013.4004976e+0013.3927758e+0013.4079894e+0013.3929989e+0013.3944630e+0013.3772059e+0013.3836934e+0013.3420268e+0013.3364985e+0013.2476572e+0013.2498337e+0013.1340312e+0013.0943620e+0012.9478355e+0012.8886461e+0012.6480548e+0012.5839189e+0011.8787892e+0011.7760116e+0012.2388241e+0012.1415582e+0012.2621537e+0012.1674989e+0012.1973061e+0012.0954311e+0012.0971339e+0012.0191867e+0011.9834913e+0011.8924018e+0011.8427199e+0011.7507652e+0011.7120073e+0011.5958418e+0011.5477668e+0011.4614515e+0011.3969750e+0011.2911310e+0011.2133302e+0011.1047040e+0011.0428629e+0019.4381971e+0008.7154987e+0007.6449196e+0006.8872235e+0005.8438610e+0005.1186178e+0004.0683643e+0003.4161499e+0002.4633538e+0001.7343635e+0008.4662599e-0016.0541227e-0027.0634380e-0011.3790260e+0002.0462724e+0002.6954231e+0003.5474107e+0004.0009784e+0004.7859300e+0005.2357575e+0005.8918229e+0006.3195527e+0006.8459969e+0007.2456596e+0007.6898973e+0007.9262134e+0008.3361197e+0008.4501558e+0008.8116966e+0008.8255921e+0009.2102678e+0009.2523346e+0009.2916419e+0009.1734420e+0009.3019304e+0009.1713662e+0009.1664213e+0009.0198090e+0008.9416214e+0008.5033474e+0008.3765903e+0007.5416039e+0007.4662935e+0007.0129304e+0006.7553306e+0006.1383431e+0005.7809584e+0005.0327929e+0004.5060146e+0003.5658945e+0002.9508588e+0002.1410616e+0001.3461391e+0002.2838381e-0013.8068089e-0011.7345975e+0002.6242806e+0004.1200281e+0004.8900194e+0006.5484094e+0007.2315946e+0009.2728826e+0009.7302136e+0001.2015062e+0011.2011033e+0011.4985067e+0019.9882086e+000
这才知道为什么数据变大那么多了！
呵呵我得问问导师或者研究生这样的结果对不对！！
不过首先还得感谢你给不厌其烦的热心帮助！！谢谢！！:handshake :handshake :loveliness: 我用20楼的数据构成sudata1.txt文件，按笫1层楼主的方法进行hilbert分析及求其包络：
x=load('sudata1.txt');
N=length(x);
y=abs(hilbert(x));
n=1:N;
plot(n-1,x,'r',n-1,y,'b');
得到下图，红色是原始信号，蓝色是包络线（用hilbert变换后求得）。我附上了sudata1.txt文件，不知楼主能否运行？
求助matlab如何实现函数分布
回复 #12 suj568 的帖子
哥，这是希尔伯特-黄变换，跟您说不一样呀！这是两码事，虽然都带着希尔伯特，就像驴和驴肉火烧这是两回事呀！这几天我看帖子上火了，吃了半斤败火药了。 什么意思 哈？？意思是不一样的么？？回复 #25 suj568 的帖子
你好好看看文章吧！还有这么多置顶贴！
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