忆若华发 发表于 2014-12-15 19:27

频谱图中的“频率模糊”是指的什么意思?

在读一些论文时,经常会看到一些频谱图说是什么“频谱模糊”,就像下图,不知道什么意思,求教ing。。。data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAg4AAADYCAIAAAAMIfx1AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAgAElEQVR4nO2dW7aruA5FzR3VL6BlmJYBLeN+rIpKW37gJEDsZM2PM/YhYPzCsmRZdjsh5+Gcc87pK8uy9H3vnOv7flmW/M15pmlyzkki+O80TeZvnTguApcglbEM+kWZGjAFnKZJvwjVovMfzVv0FX3fTwFhQSRlvEtqA//V9YY/9n1flkUnaPJm8hnWm7S1vFGXImwm0gpPfKiE5AkHgmVZZLAw4+b+GEnLBw4jKmQkkp/0zTIQyz2F435GqGhMKcoxNfPUuBnKPBmajUREsvKWVE7kZi0qwtzKf43YMMJPv1rfGZXupC0oKshphAOBvmJGn+j9GVwwpZUre0xUyJXMWGnyox8MR0aTVOapFBhbpTipgdU8Yiohn/5h9nQGdqX3mAo02kYe00bRrJpks01NauR/h/2AkELWdY1eH4bBe596ap7nw5TxuLlzWRZc996nXu1iAqaQfd+997uSUvhmogl672Fq0/IAN4u1x3uv62F/VSPZlVlJf8zILdBPDcMgVSc1VvjGTMW6hzZjLnrvh2EwF7uuG4YhnxqpmX8+nQHyPWzbZq5g1PDey08vD9zuMbZ67+d51qPhuq7btkVTXtf15eFpGAYZ3WSozQg2ZMP9FY2p+81oHh3BjWjRINlt28wNpmZ0ruS/4zimihCC4qMaIZKlPud5DusWGZumaV3Xruv0T2H3IA1BUUEuBMM6llsxQs3zXD6lLWGaJgxP0WRlWOz7/tmhClNjCAzzOr1mazCjp/fejJipp+Z5jsqVaLn6vg9n7lIP+hHvfd/3MnDjp2drI5QuKRGId+FvaXRcBCVKJKkQigpyGuEAhHHBjLaGd/SMDBiwkCW8An9glo2hFtnrum5ZFpPDaZpSIi0v6koEQyq3Tmkb+el/VFUKRSYKq1eqpezbtkkiUBeia+AQ9i6oEKOsCFKNeIW+SANU03CtgpwGRoSoUUIPxBmxkafrOhm5gJ6lmhFcMrMrzxz3MINs2yYPGhVBxNtrmZwCMipI+KzJ/wtvN1dECsryBkxJstLj0kWGogMRMs9zpzhUSqDN6PRJ01CrIKeBcVwPImId0hfNCFVuj5LBDjZ60Q/WdYWKMM9zVBvQV4ZhGMcxpTTg4jRNL4uKkHJTj5GCJY/I4gH+NdmW/4olUCcLhQMrK5AE4Uq7SBrzrFYaTH6kYo1iQa2ibc53qiI/DDpVyhsydP0s9JvUbkXGmdW82v11P01lMvXe8ixFM/nsh+aedJY9fGn+nuir9T3mv8bzNfSdDYtTAp1lW4RaBTkTrGSmJo9mudUVm1lCDQATf/04Xq3VhajlJzr7lrf0ff/mqns46OeXwc2aubwdaxWH9YOpOibvUXkj1ieTstGrouqIuQjtDW9JrVVE19t1Ctu2naixkfv4tKwi34YMWGGQCXNP5oZvoqSYy7K8UxuZeXr40wuT+unvruw9keGSlKlSNErEOknIm8CAnnF8gn2cs0tCWoGighBCyAF0liWEEHIARQUhhJADKCoIIYQcQFFBCCHkgK/dV5EKtmxCjZ4buo4QQr6SL/SA0nHWwtKZaG5hnDgC3gnf/Vkk+pMJb3dYHM4biMvGfo/erP8rDuJwFpfrme7XSq/7QlHhVDjMPTjjRR+cEHX8z7TcU33ogzA629eQ3/yMhsZWcAmUWx6pN7rjOvXGVOc3Y+JrSEFQinyp5b2HwbVMOhIr7M3cnksmhnFVfKeocA/twZQOFzNt81oE6daRsBMm/mv4ucrM6FxVzASzk9EnOgylxiYdsSNs39R+wPxTJegxC8M0ylL/ST4ykprRuWQUlsd1Y7mXzi/6eF1JaHr5r/5Vi5YSGWbQQe9xRboZun0rouJrA3uEpTM9IBpgQP/6wjkK7x+9EM1q5nUSR08eaTFwgglO1yK6+Zqj3Zzv70V4/DgNZb7hLpIn/HSjofwPn2qI1kVFuzW/ZwPZ1k/0WwhZlkWH+K2ERvs8aCjzP+Qsi+NcdIzPpw4Zrp/3dZpPAd08egobuYcSu8qaPtWVfD+fllVXkSmdHpLKn2qCvu8/nYUf5c3QsE0g06xPZ+QPrczKQ9qyu/7WsnZ4g3GWPXyKkJ9FnD74gZzCoZdNVfyQASoKN1UQUkj5IeGkhLYsxt8pKqK7XfSeLDlC+b48EUKIogllQvjOwB4iKvTJ8ljE1otybTUVIZ+l/p0i5Dq+U6sokQf0tyGEkEKq1ip04JSnNIDostuyLK+lRghxFWyr/jLaGoVqFBU6UpMgUWJejmGXOeqZEHII5cQvU5ezLFae0SPNmrMJ0nKRQKazLCEp6Cx7Ol3XteIsW5dWgZXnTGBwBNia57ndENmEENIcFS1rQ7Tu+54xE3nv932fpmnbtiZEMSGEfAF1iYpCryTvfStaGyHkkHVdu66jnaBmKhIVOL0OPcZ733Vd/pShK/KABRJ2WUJCrtutjS+Ok7+aqUhUSJzXcRw/NVijs1JUEBJytQcUPaxqphZRgdEZQRbpvk3ID/JrgXbaOnOzFlExDEPf99g8sa4rDUGEEFIPtYgK59y6ruKvDU+nT4kK7tQjJISRZc+lLS2qIlEBvPcfX92iNkNICM3C59LWeYJ17dYGOhzs/Xjvub+PkBBsgHXXhEv4zUAJDZW6rt3aNdCWqCfkC/i4IYEcUp0BylUgY9uyIRJCyNU0oFVgxmHsQteFiX0neC0hhHwltYsKHZBcm4auW04YhoE2KEII0dRogNJAdQgtQtc5Y1BOEEKIoXZRMc8z3C3kaKN93y8965TO44TkOV2h/9ll7YaWRWs3QGELt3TNG8KK8bA8QvLwAzmLhmwYtWsV6JRyLh6CFV+6FYibKgi5GX5x9VO7VuG9H4ZhXVdM9iU81HXzGs6YCLmZnxUVDYVGrV1UuL8WoRusQ1gdufQVhBDimoqVUrsBihBCyMehqCCEEHJAAwaoF5DD7IwN1FyJelLRWZYQQgzfKSpSLmje+23b9FLSzzp0E0JIOd9pgIoGHIScgMctjmXVOzaEhhaaCCHkHhoQFTjs6H13OqSgnancD3vpEUJIObUboOSk8nme3wxODnXB+NrO8xzaoCg/CCEXISupbRkwahcVmnfOUi0f/bGSgRcxyAch5EQknF1ztCQq3qFcVEDUS3NSVBBCzkJPdtuSGbWvVYjrat/373grvTbiU04QQs7FP/j4cZ9PUbuoWNd1WRa4Lb2TzlOD/jRN+77v+05RQQghrn5R4ZwbhuHE3Q8mKYZ7IoSQQxoQFWcBqSDaCQyF3IJHCCGHfKeoEAHQdZ3IBu89vJu6roMP7qWn6RFCyNfwtaJif6DXG/SCxzRNXIoghJASvlNUZNj3HavWND0RQkghPycqHNcnCCHkSRrYghcNvLFtW1teyYQQ0i61i4p298ETQsjXULsBinKCEEI+Tu1aBTC2JkZ+JYSQO6ldq8C+ObNcMQwDpQUhhNxG7aICWx/mee66zns/DAM20NEwRQght1G7AardmL2EEPI11C4qcHpE3/dyvukwDJQZhBByJ7WLCkRtMisTDMhBCCF30sZahcQhx5Eg67qO4/jZjP0C3NZOCAG1axWwNW3btm0b7U43wzjthBBQu1ZBCCHk49SuVUzTNM+zOasOMaA+lSVCCPk16hIVWL7Wq9bYS8F1bEII+SB1GaC89+M4hnuzo3fiJDtCCCFXU5eogFYhe7Oj90DPmOeZx50SQsg91CUqnHPLsmBlAgKj6zp4ypqQHsuy0CpFCCH3UNdahXNOVibENRaesvoexgokhJA7qU5UAP8A/0U8D6cECSGEkNuoVFSAT23+otbiWAmEEEV1axU1QMWFEEI0FBUkDrUKQohQnaiAmyzHqY/DJiCECNWJCufcPM/jOHKH3Wdh6BRCiFCdqNj3ve97/C2xx69Ae1gRQgjJUJ2ocM6t67rvu2zEG4bhRGPIuq6ylW+eZ0oLQgg5pEZRAbBiMU3Ttm3jOJ4lMMyZSHR2IoSQQ+oVFcB7D5MUBMabViM82/f9NE3TNO37TlFBCCGH1C4qgJikYDXquu41DUPO1OOBeoQQUk4bogJ47xFMsO/7MFb5s2AV5JycEULIV1N1YI8QiQH1miVq33ftg7ttG/2gCCF30ug2gBq1ihLj0svb9PZ9F/eqFPCM4k5AQsi5tDukVKdVrOs6juM0TfnJ/jAM27bt+/7aW5D4PM+plpPFDBqpCCFnMQyDnqeu69rKXtfqRIXgvZ/nGdUaxh5/v35xlF5UEvR9j8OU3nwFIYQY9CTYe09R8SIyQGNer/89F+gTUXnAUzEIIURT41oFgD6BfyXUB+j73lwpwXvfKaCyUCQQQsghdWkV67pCO5Nj77C2rKf5YjV6c5SHlemdFAgh5EeoS6sYxxGWO71LLmXLe9YqhY3fQruuCIQQcjN1iYqnzEp5h1dCyEWcYrbVMReo39dPXaICATyccwjQ5B59aF1XKgGEVMJZK3z8qBuirrUKjWx9cA8blFiicPGFlW1CyMvAf93xrJefpC5RobUH2S8dnXo0tHWFEBKF8qYh6hIVcpiEaLipLQ4NbV0hpF2oQBBQ11qFrFTjbO18XC0uaxNyNQzXT0BdogL+rFoGdAlwcMUHs0oIIb9DXQYo4B/IggQVCPJNNGTVgfOIiYLDGAc/SI2iAuBbQgRZxxUw8i1oP6JP5+UYfH1GVEgwhbOg7KmfekUFQB+l/zUhX0ZoKqD7e83UtVbhElKBkw5CPkXosH66PkRvxvqpS1TgXKPwekO23S+DQvqXkVgJ2gx1FjQVtEVdokKiyYqnk3vYdud5Dv2gPpzdH4Df82+iZ2bianhKZ5CUQ02CukXN1CUqgO6R8IuN3kbLpkCti1yB/hLXdT3XPV2vVci3zG5cLTWKCkGfboT9FggjOE1T3/ec8ArXbTHhp3sR1Vr28Fnp2GtA//3OpxeNJmvCu/0UrewEqFFU4Cva9x2dSf7F8pocdvTBHFbIRYKzrWRbpKqejMDgh/MDyXNenTWtLCmfcjTZ19CKdKxRVEQ73zzP27bhyCPaNG8Ak52LxvRxHH9WX9HDpavSQI9G996X23i7rgsb1LQyFh3xFTvntm2jtGiIGkUFkIVr/Ct2JxP5oxWuPnKjua/ux0WFUNvBvaKyZ+Zk67qKU4k+ydj9PbBILkL54Dp209QoKjJfTnMDojCO43WiYpqmi9TYK5L9yMhY1XCsqW24HIbhsNHHcZTpWvhJhv08jNhm3BdbnPz9GjXu1l7XVXcduHVL39Kue62YvKsdp0o4fWXoI602z3OdrVCPI99F7ZKv9mEYTvetIldQnVYxTdPhwNT3fd/3DWkYMPu2ItgMp9fzdfPofA3fKSoO21puuM5k/9RcCt4i+Ltkjj/PM+YQh1pFXgxs25Zql0a/l69lr49MT8VaxaW4x8ne5yIuv1dwReLSCucmu+/7RcnmKwEvPb1ll2VJvS71iMnnRb1iWZa+78vLuyzLsixPDR1wXnfOyYPSZ/q+L0/NfO9X10xVyAaA+qlLq5DY4/oiVrPxd22G3XIunSJx/gUOjTmnV9QLrlzIQyrWwFm7KcdxfOpjScXUyT9irogCsW1beWrRRvmyLq0dARqlLlGB5S/Txc0VierxmtqONgsFklCP7biQruuqkqDDMNxm6jGbAFL1cOlXWtIPYavx3ktQffd3d8JFeSsZcCGcXlgtkPw/K2MM0VYTh913Uq6HL5B8dYkKaDqikE4BMo6/NqB779Gt53lOuSRdNOy2srJSsgMrT6akwzDkR+2oWunSX1p4PTqHuM7BZpqmklEArhlm0qO3KF80JmIlIO9S+P6BkufOroyvbSsfztdToweUkOrB+8P0/BQydcLjXdeN4/haUvVw+hBzqTvKoRiWV+sBwuxZe+Et0vSnjzvzPL8jh1A0+Dqf2JQmqWjiuHLKxOjc2ZX5KqvSmH+ZurQKcKnWqVfern7XnURndi8bvrXAuE13zrzorDy8rzOFvC9+DmVzuS8TjKs6QZGRMH+ZHXNvcsWUHz1ZsheVxFe04/tkzNpfQKVaRWam9nIXMadUwmrcetNelP+SqVxqv8U8zyXeL/iuMH5Jgs/mJ5UHNO6yLBLWXtI5/fxdnYEwPyhgybickesiuaVEcl12Qcs2zOi7pOBOlf1NaXHdxqbDZGV1pCqBkdFcC/tA1XzO+epuTHlTzqDuGmfZi2o735QvuOJFj7EMfZQlyEpIxkcz7H5yp16IMo9nqg6PwGM1zDnSCeWWSR+enckaySJvlwxIQV6w4JtVuv3RgjopVG9zzhfvoNs6xTRNaOjX2vF9TBjs6K/R63SWrYvPag8XzX3CQr3guHnoHYQJqUk5v3ZtXnFY+f4RSC76U+apw9PZxJEhw5vK5TiOWEtfH+G7JRzes0nJxBNLzf5xqJdZDP+1iJnweMwXGY4q7m+HgaJmwlJdBN6bUR1al+6VGqBOp2Y/Cv+Ir/7sg2YQlEFfvpaUfSaTk0I1OTOCi5sjLOMwnqQsitHXyTKsWWPvum6PqSYoZvnoCbuNLkKmlmTDwTRNmVJfMXY3b7L4BOE6jfvbGwtDoEc7G75T9GfTGaLfr1fHKGBGgjxg6d63dZ7Ch7WaGzHlvdMAZd5lzB1hNrDVNt86mUmKvidqJhKbjH5L3pMHdg9t6hELiS6OtvbIDfkeiEzm73FKtZfKOSR/m2TbPcwXpt3loqSGi1LS63xwydWImVQ74svHIi2rrYu6uUMbpk4cT2mDaqYrtmKA+nVREbbT6Y2ne1iYDXPFqXgJLisqMp9B+GqTnykIpZBJ7ZBCkVAzuqK+oDjkHcIPJHrPm1+NSap+4hr9VwIbhWiO5r8CzDgSjhB65ctKIvZehdcndXCQeLA45+Z57vteHpFsaJvS4dYHKZSYpOTK+nz8hhKmy6Kg34yufEJuIG/YrIhPy6r7gG1EdMxU8T/aGoSQ34JaRY2YZVvjpQ5khVlWnGQx6tfmm99thJH9aHrNUxYnxaMp9ez9PnXSD5/VcXWfF7Up1bh6hpvyttDF18r31UDnLi+++XKNyih6vEvXBn495ciDEtVB7qlQz/gtUeH+bsGLNv/6wD0GkXMzIBat6Def2YeVup75VqWMtzlaiHHv8HWpO6XyMz9d+iEZgZF3jpI7wyylPvtMAWvgTYvrB9HuRoZU/7+iLTAfTZmVjAVYz1ZhEoc808fbmEc+dvLNp9Wa6pD2uLl+xHcof5t2yDGeVHrzl/lJnyhwcr4Vpmul9rWJJTD0LJCf9N46gCslC/73lAJ3Sim0p9lhAaWlritFivwhFvAu22PncEinMo/joItT82jfWzJeoc9Mj/MzdPbkczbegKZHvX8WjvSEw54vb5eX6g5v8iNfrnzFl1Z4CoqKP+jxNOUidemr88OHHijNzfJTdDB1yq/johJJ4ocftri9hqXQ/zVZdYGr1UWlmNQG8kx16VKY3OrsZW4zP93AYQdIZVtXi77N/G1uOwXdnUraItWjwm6TarLXKOmWOp/6gz3MtukzN3ebf7N0/yurxczrw9nipZR0gnAbhOnrejDV+wbkqdROi1Pyb0JcpMqia1VnVWbc+qfw7/2yI+32v7Pp/MBq+ob7Ow2MCjkU0NTSeXk/5nDAlSLotjDZ3lU4ExNLQ5SSsyhMMOxROucl34hoGC/ns6RPRuWBqAumOyF7FBU1Ehqdbm6V/OtMv9+PZkzRn8wXch2pspgvShcq81VES3e1FA+HSCGUIjLuhz9J5o3RKWzQ69B2mIzwy/Su6J1TEArs3N6FmU0+wegMQ+fcyGZk2PSoQ33rMJ/SsfNKW7Qbp7qT0TyiidzGr8SAKqFyB6fUWlY+9HHUwePqZTGkX7KnGmt6OiRqyeoiUr60vdZHmOunVjvzC+8mw3cuHXvvp7JTmELCpyYVxTbqQ/jCW6Ig/hiibKWSNdf1DqRoj8p0m5dzrk+pmuc5mtuUL0YmP5m9Sve7SFFUHFOh4xoQAZDqbZ/KecYX5ZBw6Cm5cjpyNvVTpajToxruPfmCPBXe6jYPnF05a6SOrUyRufmFUTuDpKatXqdsdC0MYHMPFBXN0Mp2aAyX0zSdNaCH3/wNQ9X+sCq8X+1GpbuZK9yL7xSHUJpRh1cEGgCn9FVRQ/tnjk2T7qF79aGGfb83M0XFMZVoFeEU43AUu78/wQd8WZbCSis3VWlkR9XT+XuGdV2ffYX3/oVmuhQJzS2bhDLnp0bJV8I9GgYMaIV3mj/CHKaMZmcJ9eh3d/hFhAJYpI5gdj7eCUXFf3x29nfIC53j/v40juNT+oTe8IX6LxfMN5Tu5Tp/amvu1eCIC33KxaH0OozQHjV+VjKpEiYVaU1zbs95s9SZXbfRXajvvOsdKCr+Q1pF6+xVmQtd4jijqJCTPT7hUxcNsqGtI7oiWpgf3LM/XCHDG24QFRlXAhdYDJDJ6LdtHFrCpK4DDpeCXAzvDCsZ92fCAXykRNHXmexFM6ZdPKI2ojd7lNFjwnrQkyG8S+pcOo/3HlE+0Uba70NSjjbf5dzvdFUz0mxyKMKdGyPx9vz2YGky7YtttnGGHqjylLvMxzT6cUYdB6ViQ29RcSc1P4XbXC/yMZUhdc86y+7KhTTcQ6s3rxgHWb1ZOr9x+iIyVSebJKLtontadEMJPpkTexeEHPpJ3slbWiq1QWEPdk3pO7UT7ctZlaEjP27oCZwLdqsIOjPmy7ptp5eBosKiG+ZOOaHndId5CzdSaM/uaFc77MRvEsqJTJ/Wk6nUT2ZE01/jde1iZtb5F+mbzZ0lBfzINx9WrCbqyA90uyxB5IwrSvRUW0jOTR4WdRBW+NOJOYc869UJYJmsHt4TTfzZp87l58IFlvCOr+fLFEYu07kyOcz8lPf3J+S7aTcGYj1QVBBCCDmAy9qEEEIOoKgghBByAEUFIYSQAygqCCGEHEBRQQgh5ACKCkJeZBiGrutCF8xoWHhcDP2bM3EdCKkHOssS8gqQEMMwzPOsPyIETDSfFS7i72VZJFRGeJGQOqFWQcjTeO+3bUPEnlAqhPeLGNCxFKMXCakTigpCngbxyaOGIzlcoYTKgxkTIvzz6QwQ0hjDMGzblgo5vG1bVITIIaN5wlinVDhIDVBUEPIECBDtEifB6fjShqic0NYqvXShn+JqIqkBGqAIeQIdcjz8NWN9kuNXO0UobxA6VAepPi3rhLwBtQpCnqbv+6jqkLI+OaWFaFmiVY1hGKBA4HByR7coUhMUFYQ8QSacdcb65B5rFdM0GVkSGqbk4DzKCVIPNEAR8jSpQTxzvG7hqcjrukJ4UE6QqqCoIOQJMuP4PM+Z8T26DB7KD6xsU6UgtUFRQchzRFWH105O1PJjXVdxr5LUGPODVALXKggpBUN5ZjUi9aCM+NA8kIK+6P4uWojM4B49UgmMAUVIEbLvgZ8M+UFogCLkAKwoQAngRgfym1CrIOSAruskLAe/F/KbUKsgJAdUCmyJoJwgPwu1CkIIIQdQqyCEEHIARQUhhJADKCoIIYQcQFFBCCHkAIoKQsjTMOjIr0EPKNIS3ntzMBw2UYfBvV0QSUluQCL50yAQWmPf92jU8XVdvfeFwWKxLSMzsJobuq7r+z6feOog1WiccwF51imHEdF13Wp5gCJ77/FeqR/9uLRFJue4bRgGSpq2YAwocgkypmBcOCtOaup0h8wZpfKIDHyy+xpPpQ4lRVhAiQrunNv3HWLGBUEDU4LqkPCUC2z3y0/bt23D+d76QdkCknpQDk1yKsyU0Pe9HuVRUi1atm0bxxGV4GIb13EnWly3FEqEGkMGGDe3PXZCTiUcQbB5TYMhqe/7ZxMPO22mG+PV+l0YrTAm6kNJo8/2fS9lKcyYoIsWrQHzYN/3Jlc682Emo7mSm/PZQ7L6kVRDIDPLsiB7h2MIUkPi4f14C+5J1QapFmoV5ExggpDZbqgEAFhCcLxoyew7ajaBsUVfwUVjvUEeZMIrk2Xk0EzMh2GQeTcm0SZ995ibGzvPnjDkih6jzV86Kfc4nULUIzPjRhlPnIbrRpGKknxGzVPQYEw6fd9Hr7u/6osQPbGDtAJFBTkTWRXIiwqnzBQl5iltBdLJyh96bAptMtM0ySAo1iexhEA8YOlCViCQMh40YxweyUs4CUMLYC/Sj+NvSUREhSEfeCo0IkUxWUVqKLU2OoWNpWtS8r8/rHBIIXN2LGD4rC/hozoN+SpCAwj+K9GTDu8/JJN+aNnQnfxwrTV8USrZVK5SaR7m8DC6VPkbozebspuaMbeZR8K8hf+Nvsi81Ji88vVJKoTOsuRkQovEPM+Y/3Zdp+eb565tZjSYruuGYZDBK8zhHht8xVrlgpNNYTeTi7D+S7L472G4cqNbmNWIZVlkUcFkSR6ETiBvRwZwQ9d1oj+ZmjG6iPce7aLX/80jKUGb8rbq+957bxbJ87VBaucT8ol8J+hRegk32uXCGzKrvgKGTrlfhmYMkftjIdrkR4ZsbWnBs3ogS70oj8l2dIkYFyEG9IRacuXURD7EvKU8Yyi4FCdcLZdX42J0AV/qqrAedA2YrKLC98dy92Fzk9pgm5HTCAdQGc33v2NH5pF84mb02dVYHKbjCmw70fzo9KM3R60o7uE0FQ7u0b9FJsmVFIW1XVJ7cr8RFfoPU4EitLQSIyIkLGzeXSp8C2kCGqDI5ZijpF9GJuw6WfyLNeTQohVdK56UuSZ8hYyM2s6j7+m6LrUCLEvi8uy6rtEXaTuSpBAmm3Ehkxu6AFPV+C8KBRNW13VRf6QpZjKSrG7bNiuQQtisuL7/dZs+FB6kdj4pp8h3gR41pe1LMhJlHskkLreZp1Kd2XT11GgV3VXglPFK21Wij5hJN+4RpcHkM3wwmtv8RyoZC6f5LrYJI6Mh6T+ibScjvtEqUvWgDV+6NsIik4agVkHuI7rP+SymmB1fj57uYSASywl+Snl8ur+naut79AB5uKoAAAH3SURBVFRaFoFl0o3r4zji76fUqajxKrxtGIZ93/1fJIdhVlEQXRvQqyRvqU3vxus3zEbqIvybtTdzssykCT4lo8j3gR6V0SpSN5Qnvgd+nFNsCUQeCRWawg/BPWTJlFjtkDt1yqGiYwo7xVbCU5Xz7AQ8en+Y1bD+o5Wgi5CqvUxx9qDOdbLlhSKVwC145DSwfTe8omeXk3KvfGGmGTp6iqaybVsmMJ/Zl2cCKEWN+0jZTJwlkJEE9ROdI4zj5P5a/EsKGN1pWEj0/l0N+iZL2tlXfIJDRUG2B5q6TW0A1FUxqT2M9Jdtm0/LKvI9hEsRYu0BxoYeTnIzuGBZG8CYbl4kt0UTz8zWzURYv1HcPbUJK5qI+VWnGa0BXSizVaLkCzW1Ed6gFxtMJnV+zOvMwkN09IhqFSUcForUBtuMnEl+DDW4xJJy4Vuw8KCvY4SVi+HQLLdlRisROTpvhSXaH6OqeW84LkuyRv7pe/Svh29MVaZeANf5CWvPuPmmEtHL2lFREa1zWeXmvopG4XkV5ExgkAmj6YXoyEs3ZY7UQdTMRSqHooKcD8RApmshKka4t4AQUicUFYQQQg7gvgpCCCEHUFQQQgg5gKKCEELIARQVhBBCDqCoIIQQcgBFBSGEkAMoKgghhBxAUUEIIeQAigpCCCEH/B+V1jrKkYiIjQAAAABJRU5ErkJggg==

忆若华发 发表于 2014-12-15 19:29

C:\Users\Administrator\Desktop

忆若华发 发表于 2014-12-16 09:18

ruan 发表于 2015-5-9 21:39

底部噪声水平较高,干扰所致。
页: [1]
查看完整版本: 频谱图中的“频率模糊”是指的什么意思?