了解DFT和IDFT

时间:2016-12-05 13:54:27

标签: wolfram-mathematica dft

我正在移动离散傅立叶变换的第一步并尝试在WolframCloud中练习它。

我的第一个实验之一就是输入Heavside函数:在8点{0,0,0,1,1,1,0,0}上采样函数我得到{1.06066,-0.853553,0.353553,0.146447 ,-0.353553,0.146447,0.353553,-0.853553}其情节类似于某个因素的sinc函数。

  1. 案件数量加倍{0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0}程序返回{1.5 + 0.I,-1.16116-0.23097I,0.426777 + 0.176777I,0.143182 + 0.0956709I,-0.25-0.25I,0.0639252 + 0.0956709I,0.0732233 + 0.176777I,-0.0459428-0.23097I,0。 + 0.I,-0.0459428 + 0.23097I,0.0732233 -0.176777I,0.0639252 -0.0956709I,-0.25 + 0.25I,0.143182 -0.0956709I,0.426777 -0.176777I,-1.16116 + 0.23097I}包含非预期的虚部。

  2. 在无助的尝试中,我更好地理解了sinc函数{-3.89817×10 ^ -17,-0.206748,0.413497,1。,0.413497,-0.206748,-3.89817×10- ^ 17,0.103374并且前一个数组上的命令InverseFourier生成{0.536295 + 0.I,-0.37035-0.37035I,0。+ 0.536295I,0.0779633-0.0779633I,0.0484778 + 0.I,0.0779633 + 0.0779633I,0。-0.536295I ,-0.37035 + 0.37035I}与Heviside函数无关。

  3. 有人可以帮我理解更多内容吗?

    非常感谢你 达尼洛

0 个答案:

没有答案