circular convolution造句

• The motivation behind using the circular convolution approach is that it is based on the DFT . The premise behind circular convolution is to take the DFTs of the input signals, multiply them together, and then take the inverse DFT . Care must be taken such that a large enough DFT is used such that aliasing does not occur.
• If the signal happens to be periodic, i . e . x = ( \ ldots, 2, 3,-1, 2, 3,-1, \ ldots ), then we get a circular autocorrelation ( similar to circular convolution ) where the left and right tails of the previous autocorrelation sequence will overlap and give R _ { xx } = ( \ ldots, 14, 1, 1, 14, 1, 1, \ ldots ) which has the same period as the signal sequence x.