| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10369458 | Signal Processing | 2013 | 17 Pages |
Abstract
⺠The Heisenberg Uncertainty Principles for the 2-D NSLCT are derived. ⺠The derived principles can be applied to 2-D FRFTs, 2-D LCTs, and gyrator transforms. ⺠The principles for the real input case and the case where det(B)=0 are also derived. ⺠The functions that can achieve the lower bound of the inequality are also found.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Jian-Jiun Ding, Soo-Chang Pei,