The following publications are possibly variants of this publication:
- Hirschman Optimal Transform Block LMS Adaptive FilterOsama Alkhouli, Victor E. DeBrunner. icassp 2007: 1305-1308 [doi]
- Hardware implementation of the Hirschman Optimal TransformSoumak Mookherjee, Linda DeBrunner, Victor E. DeBrunner. acssc 2012: 1448-1451 [doi]
- How the Discrete Hirschman Transform Inherits its Eigenstructure from the DFTRajesh Thomas, Victor E. DeBrunner, Linda DeBrunner. acssc 2020: 858-862 [doi]
- The optimal transform for the discrete Hirschman uncertainty principleTomasz Przebinda, Victor E. DeBrunner, Murad Özaydin. TIT, 47(5):2086-2090, 2001.
- Split-Radix Algorithm for the Discrete Hirschman TransformDingli Xue, Linda S. DeBrunner, Victor E. DeBrunner, Zhen Huang. spl, 29:199-203, 2022. [doi]
- An algorithm to reduce the complexity required to convolve finite length sequences using the Hirschman optimal transform (HOT)Victor E. DeBrunner, Ewa Matusiak. icassp 2003: 577-580 [doi]
- An effective hardware implementation of 1024-point linear convolution based on Hirschman Optimal TransformDingli Xue, Linda S. DeBrunner. acssc 2017: 1347-1350 [doi]
- High-resolution non-parametric spectral estimation using the Hirschman optimal transformGuifeng Liu, Victor E. DeBrunner. icassp 2012: 3721-3724 [doi]
- Spectral estimation with the Hirschman optimal transform filter bank and compressive sensingGuifeng Liu, Victor E. DeBrunner. icassp 2013: 6230-6233 [doi]