Prolate spheroidal wave functions, an introduction to the Slepian series and its properties

By I. Moore, M. Čada. 2004

120 citations recorded by the source corpus.

Subfields: Applied Mathematics, Computer Vision and Pattern Recognition, Geophysics

View Paper: https://www.semanticscholar.org/paper/a505ae7ed07949b1754b96b3328087ba1c63cf91

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. João Pedro Morais
2. Kit Ian Kou
3. Huseyin Arslan
4. Ismail Güvenç
5. Alphan Șahin
6. Jianyu Ou
7. Tao Qian

In Computer Vision and Pattern Recognition

1. João Pedro Morais
2. Huseyin Arslan
3. Kit Ian Kou
4. Ismail Güvenç
5. Alphan Șahin

In Geophysics

1. Huseyin Arslan
2. Ismail Güvenç
3. Alphan Șahin

Citations in the corpus

• Generalized prolate spheroidal wave functions for offset linear canonical transform in Clifford analysis (2013, background): “Prolate spheroidal wave functions In this subsection, we review and extend some relevant properties of the PSWFs, most of which can be founded for example in [3, 13, 19, 20].”
• A Survey on Multicarrier Communications: Prototype Filters, Lattice Structures, and Implementation Aspects (2012, background): “Also, it fulfills the Nyquist criterion as there are nulls located at the integer multiples ofT and F .”