Prolate spheroidal wave functions, fourier analysis and uncertainty — II

By D. Slepian, H. Pollak. 1961

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

1. Fabrizio Colombo
2. Irene Sabadini
3. Daniele C. Struppa
4. Nathanael Perraudin
5. Graziano Gentili
6. Pierre Vandergheynst
7. Andrea Massa
8. Giacomo Oliveri

Citations in the corpus

• Maximum Efficiency Beam Synthesis of Radiating Planar Arrays for Wireless Power Transmission (2013, methodology): “Concerning linear arrangements, the optimal solution for maximizing BCE is obtained by exploiting the discrete prolate spheroidal sequences (DPSSs) [19]–[21].”
• Signals on Graphs: Uncertainty Principle and Sampling (2015, methodology): “The vectors {ψi} are the counterpart of the prolate spheroidal wave functions introduced by Slepian and Pollack for continuous-time signals [30].”
• Spectral Analysis of Signals (2009, background): “Note that the eigenvectors of Γ are called the Slepian sequences [Slepian 1964] (as already indicated in (5.”
• A Survey on Multicarrier Communications: Prototype Filters, Lattice Structures, and Implementation Aspects (2012, unknown): “PSWFs have many appealing properties [67], [71].”