Estimation of Two Closely Spaced Frequencies Buried in White Noise Using Linear Programming

Jaroslav Keybl; George Eichmann

doi:10.1364/SRS.1983.WA18

Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints
Technical Digest Series (Optica Publishing Group, 1983),
paper WA18
•https://doi.org/10.1364/SRS.1983.WA18

Estimation of Two Closely Spaced Frequencies Buried in White Noise Using Linear Programming

Jaroslav Keybl and George Eichmann

Signal Recovery and Synthesis 1983

Incline Village, Nevada United States
12–14 January 1983
ISBN:

From the session
Session 1: Extrapolation and Restoration I (WA)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
J. Keybl and G. Eichmann, "Estimation of Two Closely Spaced Frequencies Buried in White Noise Using Linear Programming," in Topical Meeting on Signal Recovery and Synthesis with Incomplete Information and Partial Constraints, Technical Digest Series (Optica Publishing Group, 1983), paper WA18.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

Linear programming is used to estimate the spectrum of two sinusoids signals closely-spaced in frequency buried in deep white gaussian noise by employing a-priori knowledge of the spectrum. The method will be illustrated by a number of examples.

PDF Article

More Like This

Signal Deconvolution Using Frequency and Time Domain Magnitude Constraints

H.J. Trussell and P.N. Sura
WA14 Signal Recovery and Synthesis (SRS) 1983

Linear Estimation with a Size Constraint

M. J. Lahart
FA5 Signal Recovery and Synthesis (SRS) 1983

A Novel Hankel Approximation Method for Arma Pole-Zero Estimation from Noisy Covariance Data*

S.Y. Kung and K.S. Arun
WA19 Signal Recovery and Synthesis (SRS) 1983

Previous Article Next Article