A robust periodogram for high-resolution spectral analysis

DOI10.1016/j.sigpro.2010.01.012zbMath1194.94105OpenAlexW2088581284MaRDI QIDQ985525

Ta-Hsin Li

Publication date: 6 August 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.01.012

zbMATH Keywords

robustspectrumfrequency estimationnonlinearperiodogramregressionoutlierheavy tailleast absolute deviationsharmonicnon-Gaussiansinusoid

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (4)

Nonlinear Spectral Analysis: A Local Gaussian Approach ⋮ On robust spectral analysis by least absolute deviations ⋮ Robust \(M\)-periodogram with dichotomous search ⋮ Composite Quantile Periodogram for Spectral Analysis

Cites Work

• Unnamed Item
• Unnamed Item
• The Gaussian hare and the Laplacian tortoise: computability of squared-error versus absolute-error estimators. With comments by Ronald A. Thisted and M. R. Osborne and a rejoinder by the authors
• Statistical data analysis based on the \(L_1\)-norm and related methods. With the technical assistance of Giuseppe Melfi. Papers of the 4th international conference on statistical analysis on the \(L_1\)-norm and related methods, Neuchâtel, Switzerland, August 4--9, 2002
• Robust M-estimates of the frequency and amplitude of a complex-valued harmonic.
• Laplace Periodogram for Time Series Analysis
• Single tone parameter estimation from discrete-time observations
• Estimation of the Parameters of Sinusoidal Signals in Non-Gaussian Noise
• THE RESOLUTION OF CLOSELY ADJACENT SPECTRAL LINES
• A Simplex Method for Function Minimization
• On the estimation of a harmonic component in a time series with stationary independent residuals

This page was built for publication: A robust periodogram for high-resolution spectral analysis