Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Pisarenko harmonic decomposition

Known as: Pisarenko 
Pisarenko harmonic decomposition, also referred to as Pisarenko's method, is a method of frequency estimation. This method assumes that a signal… Expand
Wikipedia

Related topics

Related topics

4 relations
Autocorrelation matrixMUSIC (algorithm)Spectral density estimation

Broader (1)

Digital signal processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
A unified approach to sparse signal processing
A unified view of the area of sparse signal processing is presented in tutorial form by bringing together various fields in which… Expand
  • figure 1
  • figure 2
  • table 1
  • table 1
  • table 2
Highly Cited
2004
Highly Cited
2004
Reformulation of Pisarenko harmonic decomposition method for single-tone frequency estimation
  • H. So, K. Chan
  • IEEE Transactions on Signal Processing
  • 2004
    • Corpus ID: 1478583
Based on the linear prediction (LP) property of sinusoidal signals, a closed-form unbiased frequency estimator for a real… Expand
  • figure 1
  • figure 4
  • figure 2
  • figure 3
  • figure 5
2002
2002
A novel approach to in-band interference mitigation in ultra wideband radio systems
Ultra wideband (UWB) radio transmission is a very important topic and, at present, a lot of work is devoted to increasing the use… Expand
  • figure 2
  • figure 3
  • figure 4
  • figure 4
  • figure 3
Highly Cited
1999
Highly Cited
1999
Group-velocity tomography of South America and the surrounding oceans
SUMMARY This paper presents the results of a study of the dispersion characteristics of broadband fundamental-mode surface waves… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Highly Cited
1999
Highly Cited
1999
Root-MUSIC-based azimuth-elevation angle-of-arrival estimation with uniformly spaced but arbitrarily oriented velocity hydrophones
This novel underwater acoustic azimuth-elevation source localization scheme realizes the eigenstructure-based polynomial rooting… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
1988
1988
Study of the statistical performance of the Pisarenko harmonic decomposition method
A self-contained statistical analysis of the Pisarenko method for estimating sinusoidal frequencies from signal measurements… Expand
  • figure 1
  • figure 2
Highly Cited
1986
Highly Cited
1986
ESPRIT-A subspace rotation approach to estimation of parameters of cisoids in noise
The application of a subspace invariance approach (ESPRIT) to the estimation of parameters (frequencies and powers) of cisoids in… Expand
Highly Cited
1986
Highly Cited
1986
The split Levinson algorithm
The classical Levinson algorithm for computing the predictor polynomial relative to a real positive definite Toeplitz matrix is… Expand
1986
1986
An efficient algorithm for computing Pisarenko's harmonic decomposition using Levinson's recursion
The harmonic decomposition of a random process into a sum of sinusoids in white noise is an important problem with applications… Expand
  • figure I
  • table I
Review
1981
Review
1981
Spectrum analysis—A modern perspective
A summary of many of the new techniques developed in the last two decades for spectrum analysis of discrete time series is… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • table I
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE