Fast music spectrum peak search VIA Metropolis‐Hastings sampler

Authors

Qinghua Guo, Xidian UniversityFollow
Guisheng Liao, Xidian University

RIS ID

79503

Publication Details

Q. Guo & G. Liao, "Fast music spectrum peak search VIA Metropolis‐Hastings sampler," Journal of Electronics, vol. 22, (6) pp. 599-604, 2005.

Abstract

A fast MUltiple SIgnal Classification (MUSIC) spectrum peak search algorithm is devised, which regards the power of the MUSIC spectrum function as target distribution up to a constant of proportionality, and uses Metropolis-Hastings (MH) sampler, one of the most popular Markov Chain Monte Carlo (MCMC) techniques, to sample from it. The proposed method reduces greatly the tremendous computation and storage costs in conventional MUSIC techniques i.e., about two and four orders of magnitude in computation and storage costs under the conditions of the experiment in the paper respectively.