Parametric Modeling for Two-Dimensional Harmonic Signals With Missing Harmonics

被引：11

作者：

Zhou, Zhenhua ^{[1
]}

Christensen, Mads G. ^{[2
]}

Jensen, Jesper R. ^{[2
]}

Zhang, Shengli ^{[1
]}

机构：

[1] Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China

[2] Aalborg Univ, Audio Anal Lab, AD MT, DK-9220 Aalborg, Denmark

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

Fundamental frequency estimation; harmonic detection; two-dimensional harmonic signal; linearly constrained minimum variance beamformer; maximum a posteriori criterion; maximum harmonic model; FUNDAMENTAL-FREQUENCY ESTIMATION; OF-ARRIVAL ESTIMATION; COMPUTATIONALLY EFFICIENT; COPRIME ARRAY; PITCH; DOA; ALGORITHM;

D O I：

10.1109/ACCESS.2019.2907456

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of parametric modeling for the two-dimensional (2-D) harmonic signals with missing harmonics is addressed. The modeling process consists of two parts. First, we devise the joint spatial-temporal linearly constrained minimum variance beamformer and perform the joint estimation of the spatial and temporal fundamental frequencies for each pitch of the signal based on the maximum harmonic model. Second, we differentiate the competing signal models by the number of harmonic components and derive the maximum a posteriori criterion for the 2-D harmonic signals. As a result, the harmonic components of each pitch are detected according to their spectral powers. The simulation and experimental results are provided to show the superiority of the proposed signal modeling methodology over other existing schemes.

引用

页码：48671 / 48688

页数：18

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