摘要
基于信号数据矩阵结构及其矩阵变换的广义特征值分解，提出了一种新的、计算时效高和参数自动配对的二维正弦频率分离估计方法。计算机模拟实验比较、证实了此方法的有效性。
Based on the architecture of the signal data matrix and generalized eigen value decomposition of its transformed matrix pencils, a novel and computational efficient method for separately estimating multiple two-dimensional sinusoidal frequency is proposed in this paper. Moreover, the estimated two-dimensional sinusoidal frequency is paired automatically. Its effectiveness is compared with eigen matrix transform method and confirmed by computer simulation.
出处
《西南石油学院学报》
CSCD
1998年第4期78-80,共3页
Journal of Southwest Petroleum Institute
关键词
频率估计
参数估计
图象信号处理
计算机
Signal
Data
Matrix
Singular value
Characyeristic Value
Separation
Estimations.
