Matrix analysis
Multiplicative noise models: parameter estimation using cumulants
Signal Processing - Special issue on higher order statistics
2-D harmonic retrieval using higher-order statistics
Multidimensional Systems and Signal Processing
Harmonic retrieval in complex noises based on wavelet transform
Digital Signal Processing
Estimating two-dimensional frequencies by matrix enhancement andmatrix pencil
IEEE Transactions on Signal Processing
Estimating two-dimensional frequencies by a cumulant-based FBLPmethod
IEEE Transactions on Signal Processing
Estimation of frequencies and damping factors by two-dimensionalESPRIT type methods
IEEE Transactions on Signal Processing
Harmonics in multiplicative and additive noise: parameterestimation using cyclic statistics
IEEE Transactions on Signal Processing
Two-dimensional harmonic retrieval and its time-domain analysis technique
IEEE Transactions on Information Theory
Hi-index | 0.00 |
This paper proposes a method for detecting the number of two-dimensional (2-D) harmonics in multiplicative and additive noise. We define an enhanced matrix using the generalized covariances of 2-D harmonics in multiplicative and additive noise and derive an inherent relation between the number of 2-D harmonics and the eigenvalues of the enhanced matrix. The number of 2-D harmonics in multiplicative and additive noise could be detected based on this special relation. The proposed method avoids the peaks searching and does not need any assumptions about the distribution and color of the multiplicative and additive noise. The computation complexity of the proposed method is analyzed. Simulations demonstrate the effectiveness of the proposed method.