A 2-D robust high-resolution frequency estimation approach
Signal Processing
A novel algorithm for two-dimensional frequency estimation
Signal Processing
An efficient approach for two-dimensional parameter estimation of a single-tone
IEEE Transactions on Signal Processing
Two-dimensional harmonic retrieval in correlative noise based on genetic algorithm
EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Detecting the number of 2-D harmonics in multiplicative and additive noise using enhanced matrix
Digital Signal Processing
| Hi-index | 35.69 |
In this paper, we consider two-dimensional (2-D) signals modeled by the sum of damped cisoids. We propose two high-resolution approaches to estimate their frequencies and damping factors. Both high-resolution methods are based on the shift-invariance structure of the signal subspace related to each dimension. The first one estimates the frequency components in both dimensions as in the matrix enhancement and matrix pencil (MEMP) method before pairing them with a new algorithm. The second one consists of the direct estimation of the signal frequency pairs without an additional step to pair the frequencies related to each dimension. We show how these methods can estimate the scattering points of radar images