Adaptive LPA beamforming for moving sources
Signal Processing
Fast Implementation of Two-Dimensional APES and CAPON Spectral Estimators
Multidimensional Systems and Signal Processing
Spectral estimation via adaptive filterbank methods: a unified analysis and a new algorithm
Signal Processing - Signal processing with heavy-tailed models
SAR Image Superresolution via 2-D Adaptive Extrapolation
Multidimensional Systems and Signal Processing
On the forward-backward spatial APES
Signal Processing
Adaptive beamforming for quadrupole resonance
Digital Signal Processing
Recursive and fast recursive capon spectral estimators
EURASIP Journal on Applied Signal Processing
Review of user parameter-free robust adaptive beamforming algorithms
Digital Signal Processing
Superresolution algorithms for spatial extended scattering centers
Digital Signal Processing
Spectral analysis of nouniformly sampled data: a new approach versus the periodogram
IEEE Transactions on Signal Processing
Robust coherence spectrum estimation
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Nonparametric spectral analysis with missing data via the EM algorithm
Digital Signal Processing
High accuracy peak location and amplitude spectral estimation via tuning APES method
Digital Signal Processing
Efficient algorithms for adaptive capon and APES spectral estimation
IEEE Transactions on Signal Processing
Optimal filters for extraction and separation of periodic sources
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Optimal filter designs for separating and enhancing periodic signals
IEEE Transactions on Signal Processing
Periodic signal analysis by maximum likelihood modeling of orbits of nonlinear ODEs
Automatica (Journal of IFAC)
A Bayesian approach to SAR imaging
Digital Signal Processing
A computationally efficient algorithm for the 2D covariance method
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
SAR imaging via efficient implementations of sparse ML approaches
Signal Processing
Hi-index | 35.70 |
We present an adaptive FIR filtering approach, which is referred to as the amplitude and phase estimation of a sinusoid (APES), for complex spectral estimation. We compare the APES algorithm with other FIR filtering approaches including the Welch (1967) and Capon (1969) methods. We also describe how to apply the FIR filtering approaches to target range signature estimation and synthetic aperture radar (SAR) imaging. We show via both numerical and experimental examples that the adaptive FIR filtering approaches such as Capon and APES can yield more accurate spectral estimates with much lower sidelobes and narrower spectral peaks than the FFT method, which is also a special case of the FIR filtering approach. We show that although the APES algorithm yields somewhat wider spectral peaks than the Capon method, the former gives more accurate overall spectral estimates and SAR images than the latter and the FFT method