Fundamentals of digital image processing
Fundamentals of digital image processing
Displacement structure: theory and applications
SIAM Review
Spectral analysis of nouniformly sampled data: a new approach versus the periodogram
IEEE Transactions on Signal Processing
Fast LMS/Newton algorithms for stereophonic acoustic echo cancelation
IEEE Transactions on Signal Processing
An adaptive filtering approach to spectral estimation and SARimaging
IEEE Transactions on Signal Processing
A fast Newton multichannel algorithm for decision feedbackequalization
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Sparse Learning via Iterative Minimization With Application to MIMO Radar Imaging
IEEE Transactions on Signal Processing
Fast Newton transversal filters-a new class of adaptive estimationalgorithms
IEEE Transactions on Signal Processing
A Fast Algorithm for APES and Capon Spectral Estimation
IEEE Transactions on Signal Processing
SAR imaging via modern 2-D spectral estimation methods
IEEE Transactions on Image Processing
IAA Spectral Estimation: Fast Implementation Using the Gohberg–Semencul Factorization
IEEE Transactions on Signal Processing
Efficient Implementation of Iterative Adaptive Approach Spectral Estimation Techniques
IEEE Transactions on Signal Processing
Superfast Approximative Implementation of the IAA Spectral Estimate
IEEE Transactions on Signal Processing
Hi-index | 0.08 |
High-resolution spectral estimation techniques are of notable interest for synthetic aperture radar (SAR) imaging. Several sparse estimation techniques have been shown to provide significant performance gains as compared to conventional approaches. We consider efficient implementation of the recent iterative sparse maximum likelihood-based approaches (SMLAs). Furthermore, we present approximative fast SMLA formulation using the Quasi-Newton approach, as well as consider hybrid SMLA-MAP algorithms. The effectiveness of the discussed techniques is illustrated using numerical and experimental examples.