Digital spectral analysis: with applications
Digital spectral analysis: with applications
Fast parallel algorithms for QR and triangular factorization
SIAM Journal on Scientific and Statistical Computing
Displacement structure: theory and applications
SIAM Review
Linear system theory (2nd ed.)
Linear system theory (2nd ed.)
Stabilizing the Generalized Schur Algorithm
SIAM Journal on Matrix Analysis and Applications
Matched-filter bank interpretation of some spectral estimators
Signal Processing
Fast reliable algorithms for matrices with structure
Fast reliable algorithms for matrices with structure
An adaptive filtering approach to spectral estimation and SARimaging
IEEE Transactions on Signal Processing
Computationally efficient two-dimensional Capon spectrum analysis
IEEE Transactions on Signal Processing
Performance analysis of forward-backward matched-filterbankspectral estimators
IEEE Transactions on Signal Processing
Using APES for interferometric SAR imaging
IEEE Transactions on Image Processing
Spectral estimation via adaptive filterbank methods: a unified analysis and a new algorithm
Signal Processing - Signal processing with heavy-tailed models
Efficient algorithms for adaptive capon and APES spectral estimation
IEEE Transactions on Signal Processing
Multi-dimensional Capon spectral estimation using discrete Zhang neural networks
Multidimensional Systems and Signal Processing
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The matched-filterbank spectral estimators APES and CAPON have recently received considerable attention in a number of applications. Unfortunately, their computational complexity tends to limit their usage in several cases – a problem that has previously been addressed by different authors. In this paper, we introduce a novel approach to the computation of the APES and CAPON spectra, which leads to a computational method that is considerably faster than all existing techniques. The new implementations of APES and CAPON are called fast APES and fast CAPON, respectively, and are developed for the two-dimensional case, with the one-dimensional case as a special case. Numerical examples are provided to demonstrate the application of APES to synthetic aperture radar (SAR) imaging, and to illustrate the reduction in computational complexity provided by our method.