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An empirical eigenvalue-threshold test for sparsity level estimation from compressed measurements
(IEEE, 2014)
Compressed sensing allows for a significant reduction of the number of measurements when the signal of interest is of a sparse nature. Most computationally efficient algorithms for signal recovery rely on some knowledge ...
A wavelet based recursive reconstruction algorithm for linear measurements
(IEEE, 1996)
A recursive algorithm is proposed to obtain an efficient regularized least squares solution to large linear system of equations which arises in many physical measurement models. The algorithm recursively updates the solution ...
Bilgisayarlı iyonosfer tomografisinde açılım işlevlerinin ve yeniden yapılandırma algoritmalarının model üzerinden karşılaştırılması
(IEEE, 2005-05)
Bilgisayarlı İyonosfer Tomografisi (BİT), iyonosfer elektron yoğunluğunun iki boyutlu veya üç boyutlu olarak görüntülenmesi için kullanılan bir yöntemdir. Bu yöntem özellikle iyonosfer fiziği veya uydu haberleşmesi gibi ...
Adaptive filtering approaches for non-Gaussian stable processes
(IEEE, 1995-05)
A large class of physical phenomenon observed in practice exhibit non-Gaussian behavior. In this paper, α-stable distributions, which have heavier tails than Gaussian distribution, are considered to model non-Gaussian ...
Optimal filtering in fractional Fourier domains
(IEEE, 1995)
The ordinary Fourier transform is suited best for analysis and processing of time-invariant signals and systems. When we are dealing with time-varying signals and systems, filtering in fractional Fourier domains might allow ...