Endmember extraction is of prime importance in the process of hyperspectral unmixing so as to study the mineral composition of a landscape from its hyperspectral observations. Tho...
Decision algorithms are developed that use periods of intracranial non-seizure (interictal) EEG to localize epileptogenic networks. Depth and surface recordings are considered fro...
Justin Dauwels, Emad N. Eskandar, Andy Cole, Dan H...
We study the problem of automatic “reduced reference” image quality assessment algorithms from the point of view of image information change. Algorithms that measure differenc...
In this paper, a new fast Hartley transform (FHT) algorithmradix-22 suitable for pipeline implementation of the discrete Hartley transform (DHT) is presented. The proposed algorit...
In previous work, a water-filling algorithm was proposed which sought to minimize the mean square error (MSE) at any given time by optimally choosing the gains (i.e. step-sizes) ...
Autofocus algorithms deal with image restoration in a nonideal synthetic aperture radar (SAR) imaging system. We propose a novel autofocus algorithm, denoted as MLA, that is based...
Existing optimization algorithms for the multiplierless realization of multiple constant multiplications (MCM) typically target the minimization of the number of addition and subt...
Levent Aksoy, Eduardo Costa, Paulo F. Flores, Jos&...
— In many application of noise cancellation, the changes in signal characteristics could be quite fast. This requires the utilization of adaptive algorithms, which converge rapid...
We propose a method and algorithm for computing the weighted MoorePenrose inverse of one-variable rational matrices. Also, we develop an algorithm for computing the weighted Moore...
Milan B. Tasic, Predrag S. Stanimirovic, Marko D. ...
Eigenvectors of data matrices play an important role in many computational problems, ranging from signal processing to machine learning and control. For instance, algorithms that ...