Results 241 to 250 of about 72,082 (280)

Widely Linear Quaternion-Valued Least-Mean Kurtosis Algorithm [PDF]

open access: yesIEEE Transactions on Signal Processing, 2020
A widely linear quaternion-valued least-mean kurtosis (WL-QLMK) algorithm is introduced for adaptive filtering of quaternion-valued circular and noncircular signals. In the design, kurtosis-based cost function is first defined in the quaternion domain by integrating the widely linear model, and augmented statistics, and then minimized using the ...
Engin Cemal Menguc   +2 more
exaly   +5 more sources

Spatiotemporal dynamics of diffusional kurtosis, mean diffusivity and perfusion changes in experimental stroke [PDF]

open access: yesBrain Research, 2012
Diffusional kurtosis imaging (DKI), which measures the non-Gaussianity of water diffusion, has been demonstrated to be a sensitive biomarker in many neuropathologies. The goal of this study was to longitudinally examine the spatiotemporal dynamics of DKI in cerebral ischemia in an animal model of permanent and transient (45 min) middle cerebral artery ...
Edward S Hui   +2 more
exaly   +6 more sources

Sparsity-aware complex-valued least mean kurtosis algorithms [PDF]

open access: yesSignal Processing
Complex-valued least mean kurtosis (CLMK) algorithm and its augmented version (ACLMK) have recently become popular as workhorse tools in the processing of complex-valued signals due to their superior performances. Unfortunately, they are not yet suitable for sparse system identification problems.
Engin Cemal Menguc
exaly   +4 more sources

An Augmented Complex-Valued Least-Mean Kurtosis Algorithm for the Filtering of Noncircular Signals [PDF]

open access: yesIEEE Transactions on Signal Processing, 2018
In this paper, a novel augmented complex-valued least-mean kurtosis (ACLMK) algorithm is proposed for processing complex-valued signals. The negated kurtosis of the complex-valued error signal is defined as a cost function by using augmented statistics.
Engin Cemal Menguc, Nurettin Acir
exaly   +6 more sources

Diffusion least mean kurtosis algorithm and its performance analysis

Information Sciences, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jingen Ni, Hing Cheung So
exaly   +3 more sources

Experimentally and computationally fast method for estimation of a mean kurtosis

Magnetic Resonance in Medicine, 2013
AbstractPurposeResults from several recent studies suggest the magnetic resonance diffusion‐derived metric mean kurtosis (MK) to be a sensitive marker for tissue pathology; however, lengthy acquisition and postprocessing time hamper further exploration.
Brian Hansen   +2 more
exaly   +4 more sources

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