Results 51 to 60 of about 5,475,408 (345)
Stochastic analysis of an error power ratio scheme applied to the affine combination of two LMS adaptive filters [PDF]
The affine combination of two adaptive filters that simultaneously adapt on the same inputs has been actively investigated. In these structures, the filter outputs are linearly combined to yield a performance that is better than that of either filter ...
Jean-Yves Tourneret +5 more
core +1 more source
ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
Utilização do algoritmo multisplit LMS em conformadores adaptativos de feixe [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.O processamento espaço-temporal de sinais através de arranjos de antenas é aplicado amplamente nos sistemas de ...
Marra, Guilherme Carneiro
core
The Complex Gaussian Kernel LMS Algorithm [PDF]
Although the real reproducing kernels are used in an increasing number of machine learning problems, complex kernels have not, yet, been used, in spite of their potential interest in applications such as communications. In this work, we focus our attention on the complex gaussian kernel and its possible application in the complex Kernel LMS algorithm ...
Bouboulis, P., Theodoridis, S.
openaire +3 more sources
This study demonstrates that memristors can replace conventional 2T–1C driving circuits with simplified 1T–1 m architectures by exploiting resistance switching. With ultra‐low switching voltages (< ±0.2 V) and multi‐level resistance states, the memristors precisely control the current injected into organic light‐emitting diodes (OLEDs).
Dong Hyun Kim +6 more
wiley +1 more source
Partial updates (PU) of adaptive filters have been successfully applied in different contexts to lower the computational costs of many control systems. In a PU adaptive algorithm, only a fraction of the coefficients is updated per iteration. Particularly,
Pedro Ramos Lorente +3 more
doaj +1 more source
Análise estatística dos momentos de primeira e segunda ordens dos algoritmos DLMS e LMS de erro filtrado modificados [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Neste trabalho, são propostos modelos analíticos para os algoritmos delayed least-mean-square (DLMS) e least-mean-square
López, Juan Rodrigo Velásquez
core
A New Adaptive Constrained LMS Time Delay Estimation Algorithm
In this paper, a new adaptive constrained LMS time delay estimation (TDE) algorithm is devised. It is known that in the TDE problem, the time differences between relevant sensors can be modeled as a finite impulse response (FIR) filter whose weight ...
陳巽璋; Lin, S.N.
core +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
In this paper, the fast least-mean-squares (LMS) algorithm was used to both eliminate noise corrupting the important information coming from a piezoresisitive accelerometer for automotive applications, and improve the convergence rate of the filtering ...
Eduardo Fernández +3 more
doaj +1 more source

