Determining whether a quantum state is separable or inseparable (entangled) is a problem of fundamental importance in quantum science and has attracted much attention since its first recognition by ...
Abstract: We consider the problem of dictionary learning over training sets whose sample size and parameter dimension are large-scale, which is formulated as a non-convex stochastic program where the ...
ABSTRACT: The behavior of beams with variable stiffness subjected to the action of variable loadings (impulse or harmonic) is analyzed in this paper using the successive approximation method. This ...
Abstract: A linear reinforcement learning technique is proposed to provide a memory and thus accelerate the convergence of successive approximation algorithms. The learning scheme is used to update ...
ABSTRACT: The behavior of beams with variable stiffness subjected to the action of variable loadings (impulse or harmonic) is analyzed in this paper using the successive approximation method. This ...
The noise‐shaping successive approximation register (NS‐SAR) analogue‐to‐digital converter represents an attractive hybrid architecture that merges the inherent energy efficiency and simplicity of ...
Introduction: We previously reported the usefulness of a new analysis method to accurately calculate specific binding ratio (SBR) by segmenting the caudate nucleus, putamen, and background (BG) in ...
Energy-efficient successive approximation register (SAR) analog-to-digital converters (ADCs) represent a rapidly evolving field in microelectronics, where substantial progress has been made in ...
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