An effective method is developed for selecting sample snapshots for the training data used to compute the adaptive weights for an adaptive match filter (AMF); specifically a space/time adaptive ...

In this paper, a robust multi-objective particle swarm optimization algorithm, based on hybrid metric (RMOPSO-HM), is proposed to depress the adverse effect of uncertainties on optimization ...

This study presents the development of a methodology for designing neuro-adaptive robust controllers based on a reference model associated with an artificial neural network of radial basis functions ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Discover a robust DWPT-based adaptive block algorithm for denoising musical instrument sounds like shehnai, dafli, and flute. Achieve optimal denoising with modified thresholds and wavelet ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of ...