Abstract: A novel synchrosqueezing transform to the time-frequency representation based on short-time fractional Fourier transform for strong time-varying signals is proposed in this paper. To finely ...
ABSTRACT: This paper offers a novel portrayal of the generalized Campanato space with variable exponents. By introducing the position-dependent weight function ω( x,r ) , the generalized variable ...
ABSTRACT: This paper offers a novel portrayal of the generalized Campanato space with variable exponents. By introducing the position-dependent weight function ω( x,r ) , the generalized variable ...
Abstract: This article focuses on the adaptive synchronization for a class of fractional-order coupled neural networks (FCNNs) with output coupling. The model is new for output coupling item in the ...