Abstract: Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images (HSIs) generated by the acquisition devices. This issue is usually addressed by ...

In this postgenomic era, the perceived 'failure' of target-based drug discovery (in part owing to the complexities of biological systems and disease pathophysiology) has recently led to the ...

Abstract: In this work, we address the issue of asynchronous deconvolution filter design for 2-D Markov jump systems with random packet losses. First, the considered plant is established by a ...