Finding the sparsest solution to underdetermined systems of linear equations y = Φx is NP-hard in general. We show here that for systems with ‘typical’/‘random’ Φ, a good approximation to the sparsest solution is obtained by applying a fixed number of standard operations from linear algebra. Our proposal, Stagewise Orthogonal Matching Pursuit (StOMP), successively transforms the signal into a n...

Distillers' grains and corn fiber are the coproducts of the corn dry grind and wet milling industries, respectively. Availability of distillers' grains and corn fiber at the ethanol plant and their high levels of lignocellulosic material make these coproducts attractive feedstocks for conversion to ethanol. In this study, dilute sulfuric acid hydrolysis of these coproducts was investigated in a...

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As the core device of power electronic equipment, IGBT (Insulated Gate Bipolar Transistor) is related to reliability system, so its online health monitoring particularly important. Due large amount data and high sampling rate for monitoring, transmission has become a major problem, method effectively reconstructing original signal one current research hotspots. Based on theory compressed sensin...

prediction of mechanical properties of carbon nanotube-based composite is one of the important issues which should be addressed reasonably. a proper modeling approach is a multi-scale technique starting from nano scale and lasting to macro scale passing in-between scales of micro and meso. the main goal of this research is to develop a multi-scale modeling approach to extract mechanical propert...

as recent advancements in biology shows, the molecular machines specially proteins, rna and complex molecules play the main role of the so called cell functionality. it means a very big part of the system biology is concerned with the interactions of such molecular components. drug industries and research institutes are trying hard to better understand the concepts underlying these interactions...

• A stagewise decomposition algorithm for large-scale stochastic program is proposed. The approximates value functions by predetermined parametric forms. fits the gradients of function to those function. Numerical examples show computational efficiency proposed algorithm. called “value gradient learning” (VFGL) multistage convex programs. VFGL finds parameter values that best fit within a given...

Change detection methods using hyperspectral remote sensing can precisely identify differences of the same area at different observing times. However, due to massive spectral bands, current change are vulnerable unrelatedspectral and spatial information in images with stagewise calculation attention maps. Besides, arrange hidden features a random distribution form, which cannot express class-or...