have a white spectrum. In this paper I show how the residual can be whitened when coherent noise is present in the data. Outliers and noiseburst problems are not addressed here. They can be winnowed out by applying, iteratively, a locally re-weighted regression (Wang, White & Pratt 2000). In the first section I review some basics of inverse theory. Then in the following section I introduce two ...

Local learning based soft sensing methods are effective in dealing with process nonlinearities as well as time varying characteristics. In this paper, an anti-over-fitting method is proposed for appropriate online local model adaptation. The proposed method is based on the weighted sum of the predicted errors for the newest few samples, the weights of which are determined adaptively. Moreover, ...

OBJECTIVE The effectiveness of radiotherapy in nasopharyngeal carcinoma (NPC) is closely related to the radiosensitivity of the carcinoma; however, there is currently no effective method to predict radiosensitivity in NPC. We explored the predictive value of magnetic resonance diffusion-weighted imaging (MR-DWI) for radiosensitivity in NPC. Study Design Prospective cohort study. Setting Single ...

We consider the solution of complex symmetric shifted linear systems. Such systems arise in large-scale electronic structure simulations and there is a strong need for the fast solution of the systems. With the aim of solving the systems efficiently, we consider a special case of the QMR method for non-Hermitian shifted linear systems and propose its weighted quasi-minimal residual approach. A ...

We study the convergence of GMRES/FOM and QMR/BiCG methods for solving nonsymmetric Ax = b. We prove that given the results of a BiCG computation on Ax = b, we can obtain a matrix B with the same eigenvalues as A and a vector c such that the residual norms generated by a FOM computation on Bx = c are identical to those generated by the BiCG computations. Using a unitary equivalence for each of ...

Stabilized weighted linear prediction (SWLP) is a recently developed method to compute stable all-pole models of speech by applying temporal weighting of the residual energy. In this study, SWLP is used for spectrum estimation in the first stage of the MFCC computation. The resulting acoustic feature representation is tested in a speech recognition front-end in simulated noisy conditions. When ...

stress and residual stress are the main problems in the operating performance of materials. they are the principal causes of material failure and can affect life time of component. however measurement or predictions of them are typically difficult. two common non-destructive methods, x-ray diffraction and ultrasound are not reliable methods for subsurface residual stress measurements and destru...

This paper examines the implementation of simple combination mutation differential evolution algorithm for solving stiff ordinary equations. We use weighted residual method with a series expansion to approximate solutions solve problems from an equation linear and nonlinear problems. Then, we also implement our systems find that can exact solution smallest error each length have chosen. Thus, t...