This paper reviews the development of a root mean squared error (RMS) flaw sizing criterion. The effect of using an RMS error criterion for the sizing performance of the PISC II [1-3] inspection teams is investigated. A crucial part of establishing an RMS error sizing criterion is the decomposition of the components in the RMS error into the sum of the squares of the mean error, the standard er...

In this paper, we consider a general cooperative wireless sensor network (WSN) with multiple hops and the problem of channel estimation. Two matrix-based set-membership algorithms are developed for the estimation of the complex matrix channel parameters. The main goal is to reduce the computational complexity significantly as compared with existing channel estimators and extend the lifetime of ...

This paper presents an echo suppression system that combines a linear acoustic canceller (AEC) with deep complex convolutional recurrent network (DCCRN) for residual suppression. The filter taps of the AEC are adjusted in subbands by using normalized sign-error least mean squares (NSLMS) algorithm. NSLMS is compared commonly-used (NLMS), and combination each proposed model studied. utilization ...

The estimation of the population total ty, by using one or more auxiliary variables, and the population ratio θxy = ty/tx, tx is the population total for the variable X, for a finite population are heavily discussed in the literature. In this paper, the idea of estimating the finite population ratio θxy is extended to use the availability of auxiliary variable Z in the study. The availability o...

Using simulation, I evaluated five regression procedures that are used for analyzing methods comparison data: ordinary least-squares regression analysis, weighted least-squares regression analysis, the Deming method, a weighted modification of the Deming method, and a rank procedure. I recorded the following performance measures: plus or minus bias of the slope estimate, the root mean squared e...