This article present a new method of accuracy verification of calibrated one-port vector network analyzers based on the least mean square algorithm. The method is of particular interest for significantly limited frequency ranges as well as for cost-effective S-parameter measurement systems where the use of conventional ripple test may be impractical and/or relatively expensive. Experimental stu...

In this work, we propose to use the linear regression partial least square method to predict the output variables of the RA1G boiler. This method consists in finding the regression of an output block regarding an input block. These two blocks represent the outputs and inputs of the process. A criteria of cross validation, based on the calculation of the predicted residual sum of squares, is use...

For the solutions of linear systems of equations with unsymmetric coeecient matrices, we propose an improved version of the quasi-minimal residual (IQMR) method by using the Lanczos process as a major component combining elements of numerical stability and parallel algorithm design. For Lanczos process, stability is obtained by a coupled two-term procedure that generates Lanczos vectors normali...