A new compact form of the sliding window recursive least squares (SWRLS) algorithm, the I-SWRLS algorithm, is derived using an indefinite matrix. The resultant algorithm has a form similar to that of the traditional recursive least squares (RLS) algorithm, and is more computationally efficient than the conventional SWRLS algorithm including two Riccati equations. Furthermore, a computationally ...

(a) The pulse sequence used was pulsed magnetic-field gradient-90° pulse-pulsed magnetic-field gradient4elay-9O0 pulse-acquisition. Two values of the interval between saturation and observation pulses were used: A, 200ms; A, 75 ms. Typical error bars are indicated. (b) The pulse sequence used was 90,0-(z,180,0-r2),, zI = z2 = lms, n = 5 12. At the end of each r, the outputs of the two phase-sen...

In this paper, we first get further consideration of the order perturbation with normwise condition number MTLS problem. For easy estimation, show a lower bound for which is proved to be optimal. overcome problems encountered in calculating number, give an upper computing more effectively and nonstandard unusual bounds Both two types can enjoy storage computational advantages. getting insight i...

In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS algorithms for distributed parameter and spectrum estimation in sensor networks. For the proposed algorithms, they can adjust the forgetting factor automatically according to the posteriori error signal. We ...

In the course of making high-accuracy measurements of arsenic, we found that the most recently published and compiled half-life of 76As did not agree with our data as well as the earlier accepted value. To redetermine this parameter, 76As sources were measured on four Ge gamma detector systems, and an exponential function was fitted to the decay data by two different nonlinear least-squares met...

This paper considers estimation of the regression vector of the multiple regression model with elliptically symmetric contoured errors. The generalized least square (GLS), restricted GLS and preliminary test (PT) estimators for regression parameter vector are obtained. The performances of the estimators are studied under multiparameter linear exponential loss function (MLINEX), and the dominanc...