Recent years have seen growing interest in the problem of super-resolution restoration of
video sequences. Whereas in the traditional single image restoration problem only a single …

An algorithm for recursively computing the total least squares (TLS) solution to the adaptive
filtering problem is described. This algorithm requires O (N) multiplications per iteration to …

Phasor measurement units (PMUs) are time synchronized sensors primarily used for power
system state estimation. Despite their increasing incorporation and the ongoing research on …

In this study, we consider the parameter estimation problem for an errors-in-variables (EIV)
model with impulse noise. New adaptive filtering, called the maximum total generalized …

It is shown how the total least squares recursive algorithm for the real data FIR (finite
impulse response) adaptive filtering problem can be applied to reconstruct a high-resolution …

The direction-of-arrival (DOA) estimation model of this brief is based on deviation
compensation model with input noise, and the performance of the traditional Least mean …

Multiframe superresolution restoration refers to methods for still image and video restoration
from multiple low-resolution, degraded observed images derived from an underlying scene …

In this paper, a new Hebbian-type learning algorithm for the total least-squares parameter
estimation is presented. The algorithm is derived from the classical Hebbian rule. An …

It is shown how the efficient recursive total least squares algorithm recently developed by CE
Davila [3] for real data can be applied to image reconstruction from noisy, undersampled …

In this paper, a Naive Bayes classifier was simplified and implemented as a multi-class
classifier for binary feature vectors. It was designed on FPGA using very limited hardware …