Adaptive Least Mean Squares Estimation of Graph Signals

Improving adaptive resolution of analog to digital converters using least squares mean method

This paper presents an adaptive digital resolution improvement method for extrapolating and recursive analog-to-digital converters (ADCs). The presented adaptively enhanced ADC (AE-ADC) digitally estimates the digital equivalent of the input signal by utilizing an adaptive digital filter (ADF). The least mean squares (LMS) algorithm also determines the coefficients of the ADF block. In this sch...

Spoofing Mitigation of GPS Receiver using Least Mean Squares-Based Adaptive Filter

The Global Positioning System (GPS) signals are very weak signal over wireless channels, so they are vulnerable to in-band interferences. Therefore, even a low-power interference can easily spoof GPS receivers. Among the variety of GPS signal interference, spoofing is considered as the most dangerous intentional interference. The spoofing effects can mitigate with an appropriate strategy in the...

Least squares phase estimation of mixed signals

Estimating the phase of sinusoids in noise in contrast to amplitude and frequency components has been less addressed in previous studies. In this paper, we derive the least squares phase estimator (LSPE) solution to recover the phase of an underlying signal observed in noise. Through Monte-Carlo simulations, we demonstrate the robustness of the proposed phase estimator against the modeling erro...

An Estimation Of Seasonal GDP Gap In Iran: Application Of Adaptive Least Squares Methods

Distributed Incremental Least Mean-Square for Parameter Estimation using Heterogeneous Adaptive Networks in Unreliable Measurements

Adaptive networks include a set of nodes with adaptation and learning abilities for modeling various types of self-organized and complex activities encountered in the real world. This paper presents the effect of heterogeneously distributed incremental LMS algorithm with ideal links on the quality of unknown parameter estimation. In heterogeneous adaptive networks, a fraction of the nodes, defi...