Results 81 to 90 of about 137,583 (290)
Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters
The Scientific World Journal, 2014 We address the problem of estimating time-varying fading channels in filter bank multicarrier (FBMC/OQAM) wireless systems based on pilot symbols. The standard solution to this problem is the least square (LS) estimator or the minimum mean square error ...
Mahmoud Aldababseh, Ali Jamoos
doaj +1 more source
Underdetermined-order recursive least-squares adaptive filtering: The concept and algorithms
, 1997 Published ...
Baykal, B, Constantinides, AG
core +1 more source
Asian Journal of Control, EarlyView.Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley +1 more source
A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation
, 2016 Stochastic approximation techniques play an important role in solving many problems encountered in machine learning or adaptive signal processing. In these contexts, the statistics of the data are often unknown a priori or their direct computation is too
Emilie, Chouzenoux +1 more
core +3 more sources
Real-time fractional order system identification using recursive least squares method
Algerian Journal of Signals and Systems, 2020 In this paper, we address the problem of fractional order systems real-time identification based on recursive least squares technique. The fractional order model is approximated using the Charef Singularity function method and Grünwald numerical approximation for fractional order integral and derivative. We show by numerical simulation example that the
Walid TOUIL +2 more
openaire +2 more sources
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
Biotechnology and Bioengineering, EarlyView.ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT In a business environment characterized by technological turbulence and an increasing societal demand for greater sustainability, companies seeking to enhance their growth are compelled to foster organizational cultures that promote continuous innovation.
José Bocoya‐Maline +2 more
wiley +1 more source
Adaptive Filtering Approach With Forgetting Factor for Stochastic Signals Applied to EEG
IEEE Access, 2020 This paper presents a new stochastic adaptive estimation-identification technique for nonstationary systems. The proposed method enhances the initial results from an on average estimation, and its identification, through a generalized adaptable function ...
Karen Alicia Aguilar-Cruz +4 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad +5 more
wiley +1 more source
Forecasting with an adaptive control algorithm [PDF]
We construct a parsimonious model of the U.S. macro economy using a state space representation and recursive estimation. At the core of the estimation procedure is a prediction/correction algorithm based on a recursive least squares estimation with ...
Donald S. Allen +2 more
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