Results 1 to 10 of about 8,294 (115)
Recursive least squares background prediction of univariate syndromic surveillance data [PDF]
BMC Medical Informatics and Decision Making, 2009 Background Surveillance of univariate syndromic data as a means of potential indicator of developing public health conditions has been used extensively.
Burkom Howard, Najmi Amir-Homayoon
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Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications [PDF]
SensorsThe recursive least-squares (RLS) algorithm stands out as an appealing choice in adaptive filtering applications related to system identification problems.
Radu-Andrei Otopeleanu +5 more
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IEEE Access, 2021 Two M-decomposed based identification algorithms are proposed for large-scale systems in this study. Since the least squares algorithms involve matrix inversion calculation, they can be inefficient for large-scale systems whose information matrices are ...
Yuejiang Ji, Lixin Lv
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Recursive Least Squares for Near-Lossless Hyperspectral Data Compression
Applied Sciences, 2022 The hyperspectral image compression scheme is a trade-off between the limited hardware resources of the on-board platform and the ever-growing resolution of the optical instruments.
Tie Zheng +3 more
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Recursive N-way partial least squares for brain-computer interface. [PDF]
PLoS ONE, 2013 In the article tensor-input/tensor-output blockwise Recursive N-way Partial Least Squares (RNPLS) regression is considered. It combines the multi-way tensors decomposition with a consecutive calculation scheme and allows blockwise treatment of tensor ...
Andrey Eliseyev, Tetiana Aksenova
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UPDATING STRATEGIES FOR DISTANCE BASED CLASSIFICATION MODEL WITH RECURSIVE LEAST SQUARES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The idea is to create a self-learning Minimal Learning Machine (MLM) model that is computationally efficient, easy to implement and performs with high accuracy. The study has two hypotheses.
A.-M. Raita-Hakola, I. Pölönen
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Adaptive State Feedback Control Method Based on Recursive Least Squares
Elektronika ir Elektrotechnika, 2022 This study revealed an adaptive state feedback control method based on recursive least squares (RLS) that is introduced for a time-varying system to work with high efficiency. Firstly, a system identification block was created that gives the mathematical
Mehmet Latif Levent, Omer Aydogdu
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Chinese Journal of Mechanical Engineering, 2023 Online parameter identification is essential for the accuracy of the battery equivalent circuit model (ECM). The traditional recursive least squares (RLS) method is easily biased with the noise disturbances from sensors, which degrades the modeling ...
Xinghao Du +6 more
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A Recursive Least-Squares with a Time-Varying Regularization Parameter
Applied Sciences, 2022 Recursive least-squares (RLS) algorithms are widely used in many applications, such as real-time signal processing, control and communications. In some applications, regularization of the least-squares provides robustness and enhances performance ...
Maaz Mahadi +3 more
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Adaptive Recursive Least Squares Denoising in Ventricular Fibrillation ECG Signals
Advanced Sensor Research, 2023 Cardiac arrest is a fatal and urgent disease in humans. A high‐quality electrocardiogram (ECG) has a positive guide to the success of defibrillation and resuscitation.
Youde Ding +6 more
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