Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 83 for “"RLS"”.
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Cascade RLS with Subsection Adaptation
… speech for speech coding purposes. We propose an RLS-based cascade adaptive filter structure that can significantly reduce the computational effort required by the RLS algorithm for inverse filtering types of applications. We named it the Cascade RLS with Subsection Adaptation (CRLS-SA) algorithm. …
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Online Parameter Adaptation of LQR Controllers via RLS for Prosthetic Joint Control: Experimental Validation on a Quanser Qube-Servo 2 Platform
… joint systems using Recursive Least Squares (RLS)-based real-time parameter estimation on the Quanser QUBE-Servo 2 platform. Traditional LQR controllers assume a fxed system model, which limits adaptability and results in reduced tracking accuracy, poor robustness, and loss of optimal …
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Investigating the link between depression and restless legs syndrome: a controlled comparison of mood and motor restlessness in restless legs syndrome, with primary insomnia and good sleeper controls
… legs when at rest and only relieved by movement. RLS is associated with deterioration in quality of life and depression is a common comorbid problem. Methods: The present study aimed to establish whether RLS is a risk factor for depressive symptoms by comparing 3 groups - RLS patients (RLS), a …
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DCD Algorithm: Architectures, FPGA Implementations and Applications
… the DCD algorithm in recursive least squares (RLS) adaptive filter, a new efficient technique, named as the RLS-DCD algorithm, is derived. The RLS-DCD algorithm expresses the RLS adaptive filtering problem in terms of auxiliary normal equations with respect to increments of the filter weights. …
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A regularization framework for active learning from imbalanced data
… algorithm known as Regularized Least Squares (RLS) as its basic classifier. We extend RLS to account for data imbalances, perform efficient active learning, and output confidence scores. Each of these extensions is a new result that combines with our other findings to give an altogether novel …
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A deep learning approach to estimate replicative lifespans from yeast cell images
… budding yeast cells is the replicative lifespan (RLS), how many times a mother cell divides in its lifetime. Traditionally, determining the RLS of yeast cells is a tedious manual process. To address this challenge, our long-term goal is to develop an automated RLS estimation process. Recently …
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Completely Recursive Least Squares and Its Applications
… based recursive least squares (RLS) approach is of a recursive form and free of matrix inversion, and has excellent performance regarding computation and memory in solving the classic least-squares (LS) problem. It is important to generalize RLS for generalized LS (GLS) problem. …
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Adaptive detection in ultrawide bandwidth wireless communication systems
… squares (NLMS) and recursive least square (RLS) algorithms. In our study decision directed (DD) approaches are also introduced to the adaptive detectors to improve the BER performance and spectral-efficiency of the hybrid DS-TH UWB systems. Our studies show that the complexity of the …
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First Order Dynamic Sliding Mode Control of a Wind Turbine with Optimized Tip Speed Ratio
… maximum power using the Recursive Least Squares (RLS) method. The RLS generates a polynomial connecting the TSR and power coefficient, defining the wind turbine's operating point. A forgetting factor is incorporated in the RLS method for system adaptability to changing conditions. The other …
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High-Resolution Mapping of the Region around the Soybean Virus Resistance Genes, Rsv1 and Rpv1
… and Sat120, and these 91 recombinant lines (RLs) were selected for further genetic analysis. Genotypes of Rsv1 and Rpv1 for the 91 RLs were obtained by inoculating their F2:3 progeny with SMV-G1 and PMV-P1, respectively. The 91 RLs also were used for mapping one random amplified polymorphic …
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Adaptive interference suppression algorithms for DS-UWB systems
… squares (LMS) and recursive least-squares (RLS) algorithms. We also develop algorithms for selecting the branch number and the model order of the SAABF scheme. Secondly, a novel linear reduced-rank blind adaptive receiver based on JIO and the constrained constant modulus (CCM) design …
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Underwater acoustic communication over Doppler spread channels
… (DFE) adapted with recursive least squares (RLS) is analyzed, and its limit with respect to pure Doppler spread is found. By using the DFE with a phase locked loop (PLL) suboptimal system behavior is found, and this is verified on real data. In the case of a simple Doppler shift the …
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Einfluss der Anästhesie auf das postoperative Auftreten des Restless Legs Syndroms
… in Spinalanästhesie anhand der Kriterien der IRLS ermittelt wurde. Als Kontrollgruppen dienten Patienten mit Eingriffen in Allgemeinanästhesie bzw. peripherer Regionalanästhesie. Präoperativ, sowie eine und vier Wochen postoperativ wurden im persönlichen Interview anhand eines standardisierten …
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Υπνική συμπεριφορά σε γενικό πληθυσμό 60-80 ετών
… ερωτήσεων για το Σύνδρομο Ανήσυχων Άκρων (RLS). Επιπλέον, συλλέχθηκαν δημογραφικά στοιχεία, ιατρικό ιστορικό, χαρακτηριστικά του ονειρικού περιεχομένου και εβδομαδιαίο ημερολόγιο ύπνου. Υλικό και Μέθοδος: Η μελέτη βασίστηκε σε δομημένο ερωτηματολόγιο, το οποίο σχεδιάστηκε σύμφωνα με τα …
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Parametric design of an adaptive line enhancer for multiple switching tones in a correlated noise environment
… algorithm, a Fast Recursive Least Squares (Fast RLS) adaptive algorithm, and the Fast Gradient adaptive algorithm. The DFT algorithm is incapable of removing correlations from the incoming noise, and the LMS and Fast RLS algorithms become unstable when a dynamic switching environment is being …
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Randomly Spaced Smart Antennas
… LMS, leaky LMS, generalized normalized LMS, RLS and variable forget- ting factor RLS algorithms for the adaptive beamforming. The advantages and disadvantages of smart antennas based on random array con- figuration are presented and discussed. Several algorithms have been investigated to …
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Implementation and evaluation of echo cancellation algorithms
… Normalized LMS (NLMS), Recursive Least Squares (RLS), and Subband NLMS (SNLMS) algorithms, and evaluate their performance as acoustic and network echo cancelers. The algorithms are compared based on their convergence rate, steady state echo return loss (ERL), and complexity of implementation. …
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Kia mate rā anō a Tama-nui-te-rā: reversing language shift in Kōhanga reo
This thesis focuses on reversing language shift (RLS) efforts via the revernacularisation of te reo Māori (the Māori language) in Te Amokura Kōhanga Reo (Māori language nest). J. Fishman’s (2001a) graded intergenerational disruption scale (GIDS), and M. Durie’s (2001, 2003) discussions on Māori …
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Generalised predictive control : a study and application
… algorithm replaces the recursive least squares (RLS) used in the original GPC and is essentially a duplicate of the control law. The effect of using LRPI as opposed to RLS is investigated theoretically by use of the simulator. In the simulations carried out comparison of the GPC and LRPC …
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Partial Update Adaptive Filtering
… algorithms, such as Recursive Least Squares (RLS), Conjugate Gradient (CG), and Euclidean Direction Search (EDS), can converge faster and have lower steady-state mean square error (MSE) than LMS. However, their high computational complexity ($O(N^2)$) makes them unsuitable for many real-time …
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