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Results for RLS algorithm

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11 papers · ranked by Valyu relevance

01
PPubMed19 May 2017
Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms
Radek Martinek, Radana Kahankova, Homer Nazeran, Jaromir Konecny + 7 more
This paper is focused on the design, implementation and verification of a novel method for the optimization of the control parameters (such as step size $μ$ and filter order N) of LMS and RLS adaptive filters used for noninvasive fetal monitoring. The optimization algorithm is driven by considering the ECG electrode…
81relevance
02
PPubMed21 Jul 2022
Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models
Méabh Loughman, Sinéad Barton, Ronan Farrell, John Dooley
The necessity of the rapid evolution of wireless communications, with continuously increasing demands for higher data rates and capacity Zheng (Big datadriven optimization for mobile networks toward 5g 30:44-51, 2016), is constantly augmenting the complexity of radio frequency (RF) transceiver architecture. A…
81relevance
03
PPubMed13 Aug 2025
Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications †
Radu-Andrei Otopeleanu, Constantin Paleologu, Jacob Benesty, Laura-Maria Dogariu + 3 more
'Laura-Maria Dogariu' 'Cristian-Lucian Stanciu' 'Silviu Ciochină' 'Ka-Fai Cedric Yiu'] The recursive least-squares (RLS) algorithm stands out as an appealing choice in adaptive filtering applications related to system identification problems. This algorithm is able to provide a fast convergence rate for various types…
81relevance
04
PPubMed9 Mar 2022
Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System
Zixi Guan, Raja Varma Pamba, Bhuvaneswari Balachander, Deepak Kumar Khare + 2 more
'Deepak Kumar Khare' 'Nabamita Deb' 'Rajasekhar Boddu'] This paper introduces the application and classification of an adaptive filtering algorithm in the image enhancement algorithm. And the filtering noise reduction impact is compared using MATLAB software for programming, image processing, LMS algorithm, RLS…
81relevance
05
BbioRxiv27 Sep 2022
A scalable implementation of the recursive least-squares algorithm for training spiking neural networks
Benjamin J. Arthur, Christopher M. Kim, Susu Chen, Stephan Preibisch + 1 more
Training spiking recurrent neural networks on neuronal recordings or behavioral tasks has become a prominent tool to study computations in the brain. With an increasing size and complexity of neural recordings, there is a need for fast algorithms that can scale to large datasets. We present optimized CPU and GPU…
81relevance
06
PPubMed2 May 2012
Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations
Tapio Pahikkala, Sebastian Okser, Antti Airola, Tapio Salakoski + 1 more
'Tero Aittokallio'] Background Through the wealth of information contained within them, genome-wide association studies (GWAS) have the potential to provide researchers with a systematic means of associating genetic variants with a wide variety of disease phenotypes. Due to the limitations of approaches that have…
79relevance
07
BbioRxiv27 Apr 2020
Improved estimation of hemodynamic response in fNIRS using protocol constraint and wavelet transform decomposition based adaptive algorithm
Sahar Jahani, Seyed Kamaledin Setarehdan
Near infrared spectroscopy allows monitoring of oxy and deoxyhemoglobin concentration changes associated with hemodynamic response function (HRF). HRF is mainly affected by physiological interferences which occur in the superficial layers of the head. This makes HRF extracting a very challenging task. Recent studies…
76relevance
08
BbioRxiv15 Mar 2019
Simple Framework for Constructing Functional Spiking Recurrent Neural Networks
Robert Kim, Yinghao Li, Terrence J. Sejnowski
Cortical microcircuits exhibit complex recurrent architectures that possess dynamically rich properties. The neurons that make up these microcircuits communicate mainly via discrete spikes, and it is not clear how spikes give rise to dynamics that can be used to perform computationally challenging tasks. In contrast…
66relevance
09
PPubMed15 Dec 2023
MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems
Jeyaganesh Kumar Kailasam, Rajkumar Nalliah, Saravanakumar Nallagoundanpalayam Muthusamy, Premkumar Manoharan + 1 more
'Saravanakumar Nallagoundanpalayam Muthusamy' 'Premkumar Manoharan' 'Heming Jia'] In the realm of computational problem-solving, the search for efficient algorithms tailored for real-world engineering challenges and software requirement prioritization is relentless. This paper introduces the Multi-Learning-Based…
63relevance
10
BbioRxiv10 May 2022
Deep Reinforcement Learning for Optimal Experimental Design in Biology
Neythen J. Treloar, Nathan Braniff, Brian Ingalls, Chris P. Barnes
The field of optimal experimental design uses mathematical techniques to determine experiments that are maximally informative from a given experimental setup. Here we apply a technique from artificial intelligence—reinforcement learning—to the optimal experimental design task of maximizing confidence in estimates of…
62relevance
11
BbioRxiv19 Jul 2019
PECLIDES Neuro A Personalisable Clinical Decision Support System for Neurological Diseases
Tamara Müller, Pietro Lio’
Neurodegenerative diseases such as Alzheimer’s and Parkinson’s impact millions of people worldwide. Early diagnosis has proven to greatly increase the chances of slowing down the diseases’ progression. Correct diagnosis often relies on the analysis of large amounts of patient data, and thus lends itself well to support…
53relevance

Results for RLS algorithm

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models

Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications †

Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations

Improved estimation of hemodynamic response in fNIRS using protocol constraint and wavelet transform decomposition based adaptive algorithm

Simple Framework for Constructing Functional Spiking Recurrent Neural Networks

MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems

Deep Reinforcement Learning for Optimal Experimental Design in Biology

PECLIDES Neuro A Personalisable Clinical Decision Support System for Neurological Diseases

Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms

Early Stopping Criterion for Recursive Least Squares Training of Behavioural Models

Robust Data-Reuse Regularized Recursive Least-Squares Algorithms for System Identification Applications †

Retrospection of Nonlinear Adaptive Algorithm-Based Intelligent Plane Image Interaction System

A scalable implementation of the recursive least-squares algorithm for training spiking neural networks

Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations

Improved estimation of hemodynamic response in fNIRS using protocol constraint and wavelet transform decomposition based adaptive algorithm

Simple Framework for Constructing Functional Spiking Recurrent Neural Networks

MLBRSA: Multi-Learning-Based Reptile Search Algorithm for Global Optimization and Software Requirement Prioritization Problems

Deep Reinforcement Learning for Optimal Experimental Design in Biology

PECLIDES Neuro A Personalisable Clinical Decision Support System for Neurological Diseases