Results 11 to 20 of about 254 (102)
Variable Forgetting Factor LS Algorithm for Polynomial Channel Model [PDF]
International Scholarly Research Notices, Volume 2011, Issue 1, 2011., 2011 Variable forgetting factor (VFF) least squares (LS) algorithm for polynomial channel paradigm is presented for improved tracking performance under nonstationary environment. The main focus is on updating VFF when each time‐varying fading channel is considered to be a first‐order Markov process.
Amit Kumar Kohli +6 more
core +2 more sources
Absolute finite differences based variable forgetting factor RLS algorithm
IET Signal Processing, Volume 16, Issue 1, Page 80-91, February 2022., 2022 Abstract Adaptive signal processing requires an efficient non‐stationarity detector. Most of the known non‐stationarity detection algorithms are based on residual statistics. The study proposes a novel non‐stationarity detection algorithm based on finite differences analysis of the processed signal.
Slobodan Drašković +2 more
wiley +1 more source
Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022 This paper investigates a parameter identification problem in the grinding process. Due to the data saturated phenomenon and the ill‐posed of parameter identification inverse problem, this paper presents a regularized least squares recursive algorithm with a forgetting factor (RLSRAFF), the basic idea of which is to combine the forgetting factor with ...
Yang Yu +6 more
wiley +1 more source
Barriers and facilitators of productivity while working from home during pandemic
Journal of Occupational Health, Volume 63, Issue 1, January/December 2021., 2021 ABSTRACT Objectives This study aims to characterize the working environment, stress levels, and psychological detachment of employees working from home during the COVID‐19 pandemic in the Philippines and investigate their relationship to productivity and musculoskeletal symptoms.
Rosemary R. Seva +2 more
wiley +1 more source
A new recursive algorithm for time-varying autoregressive (TVAR) model estimation and its application to speech analysis [PDF]
, 2012 This paper proposes a new state-regularized (SR) and QR decomposition based recursive least squares (QRRLS) algorithm with variable forgetting factor (VFF) for recursive coefficient estimation of time-varying autoregressive (AR) models.
Chan, SC, Chu, Y, Tsui, KM, Zhang, Z
core +1 more source
IEEE Access, 2018 A new cost function that introduces the minimum-disturbance (MD) constraint into the conventional recursive least squares (RLS) with a sparsity-promoting penalty is first defined in this paper.
Zhou Fan Li, Dan Li, Jian Qiu Zhang
doaj +1 more source
A New State-Regularized QRRLS Algorithm with Variable Forgetting Factor [PDF]
, 2012 published_or_final_versio
Chan, SC, Chu, YJ
core +1 more source
Late Amazonian Ice Survival in Kasei Valles, Mars
Journal of Geophysical Research: Planets, Volume 125, Issue 11, November 2020., 2020 Abstract High‐obliquity excursions on Mars are hypothesized to have redistributed water from the poles to nourish mid‐latitude glaciers. Evidence of this process is provided by different types of viscous flow features (ice‐rich deposits buried beneath sediment mantle) located there today, including lobate debris aprons (LDAs).
A. J. Hepburn +3 more
wiley +1 more source
Low Computational Complexity and High Computational Speed in Leading DCD ERLS Algorithm [PDF]
Journal of Electrical and Computer Engineering Innovations, 2018 Background and Objectives: Adaptive algorithm adjusts the system coefficients based on the measured data. This paper presents a dichotomous coordinate descent method to reduce the computational complexity and to improve the tracking ability based on the ...
F. Abdi, P. Amiri, M.H. Refan
doaj +1 more source
Recursive Parametric Frequency/Spectrum Estimation for Nonstationary Signals With Impulsive Components Using Variable Forgetting Factor [PDF]
, 2013 published_or_final_versio
Chan, SC, Zhang, ZG
core +1 more source