[PDF] Top 20 Completely Recursive Least Squares and Its Applications
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Completely Recursive Least Squares and Its Applications
... Based on (1.19), generalized QRD and SVD methods are developed, where the subsequent decompositions of H and W % are performed separately to achieve better numerical accuracy [Paige90] [Van76]. References [Anderson91], ... See full document
152
On the Equivalence of the Weighted Least Squares and the Generalised Least Squares Estimators, with Applications to Kernel Smoothing
... generalised least squares estima- tor of the regression parameters is equivalent to the weighted least squares ...interesting applications in local polynomial regression and kernel ... See full document
23
Applications of the Discrete Least Squares 3-Convex Fit To Sigmoid Data
... We have proposed a quadratic programming calculation that gives the best least squares fit to data values contami- nated by random errors subject to nonnegative third divided differences. The method is ... See full document
6
New Possibilities and Applications of the Least Squares Collocation Method
... An example of discretely defined domain boundary can be seen in figure 2. We used it to verify convergence of numerical solution of the Dirichlet problem for the Poisson equation. Functions with- out singularities were ... See full document
8
A general order multichannel, fast least squares algorithm with telecommunications applications
... It was derived using the recursive form of (2.6) and the matrix inversion lemma [52), which generates an explicit inverse formula for matrices of a certain type. The algorithm sequence i[r] ... See full document
182
Recursive least squares background prediction of univariate syndromic surveillance data
... The current paper introduces a prediction approach for city-level biosurveillance data streams such as time series of outpatient clinic visits and over-the-counter remedy sales. This approach uses ... See full document
8
Combined state and parameter estimation for Hammerstein systems with time-delay using the Kalman filtering
... practical applications, disturbances widely exist [11, ...two recursive extended least squares parameter estimation algorithms based on the over-parameterization models [18]; Li derived a ... See full document
17
Maneuvering target tracking using fuzzy logic based recursive least squares filter
... states [2]. Recently, particle filters are broadly adopted in various applications, such as location estimation [6-8]. However, their tracking performances are combined in proportion to the number of the ... See full document
9
Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
... in applications of distributed parameter estimation and distributed spectrum estimation and have verified the effectiveness of our proposed analytical expressions for the steady-state MSD and ... See full document
23
ORDINARY LEAST SQUARES METHOD AND ITS VARIANTS
... & Applications; Non- Profit Organizations; Office Administration/Management; Operations Research/Statistics; Organizational Behavior & Theory; Organizational Development; Production/Operations; Public ... See full document
14
Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares
... Zengqi Sun graduated from Tsinghua University, China, in 1966 and received the Ph.D degree at Chalmers University of Technology, Sweden, in 1981. He is currently a professor of the Department of Computer Science and ... See full document
9
Decision Directed Recursive Least Squares MIMO Channels Tracking
... filtering applications which is independent on the channel model ...to its optimum ...error squares; and then this cost function is optimized versus the channel ma- ... See full document
10
ON RECURSIVE PARAMETRIC IDENTIFICATION OF WIENER SYSTEMS
... a recursive approach for parametric identification of Wiener systems with non-invertible piecewise linear function in the nonlinear ...ordinary recursive least squares (RLS) is proposed here ... See full document
8
The generalized frequency domain adaptive filtering algorithm as an approximation of the block recursive least squares algorithm
... The paper is organized as follows: In Section 2, we formulate the system identification problem and its rela- tion to AEC. As the basis for the following main parts of the paper, the RLS algorithm is briefly ... See full document
15
Derivation of the fast pole-zero (ARMA) recursive least squares algorithm using geometric projections
... In this paper, the geometric approach used in [ 7 , 8 ] and [2] is extended to the derivation of a fast pole-zero (ARMA) Recursive Least Squares algorithmo The work is also an extension [r] ... See full document
28
RLS Wiener Predictor with Uncertain Observations in Linear Discrete Time Stochastic Systems
... a recursive least-squares algorithm for the predictor and filter design in systems with non-independent uncer- tain observations, using covariance ... See full document
7
Performance Analysis of Adaptive Beamforming Algorithms for Orthogonal Frequency Division Multiplexing System
... A bit stream generated by the source is modulated using shifted Quadrature Phase Shift Keying (QPSK). Then these bits are converted from serial-to-parallel and virtual carriers are added before subcarrier modulation, ... See full document
5
EC E -5 2 0 C o n t r o l S y s t e m
... the recursive least squares algorithm in a somewhat general context, and then implement it in Matlab and try a few simple ...the recursive least squares algorithm may seem to be ... See full document
5
Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors
... conventional least-squares algorithm with variable forgetting factor, and the standard M robust algorithm with scale factor ...standard least-squares algorithm with variable forgetting factor ... See full document
22
Identification of MIMO Hammerstein models using Singular Value Decomposition approach
... the Recursive Least Squares (RLS) with an exponential forgetting factor and uses the singular value decomposition method to separate the system estimated ... See full document
9
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