[PDF] Top 20 Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares
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Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares
... industrial robot applied consist of rotational joints, the Jacobian matrix runs into singular or at least highly ill- conditioned in extreme cases such as the adjacent two rods aligns, let alone all kinds of 6DOFs ... See full document
9
Maneuvering target tracking using fuzzy logic based recursive least squares filter
... standard recursive least squares filter (RLSF) [17,18] is quite well received in linear models with the unknown random characteristics of observa- ... See full document
9
Recursive Least Squares Dictionary Learning Algorithm for Electrical Impedance Tomography
... reconstruction model. In this paper, Recursive Least Squares Dictionary Learning Algorithm (RLS-DLA) is used to learn the initial dictionary for dictionary learning of sparse EIT ... See full document
12
Decision Directed Recursive Least Squares MIMO Channels Tracking
... decision-directed recursive least squares (DD-RLS) ...weighted least squares cost func- tion it is minimized and eventually the RLS MIMO channel estimation algorithm is ... See full document
10
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
Variable forgetting factor mechanisms for diffusion recursive least squares algorithm in sensor networks
... In this work, we present low-complexity variable forgetting factor (VFF) techniques for diffusion recursive least squares (DRLS) algorithms. Particularly, we propose low-complexity VFF-DRLS ... See full document
23
The generalized frequency domain adaptive filtering algorithm as an approximation of the block recursive least squares algorithm
... Acoustic echo cancellation (AEC) is a well-known application of adaptive filters in communication acoustics. To implement AEC for multichannel reproduction systems, powerful adaptation algorithms like the generalized ... 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
Recursive least squares background prediction of univariate syndromic surveillance data
... prediction using our week- day-corrected, recursive least squares prediction method, using a 1 year training period for the day of the week cor- ...on using the first year of ... See full document
8
Coefficient rounding and truncation effects on recursive least squares algorithms
... This section deals with the derivation of the statistical word length (SWL) required to quantize the Kalman gain vector elements in order to meet certain performance measures.. The metho[r] ... See full document
18
Completely Recursive Least Squares and Its Applications
... We aim at performing accurate parameter and state estimation in complex situations using synchrophasor data. An approach of joint state-and-parameter estimation, which is different from the state augmentation, is ... See full document
152
Floating point error analysis of recursive least squares and least means squares adaptive filters
... This sequence is a zero mean white independent random process which has a variance related to signal statistics, the weight vector covariance, and the floating point errorso The calculat[r] ... See full document
27
A derivation of a general order, multichannel, fast transversal, recursive least squares filter algorithm
... (1.15) Note that the least squares estimate of an arbitrary vector is thus obtained by premulti- plying by a matrix that is a function of only the input data vectors] The operator Pt(n) [r] ... See full document
18
High sample rate Givens rotations for recursive least squares
... a Addition of signed-binary and binary b Subtraction of binary from signed-binary Figure 2.4 Using full-adders to add a signed-binary and a binary number A single redundant input means t[r] ... See full document
245
Signal quantization effects on recursive least squares adaptive filtering algorithms
... desired signal results in an additive error term and does not effect the weight vector. coefficients[r] ... See full document
19
Roundoff error problems and solutions for conventional recursive least squares filters
... agreement in the two normalized weight error trajectories. Thus, the stabilization techniques had little impact on least squares performance for this example... Comparison of normalized [r] ... See full document
142
Identification of MIMO Hammerstein models using Singular Value Decomposition approach
... on recursive least squares (RLS) approximation and allows to determine the memoryless static nonlinearity as well as the linear model parameters from a linear set of ...identification ... See full document
9
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 ...state-space model, the algorithm is ... See full document
7
Performance Analysis of Adaptive Beamforming Algorithms for Orthogonal Frequency Division Multiplexing System
... for Least Mean Square (LMS) algorithm, Recursive Least Squares (RLS) and Constant Modulus Algorithm (CMA) for hundred OFDM symbols and five hundred and twelve subcarriers, four hundred and is ... See full document
5
Kernel methods for short-term spatio-temporal wind prediction
... kernel least mean squares algorithm and kernel recursive least squares algorithm are introduced and used to produce 1 to 6 hour-ahead predictions of wind speed at six locations in the ... See full document
5
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