[PDF] Top 20 High sample rate Givens rotations for recursive least squares
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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
Model-Free Uncalibrated Visual Servoing Using Recursive Least Squares
... Abstract— In this paper, a model free uncalibrated visual servoing algorithm based on recursive least squares is proposed and discussed in depth. No robot kinetics or dynamics, camera calibration or ... See full document
9
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
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
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
Maneuvering target tracking using fuzzy logic based recursive least squares filter
... logic-based recursive least squares filter (FLRLSF) is presented for maneuvering target tracking (MTT) in situations of observations with unknown random ...standard recursive least ... See full document
9
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
Recursive Least Squares Dictionary Learning Algorithm for Electrical Impedance Tomography
... convergence rate depend on the initial dictionary, which was not given full consideration in previous ...paper, Recursive Least Squares Dictionary Learning Algorithm (RLS-DLA) is used to learn ... See full document
12
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
Completely Recursive Least Squares and Its Applications
... For high-dimension low-redundancy nonlinear parameter estimation, we propose a balanced method which adopts merits from both EKF and ...and high-order terms (of Taylor’s expansion) in EKF as the pseudo ... See full document
152
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
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
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
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
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
Combined state and parameter estimation for Hammerstein systems with time-delay using the Kalman filtering
... based least squares iterative (LSI) algorithm and recursive least squares (RLS) algorithm are derived for the combined estimation of the state and ...based recursive extended ... See full document
17
Performance Analysis of Adaptive Beamforming Algorithms for Orthogonal Frequency Division Multiplexing System
... for high data rate communication ...Error Rate (BER) to a great extent. The performance analysis for Least Mean Square (LMS) algorithm, Recursive Least Squares (RLS) and ... 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
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
International Journal of Emerging Technology and Advanced Engineering
... as least squares (LMS) algorithm and recursive least squares algorithm (RLS) is planned for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) ... See full document
5
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