least-squares estimation error
Asymptotic properties of least squares estimation for a new fuzzy autoregressive model
... normal and uniform distributions, N(, ), U[, ], respectively. For the ordinary autore- gressive model, we only forecast modal values based on the above fuzzy data. We compare the square sum of the forecast ...
10
Performance of LTE Channel Estimation Algorithms for Different Interpolation Methods and Modulation Schemes
... channel estimation techniques such as Least Squares (LS) and Linear Minimum Mean Square Error (LMMSE) for different interpolation methods and modulation ...squared error (MSE) as the ...
5
Absolute surface metrology by shear rotation with position error correction
... position error correction in absolute interferometry tests based on rotational and translational shears, the estimation algorithm adopts least-squares technique to eliminate azimuthal errors ...
6
Partially linear models
... include least squares regression, asymptotically efficient estimation, bootstrap resampling, censored data analysis, linear measurement error models, nonlinear measurement models, nonlinear ...
216
Channel Frequency Response Estimation for MIMO Systems with Frequency-Domain Equalization
... CFR estimation scheme, which is hardware efficient when integrated with SC-FDE and space-time coding (STC) in MIMO ...square error (MSE) analysis of this CFR estimation scheme is provided, where we ...
14
Particle swarm optimization and least squares estimation of NARMAX
... parameter estimation, model ...Linear Least Squares solution methods (LLS) (Normal Equation (NE), QR decomposition (QR) and Singular Value Decomposition (SVD)) for parameter estimation using ...
7
The element wise weighted total least squares problem
... parameter estimation in a linear measurement error model AX ≈ B, A = A 0 + ˜ A, B = B 0 + ˜ B, A 0 X 0 = B 0 with row-wise independent and non-identically distributed measurement errors A ˜ , B ˜ ...total ...
29
An Error Controlled Method to Determine the Stellar Density Function in a Region of the Sky
... the least-squares method suffers from the deficiency that, its estimation procedure does not have detecting and controlling techniques for the sensitivity of the solution to the optimization ...
12
Least squares estimation of probability measures in the Prohorov metric framework
... the error process which is assumed to generate the collected ...the error process satisfies these assumptions, posterior analysis such as residual plots [24, ...
31
Least squares estimation for GARCH (1,1) model with heavy tailed errors
... In this paper, we suggest using LSE for the estimation of a GARCH (1,1) model. The estimator is based on the log transformation of the squared data. We establish the consistency and asymptotic normality of the ...
41
1. Channel estimation and modelling of mimo in indoor environment
... channel estimation techniques are employed in order to judge the physical effects of the medium ...various estimation techniques for MIMO OFDM Systems such as Least Squares (LS), Minimum Mean ...
15
Empirical distributions in least squares estimation for distributed parameter systems
... the estimation of error distributions in least squares identication of distributed parameter ...approximate error sequences are ...the error dis- ...
22
ESTIMATION ACCURACY OF EXPONENTIAL DISTRIBUTION PARAMETERS
... with estimation of parameters of the two parameter (location and scale) exponential ...the least squares method (LSM), relative least squares method (RELS), ridge regression method ...
16
International Journal of Emerging Technology and Advanced Engineering
... channel estimation techniques such as least squares (LMS) algorithm and recursive least squares algorithm (RLS) is planned for multiple input multiple output (MIMO) orthogonal frequency ...
5
Using Least Squares Support Vector Machines for Frequency Estimation
... frequency estimation algo- rithm identifies the estimate of corresponding to the classification error, which is insensitive to a very small frequency change to a certain ...
5
Kinematic calibration of a 6 DOF hybrid robot by considering multicollinearity in the identification Jacobian
... linearized error model of the polishing hybrid robot using screw theory and considering the all possible geometric source ...pose error twist and positional measurements of three target points on a triangle ...
15
AIC under the framework of least squares estimation
... appropriate least squares formulation of the AIC to compare a set of candidate models in two ...absolute error statistical model [20], i.e., we will use the ordinary least squares ...
16
A Least-squares Approach to Direct Importance Estimation
... We address the problem of estimating the ratio of two probability density functions, which is often referred to as the importance. The importance values can be used for various succeeding tasks such as covariate shift ...
55
Implementation of the Least-Squares Lattice with Order and Forgetting Factor Estimation for FPGA
... parameter estimation [1], echo suppression [2], or beam-forming [3] can be found for adaptive least squares ...recursive least squares (RLS) [4] is the solution of the minimum mean ...
11
Least squares estimation of a shift in linear processes
... the least squares method (LS) to the estimation of a shift ...underlying error distribution function and is computationally simple. The least squares procedure also allows a ...
31