least-squares-error algorithm
Approximate Least Squares Accelerator
... an error in some computation, with EM=0, ...the algorithm level, it can skip some iterations in a loop, which corre- sponds to a software approximate technique called loop ...
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Data filtering-based least squares iterative algorithm for Hammerstein nonlinear systems by using the model decomposition
... output error autoregressive (IN-OEAR) system, this paper studies its iterative identification ...a least squares based iterative algorithm for the IN-OEAR ...based least squares ...
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Relative Performance Evaluation of Single Chip CFA Color Reconstruction Algorithms Used in Embedded Vision Devices
... Square Error ) & PSNR (Peak Signal to Noise Ratio) tabled at Table: ...efficient algorithm the PSNR should be more and MSE should be less ...algorithms. Least-Squares Algorithm for ...
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Analysis of partial least squares algorithm based on SBM DEA
... partial least squares (PLS) is able to recognize the noise, however, it fails to analyze the noise in the multidimensional ...) algorithm to optimize ...SBM algorithm are ...relative ...
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Combined state and parameter estimation for Hammerstein systems with time-delay using the Kalman filtering
... improved least squares identification algorithm for multivariable Hammerstein output error moving average systems by using the Taylor expansion on a quadratic criterion function and defining ...
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Convergence rate for the moving least squares learning with dependent sampling
... moving least-squares (MLS) method by the regression learning framework under the assumption that the sampling process satisfies the α -mixing ...rigorous error analysis by using the probability ...
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Distributed Learning with Regularized Least Squares
... above error analysis for the distributed learning algo- rithm is to use the unbiasedness and independence to get (40) where the norm is squared in the expected ...learning algorithm (2) but have difficulty ...
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Improved NLOS Error Mitigation Based on LTS Algorithm
... NLOS error, is ...analyses error mitigation caused by NLOS signal propagation, and numerous research works have been published in this area ...NLOS error mitigation techniques are further subdivided ...
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Recursive Least Squares Dictionary Learning Algorithm for Electrical Impedance Tomography
... the algorithm failing into a local minimum. Furthermore, the algorithm has limitations in dealing with high-dimensional data and computational complexity, hence the rate of convergence is slowed ...the ...
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Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning
... partial least squares model (PLS), partial least squares model combined with successful projection algorithm (SPA-PLS), and selective ensemble learning based on feature selection ...
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Adaptive Minimum Symbol Error Rate CDMA Linear Multiuser Detector for Pulse Amplitude Modulation
... symbol error rate (MSER) linear multiuser detector (MUD) is proposed for direct sequence code divi- sion multiple access (DS-CDMA) systems employing multilevel pulse- amplitude modulation ( -PAM) ...symbol ...
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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 ...
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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 ...
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An Error Controlled Method to Determine the Stellar Density Function in a Region of the Sky
... C = C σ ≤ σ σ σ σ σ ≤ µ (45) where Tol and µ small numbers. In writing Equation (45) we do not mean to establish this particular defini- tion of an acceptable solution set, as it is only intended to give the users of ...
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Newton Krylov Type Algorithm for Solving Nonlinear Least Squares Problems
... The presented algorithm is a Newton-Krylov type algorithm. It requires a fixed-size limited storage proportional to the size of the problem and relies only upon matrix vector product. It is based on the ...
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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] ...
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Least Squares Filtering Algorithm for Reactive Near Field Probe Correction
... Constrained Least Squares Filtering Method compared with the Direct Inverse Filtering technique, we consider a situation for which the actual device under test radiated electric field and the exact probe ...
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A New Algorithm for Generalized Least Squares Factor Analysis with a Majorization Technique
... MD algorithm is to study its mathematical properties as have been done for the algorithms in the other estimation ...EM algorithm for the ML estimation [12] can never give an improper solution under a ...
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Rapid detection of total nitrogen content in soy sauce using NIR spectroscopy
... A method for the rapid and nondestructive determination of total nitrogen content in soy sauce was explored. Pre- diction models were established using near-infrared spectroscopy combined with each of the following ...
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Least Squares Matrix Algorithm for State Space Modelling of Dynamic Systems
... adaptive least mean squares (LMS) algorithm has been extensively applied in the analysis of various biomedical and industrial systems ...LMS algorithm is the poor adaptation in systems with ...
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