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Ill-Conditioned

Linear IC detectors for low to medium SNR ill conditioned communication systems with unknown noise variance

Linear IC detectors for low to medium SNR ill conditioned communication systems with unknown noise variance

... Many linear interference cancellation schemes have been shown to be equivalent to certain iterative methods [1], and therefore, they tend to have the same semi- convergence behavior for ill-conditioned ...

15

RSS-based Near-Collinear Anchor aided Positioning Algorithm for Ill-conditioned Scenario

RSS-based Near-Collinear Anchor aided Positioning Algorithm for Ill-conditioned Scenario

... Abstract: The conventional Received Signal Strength (RSS) based positioning algorithms such as Least Square (LS) and Weighted LS (WLS) produce significant estimation errors when the anchor nodes positions approach a ...

5

Stochastic Matrices and Lp Norms : New Algorithms for Solving Ill-conditioned Linear Systems of Equations

Stochastic Matrices and Lp Norms : New Algorithms for Solving Ill-conditioned Linear Systems of Equations

... define in two steps algorithms for efficiently solving any ill-conditioned, and possibly singular, linear system of equations. First, we construct an approximation of a generalized inverse of the matrix of ...

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On an Orthogonal Method of Finding Approximate Solutions of Ill-Conditioned Algebraic Systems and Parallel Computation

On an Orthogonal Method of Finding Approximate Solutions of Ill-Conditioned Algebraic Systems and Parallel Computation

... Now we can suggest the next numerical algorithm for the problem (2) based on the theorem 3. We can form sufficiently effective process of solving problem (2) with ill-conditioned or non-invertible matrix. ...

5

Second Order Regression with Two Predictor Variables Centered on Mean in an Ill Conditioned Model

Second Order Regression with Two Predictor Variables Centered on Mean in an Ill Conditioned Model

... Under the classic assumptions, the OLS method has some attractive statistical properties that have made it one of the most powerful and popular methods of regression analysis. However, OLS is not appropriate if the ...

10

Solving Ill Conditioned Linear Systems Using the Extended Iterative Refinement Algorithm: The Forward Error Bound

Solving Ill Conditioned Linear Systems Using the Extended Iterative Refinement Algorithm: The Forward Error Bound

... is a well known technique[3, 14, 15, 18], but aggregation used here both decreases the size of the input matrix and improves its conditioning. One may remark that aggregation can be applied recursively until no ...

8

Clustered Shrinkage Pores in Ill Conditioned Aluminum Alloy Die Castings

Clustered Shrinkage Pores in Ill Conditioned Aluminum Alloy Die Castings

... The geometric features of clustered shrinkage pores (CSP) in ill-conditioned aluminum alloy die castings were revealed and their effect on the fatigue strength was discussed. To obtain the geometric features ...

7

"Obstinate, Impertinent, Ill-Conditioned": Child Labor, Exploitation and Xenophobia in the British Home Children Movement

"Obstinate, Impertinent, Ill-Conditioned": Child Labor, Exploitation and Xenophobia in the British Home Children Movement

... Many of these child migrants faced abuse and neglect upon their arrival to the Cape of.. Good Hope.[r] ...

43

Effects of ill-conditioned data on least squares adaptive filters

Effects of ill-conditioned data on least squares adaptive filters

... The rate of growth of the actual 8 w and its bound are nearly the same over the range of equalizer orders shown. This is in contrast to Figure 4b which shows[r] ...

13

Efficient Methods For Large-Scale Empirical Risk Minimization

Efficient Methods For Large-Scale Empirical Risk Minimization

... these ill conditioned functions SGD is limited by the already slow convergence times of deterministic gradient ...with ill conditioned functions in deterministic set- ting is Newton’s ...

321

An Improved Wavelet Based Preconditioner for Sparse Linear Problems

An Improved Wavelet Based Preconditioner for Sparse Linear Problems

... for ill conditioned sparse matrices and shown that these preconditioners are more effective compared with that of classical preconditioners by ap- plying them to several test ...

7

Optimal Static State Estimation Using hybrid Particle Swarm Differential Evolution Based Optimization

Optimal Static State Estimation Using hybrid Particle Swarm Differential Evolution Based Optimization

... The optimized estimators have been tested on all five standard and two ill-conditioned test systems extensively under different normal and bad data measurement condi- tions. The choice of explicit results ...

7

Solving Load Flow Problems of Power  System by Explicit Pseudo Transient  Continuation (E ψtc) Method

Solving Load Flow Problems of Power System by Explicit Pseudo Transient Continuation (E ψtc) Method

... In this paper, we introduce a new method, E- Ψtc. By two examples, one of them is a tough nonlinear equation; another one is super lager scale ill-conditioned linear equations. These results fully ...

17

Sun_unc_0153D_14737.pdf

Sun_unc_0153D_14737.pdf

... For high dimensional data, it is dicult to accurately estimate w∗, since the sample covariance matrix estimator Σ ˆ R can be either ill-conditioned or not invertible for large q > n. [r] ...

117

Efficient frequency response computation for loworder modelling of spatially distributed systems

Efficient frequency response computation for loworder modelling of spatially distributed systems

... a memory M required to store largest matrix constructed during computation of frequency response; b condition number κ of most ill-conditioned matrix which required inversion during comp[r] ...

27

Solving Large Scale Nonlinear Equations by a New ODE Numerical Integration Method

Solving Large Scale Nonlinear Equations by a New ODE Numerical Integration Method

... Keywords: Nonlinear Equations, Ordinary Differential Equations, Numerical Integration, Fixed Point Iteration, Newton’s Method, Stiff, Ill-Conditioned.. If we take h = 1, we can get 1 As [r] ...

8

World Journal Control Science and Engineering

World Journal Control Science and Engineering

... to ill-conditioned systems (11 buses), IEEE test systems (300 buses) and the 638-bus system corresponding to part of South-Southeast Brazilian system, improve the characteristics of the conventional method ...

7

A Rapid Numerical Algorithm to Compute Matrix Inversion

A Rapid Numerical Algorithm to Compute Matrix Inversion

... An effective tool to compute approximate inverses of the matrix A is to use iteration- type methods for this purpose which are based on matrix multiplications and are of great interest and accuracy when implementing on ...

12

Title: GENERATE A HIGHER RESOLUTION IMAGE FROM LOWER RESOLUTION INPUT IMAGE

Title: GENERATE A HIGHER RESOLUTION IMAGE FROM LOWER RESOLUTION INPUT IMAGE

... Reconstruction-Based SR Typically, reconstruction-based SR algorithms require image patches from one or several images (frames) when synthesizing the SR output. This is achieved by registration and alignment of multiple ...

6

Identification of Weakest Node in Radial Distribution System Using Fast Voltage Stability Index

Identification of Weakest Node in Radial Distribution System Using Fast Voltage Stability Index

... ABSTRACT: Now-a-days, the electrical energy suppliers cannot cope up with the increasing demand of end users. The restructuring of the existing network and addition of active support are the viable solutions to balance ...

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