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1 Everybody's first book on Regularization Theory.

2 By apriori choice of the regularization parameter respectively, the optimum asymptotic convergence order of the regularized solution is obtained.

3 In this paper, Bayesian Regularization algorithm and BP neural network were combined to forecast submarine sonar self-noise.

4 In this paper, a modified Tikhonov regularization CT image reconstruction algorithm from limited - angle was proposed.

5 The experimental results show that the regularization algorithm of the restoration of bar code signal can restrain the noise effectively when it is eliminating the effect of the point spread function.

6 Regularization is an effective way to eliminate such an instability.

7 Editing modernization is based on the regularization of editing work.

8 Total variation regularization method is a good choice to this problem.

9 By using the Tikhonov Regularization numerical inversion of black body radiation are discussed.

10 The mathematical solution for ill-posed problems is regularization. The computational foundation for deformable models is just regularization.

11 By using the Tikhonov Regularization Method,(www.Sentencedict.com) the related techniques for the numerical inversion of black body radiation are discussed.

12 By applying Argumented Lagrangian regularization techniques, the total variation restoration model was transformed into a system of nonsmooth equations.

13 The method of regularization and the technique of upper and lower solutions are employed to show the local existence and the continuation of the positive classical solution of the above problem.

14 Also an explicit solution of regularization to a special problem is constructed.

15 Based on the analysis of basic principle of electrical capacitance tomography and the image reconstruction algorithm, a conjugate gradient algorithm with optimized regularization is proposed.

16 A new framework of mollification methods based on L - generalized solution regularization Methods : Was proposed.

17 A new framework of mollification methods based on L-generalized solution regularization methods was proposed.

18 Therefore, maximum a posteriori estimates can be regarded as regularization ( regularization ) of the maximum likelihood estimate.

19 The techniques include extracting image edges, fitting a curve and pattern regularization.

20 This thesis analyzes the theoretics of a space - adaptive regularization method for blind image restoration.

21 The existence and stability of the optimal control is established based on the parabolic regularization method and the weak convergence technique.

22 Subsequently, as a important property, the time invariance of support set of solutions of regularization is proved. Also an explicit solution of regularization to a special problem is constructed.

23 Shui characters are classified into ancient and current characters based on the regularization of Shui Characters.

24 This paper proposes a blind image restoration algorithm iteratively using wavelet denoising and total variation regularization.

25 It is difficult for us to get the thermal contact resistance directly. In this paper, an inversion model and solve it by regularization method has been developed.

26 To solve the ill-posed problem in electrical capacitance tomography(ECT), a new image reconstruction algorithm based on total variation(TV) regularization is proposed.

27 Though restricted to early vision, it contains an easy - to - read introduction to ill-posed problems and regularization methods.

28 The ill-posedness inherent in the bandlimited signal extrapolation problem can be treated by means of regularization parameters.

29 So various methods are proposed by scholars to solve these problems, such as pulse spectrum method, the best perturbation method, Monte Carlo method, optimized and regularization method.

30 Theoretically , canonical truncated singular value decomposition ( TSVD ) is considered a good regularization method in solving ill - posed problems.