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Estimating the Number of Components by a Data Independent Penalty Function Approach by Debasis Kundu; Swagata Nandi is a Mathematics article available to read on EtoBox.
What is Estimating the Number of Components by a Data Independent Penalty Function Approach about?
We consider the estimation procedure of the number of components of a two-dimensional sinusoidal model which has wide applications in statistical signal processing and in texture classiÿcations. The proposed method is based on the penalty function approach like other information theoretic criteria. The new method is shown to be consistent and we provide the performance analysis of the proposed method. It is observed that the performance analysis can be used to provide a data independent penalty function from a class of penalty functions. The e ectiveness of the proposed method is veriÿed using computer simulations.
Who reads Estimating the Number of Components by a Data Independent Penalty Function Approach?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Debasis Kundu; Swagata Nandi
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0378-3758)
- Published
- 2003
- Language
- EN
- Field
- Mathematics (Physical Sciences)