A Steady-State Kalman Predictor-Based Filtering Strategy for Non-Overlapping Sub-Band Spectral Estimation

This paper focuses on suppressing spectral overlap for sub-band spectral estimation, with which we can greatly decrease the computational complexity of existing spectral estimation algorithms, such as nonlinear least squares spectral analysis and non-quadratic regularized sparse representation. Firs...

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Detalles Bibliográficos
Autores principales: Li, Zenghui, Xu, Bin, Yang, Jian, Song, Jianshe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327010/
https://www.ncbi.nlm.nih.gov/pubmed/25609038
http://dx.doi.org/10.3390/s150100110

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4327010/
https://www.ncbi.nlm.nih.gov/pubmed/25609038
http://dx.doi.org/10.3390/s150100110

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