An efficient kernel optimization method for radar high-resolution range profile recognition
- Author
- BO CHEN1 ; HONGWEI LIU1 ; ZHENG BAO1
[1] National Key Laboratory for Radar Signal Processing, Xidian University, Xi'an 710071, Shaanxi, China - Source
EURASIP Journal on Advances in Signal Processing (Print). 2007, Vol 2007, Num 15 ; H1-H10 ; ref : 13 ref
- ISSN
- 1687-6172
- Scientific domain
- Telecommunications
- Publisher
- Hindawi Publishing Corporation, Cairo
- Publication country
- Egypt
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse composante principale Approximation L2 Classification automatique Classification signal Evaluation performance Fonction noyau Haute résolution Machine vecteur support Méthode noyau Méthode statistique Optimisation Radar Speckle
- Keyword (en)
- Principal component analysis L2 approximation Automatic classification Signal classification Performance evaluation Kernel function High resolution Support vector machine Kernel method Statistical method Optimization Radar Speckle
- Keyword (es)
- Análisis componente principal Aproximación L2 Clasificación automática Evaluación prestación Función núcleo Alta resolucion Máquina vector soporte Método núcleo Método estadístico Optimización Radar Diagrama mancha
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19002364
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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