Missing samples analysis in signals for applications to L-estimation and compressive sensing
- Author
- STANKOVIC, Ljubisa1 ; STANKOVIC, Srdjan1 ; AMIN, Moeness2
[1] University of Montenegro, Podgorica, Montenegro, United States
[2] Villanova University, Villanova, United States - Source
Signal processing. 2014, Vol 94, pp 401-408, 8 p ; ref : 22 ref
- CODEN
- SPRODR
- ISSN
- 0165-1684
- Scientific domain
- Telecommunications
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Compressive sensing Detection Fourier transform L-estimation Missing samples Noisy signal Spectral analysis
- Keyword (fr)
- Analyse signal Analyse spectre Donnée manquante Détection signal Méthode statistique Signal aléatoire Signal complexe Simulation ordinateur Sous échantillonnage Traitement signal Transformation Fourier Echantillonnage parcimonieux
- Keyword (en)
- Signal analysis Spectrum analysis Missing data Signal detection Statistical method Random signal Complex signal Computer simulation Subsampling Signal processing Fourier transformation Compressed sensing
- Keyword (es)
- Análisis de señal Análisis espectro Dato que falta Detección señal Método estadístico Señal aleatoria Señal compleja Simulación computadora Submuestreo Procesamiento señal Transformación Fourier
- 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
- 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 / 001D04A04A2 Detection, estimation, filtering, equalization, prediction
- 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 / 001D04A04C Sampling, quantization
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 27907438
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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DOI
10.1016/j.sigpro.2013.07.002 
https://dx.doi.org/10.1016/j.sigpro.2013.07.002
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