Nonlinear signal processing : a statistical approach /

Nonlinear Signal Processing: A Statistical Approach focuses on unifying the study of a broad and important class of nonlinear signal processing algorithms which emerge from statistical estimation principles, and where the underlying signals are non-Gaussian, rather than Gaussian, processes. Notably,...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Arce, Gonzalo R.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley-Interscience, ©2005.
Temas:
Signal processing > Mathematics.
Statistics.
Traitement du signal > Mathématiques.
Statistique.
statistics.
COMPUTERS > Information Theory.
TECHNOLOGY & ENGINEERING > Signals & Signal Processing.
Signal processing > Mathematics
Statistics
Communication Technology.
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction
  • pt. I. Statistical foundations
  • 2. NonGaussian models
  • 3. Order statistics
  • 4. Statistical foundations of filtering
  • pt. II. Signal processing with order statistics
  • 5. Median and weighted median smoothers
  • 6. Weighted median filters
  • 7. Linear combination of order statistics
  • pt. III. Signal processing with the stable model
  • 8. Myriad smoothers
  • 9. Weighted myriad filters.

Ejemplares similares