Single and multicomponent digital optical signal analysis : estimation of phase and its derivatives /

A review of the tools and methods of multicomponent fringe analysis and interferometric data, including a wide range of digital signal-processing-based interferometric data-processing techniques.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kulkarni, Rishikesh (Autor), Rastogi, Pramod K., 1951- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2017]
Colección:IOP (Series). Release 3.
IOP expanding physics.
Temas:
Interferometry > Mathematics.
Optical measurements.
Solids > Optical properties.
Image analysis.
Optical physics.
SCIENCE / Physics / Optics & Light.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Preface
  • 1. Introduction
  • 2. Phase estimation : spatial fringe analysis
  • 2.1. Background
  • 2.2. Carrier fringe pattern demodulation
  • 2.3. Closed fringe pattern demodulation
  • 3. Fringe denoising and phase unwrapping
  • 3.1. Real sinusoidal fringe pattern denoising
  • 3.2. Phase fringe pattern denoising
  • 3.3. Phase unwrapping
  • 4. Phase estimation : multicomponent spatial fringe analysis
  • 4.1. Background
  • 4.2. Segment-wise multiple phase estimation
  • 4.3. Block-wise multiple phase estimation
  • 4.4. Pixel-wise multiple phase estimation
  • 5. Phase derivative estimation : spatial fringe analysis
  • 5.1. Non-parametric phase derivative estimation : space frequency analysis
  • 5.2. Parametric phase derivative estimation : autoregressive modeling of fringe signal
  • 5.3. Parametric phase derivative estimation : matrix enhancement and matrix pencil
  • 6. Simultaneous estimation of unwrapped phase and its derivatives
  • 6.1. Simultaneous estimation of unwrapped phase and arbitrary order phase derivatives
  • 6.2. Closed fringe demodulation
  • 6.3. Simultaneous estimation of unwrapped phase and its first order phase derivative
  • 7. Signal separation techniques : multicomponent spatial fringe analysis
  • 7.1. Signal separation based on frequency discrimination
  • 7.2. Signal separation based on amplitude discrimination
  • 8. Phase estimation : temporal fringe analysis
  • 8.1. PSI algorithms with known phase shifts
  • 8.2. PSI algorithms with unknown and constant phase shifts
  • 8.3. PSI algorithms with random phase shifts.

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