Book “Data Precision”
Title:
Data Precision
Subtitle:
Sampling Theory, Noise, and Resolution
Editor:
Michael Alan Ingram
Language:
English
Categories:
Science
Contents:
- Preface
- Chapter: Signals
- Signal (electrical engineering)
- Sensor
- Analog signal
- Signal processing
- Discrete-time signal
- Discrete time and continuous time
- Complex number
- Impulse response
- Transfer function
- Signal transfer function
- Digital signal processing
- Pulse (signal processing)
- Signal-to-noise ratio
- Dirac delta function
- Full width at half maximum
- Bandwidth (signal processing)
- Spectral width
- Aliasing
- Anti-aliasing filter
- Nyquist–Shannon sampling theorem
- Nyquist rate
- Oversampling
- Convolution theorem
- Convolution
- Deconvolution
- Autocorrelation
- Circular segment
- Fourier transform
- Fast Fourier transform
- Finite difference
- Lagrangian
- Chapter: Optics
- Waveform
- Wavefront coding
- Pupil function
- F-number
- Coma (optics)
- Strehl ratio
- Free-space optical communication
- Beer–Lambert law
- Absorption (electromagnetic radiation)
- Point spread function
- Optical aberration
- Optical depth
- Depth of field
- Optical transfer function
- Albedo
- Geometric albedo
- Chapter: Scattering
- Scattering theory
- Backscatter
- Coherent backscattering
- Inverse scattering problem
- Inverse Raman effect
- Mie scattering
- Incoherent scatter
- Filtered Rayleigh scattering
- Codes for electromagnetic scattering by cylinders
- Codes for electromagnetic scattering by spheres
- Chapter: Imaging
- Lambertian reflectance
- Image processing
- Digital image processing
- Chapter: Noise
- Noise (electronics)
- Entropy (information theory)
- Chapter: Resolution
- Field of view
- Sampling (signal processing)
- Quantization (signal processing)
- Optical resolution
- Image resolution
- Display resolution
- Graphics display resolution
- Temporal resolution
- Spectral resolution
- Minimum resolvable contrast
- Minimum resolvable temperature difference
- Dots per inch