Sensitivity Analysis for Binary Sampling Systems via Quantitative Fisher Information Lower Bounds

Sensitivity Analysis for Binary Sampling Systems via Quantitative Fisher Information Lower Bounds

Determining the quality of sensing devices exhibiting minimal digitization complexity is addressed. Measurements of such sensor systems are characterized by multivariate binary distributions and assessing sensitivity via the Cramér-Rao lower bound turns out to be intractable. In this cont...

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Bibliographic Details
Main Author: Stein, M.S (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Δ
Σ
ΣΔ-modulation
1-bit ADC
analog-to-digital conversion
Analog-to-digital conversions
Analogue-to-digital conversion
array processing
Array processing
coarse quantization
Coarse quantization
Computational modeling
Computational modelling
Covariance matrices
Covariance matrix
Data models
Digital to analog conversion
exponential family
Exponential family
Fisher information
Fisher information matrix
Inverse problems
Maximum likelihood estimation
Maximum likelihood estimator
maximum-likelihood estimator
-modulation
Particle measurement
Particle measurements
Probabilistic logic
Quality control
Quantization (signal)
Sensitivity analysis
Sensors
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