Title
Analysis of an Adaptive Sampler Based on Weber's Law
Abstract
Weber's law suggests a logarithmic relationship between perceptual stimuli and human perception. The Weber sampler is an adaptive, nonuniform sampling mechanism that exploits Weber's law to sample the signal at a minimum rate without significant perceptual degradation. In this paper, we introduce and analyze a regularized Weber sampler for smooth deterministic signals as well as smooth random processes. While analysis for a fixed Weber constant δ is analytically intractable except for some special cases, we exploit the fact that the Weber constant is usually small. Under suitable assumptions, for deterministic signals, we provide analytical approximations to the number of samples in a unit time interval and the intersample times. For a random signal, we give analytical approximations to the expectation and probability distribution function of the respective quantities. Our class of deterministic as well as random signals is quite wide, and in particular covers bandlimited signals and signals satisfying second order ordinary differential equations. We also present a number of simulations to demonstrate that our approximations are good up to a Weber constant of 0.2, which is the regime of practical interest. Our results provide a source model for the Weber sampler, which can be used in the study of transmission of perceptual stimuli signals over communication links.
Year
DOI
Venue
2011
10.1109/TSP.2010.2101071
IEEE Transactions on Signal Processing
Keywords
Field
DocType
differential equations,probability,signal sampling,Weber law,Weber sampler,adaptive sampler,analytical approximations,bandlimited signals,communication links,fixed Weber constant,human perception,logarithmic relationship,nonuniform sampling mechanism,perceptual stimuli,perceptual stimuli signals,probability distribution function,random signal,second-order ordinary differential equations,signal sampling,smooth deterministic signals,smooth random processes,Adaptive sampling,Weber's law,haptics,perceptual signals
Differential equation,Ordinary differential equation,Stochastic process,Logarithm,Quantization (signal processing),Law,Deterministic system (philosophy),Probability density function,Mathematics,Nonuniform sampling
Journal
Volume
Issue
ISSN
59
4
1053-587X
Citations 
PageRank 
References 
13
0.67
14
Authors
2
Name
Order
Citations
PageRank
Onkar Dabeer1615.59
Subhasis Chaudhuri21384133.18