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Development of mathematical model for signal‐dependent linear adaptive level‐based sampling
Author(s) -
Srivastava Abhinav,
Srinivasan K.
Publication year - 2016
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.2128
Subject(s) - quantization (signal processing) , matlab , computer science , sampling (signal processing) , control theory (sociology) , algorithm , signal (programming language) , mathematical model , mathematics , statistics , artificial intelligence , control (management) , programming language , operating system , filter (signal processing) , computer vision
Summary A mathematical model for linear adaptive level‐based sampling is developed in this paper. The proposed mathematical model provides a gradual change in quantization size and maintains time difference between two successive samples greater than or equal to loop delay of the system. This model is developed to minimize signal slope overload distortion as well as reduction in quantization noise. The proposed mathematical model is demonstrated in MATLAB simulation environment. Simulation results are compared with level‐based sampling and adaptive level‐based sampling based on bit‐level compression. Copyright © 2015 John Wiley & Sons, Ltd.