NDLI: Asynchronous processing of sparse signals

Content Provider	IET Digital Library
Author	Cimino, Azime Can Sejdić, Ervin Chaparro, Luis F.
Abstract	Unlike synchronous processing, asynchronous processing is more efficient in biomedical and sensing networks applications as it is free from aliasing constraints and quantization error in the amplitude, it allows continuous–time processing and more importantly data is only acquired in significant parts of the signal. We consider signal decomposers based on the asynchronous sigma delta modulator (ASDM), a non-linear feedback system that maps the signal amplitude into the zero-crossings of a binary output signal. The input, the zero-crossings and the ASDM parameters are related by an integral equation making the signal reconstruction difficult to implement. Modifying the model for the ASDM, we obtain a recursive equation that permits to obtain the non-uniform samples from the zero-time crossing values. Latticing the joint time-frequency space into defined frequency bands, and time windows depending on the scale parameter different decompositions are possible. We present two cascade low- and high-frequency decomposers, and a bank-of-filters parallel decomposer. This last decomposer using the modified ASDM behaves like a asynchronous analog to digital converter, and using an interpolator based on Prolate Spheroidal Wave functions allows reconstruction of the original signal. The asynchronous approaches proposed here are well suited for processing signals sparse in time, and for low-power applications.
Starting Page	257
Ending Page	266
Page Count	10
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 3, May (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0398
Journal	IET Signal Processing
Publisher Date	2014-04-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ASDM Asynchronous Analogue-to-digital Converter Asynchronous Processing Asynchronous Sigma Delta Modulator Biomedical Network Application Compressed Sensing Continuous-time Processing Integral Equation Mathematical Analysis Nonlinear Feedback System Prolate Spheroidal Wave Function Quantisation Error Sensing Network Application Signal Amplitude Signal Decomposers Signal Processing And Detection Signal Processing Theory Signal Reconstruction Sparse Signal Zero Crossings
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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