Error analysis and implementation considerations of decoding algorithms for time-encoding machine

<p>Abstract</p> <p>Time-encoding circuits operate in an asynchronous mode and thus are very suitable for ultra-wideband applications. However, this asynchronous mode leads to nonuniform sampling that requires computationally complex decoding algorithms to recover the input signals....

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Main Authors: Valley George, Kong Xiangming, Matic Roy
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://asp.eurasipjournals.com/content/2011/1/1
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spelling doaj-81eddbf66f4646aab4feb34264d179012020-11-24T21:58:25ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802011-01-01201111Error analysis and implementation considerations of decoding algorithms for time-encoding machineValley GeorgeKong XiangmingMatic Roy<p>Abstract</p> <p>Time-encoding circuits operate in an asynchronous mode and thus are very suitable for ultra-wideband applications. However, this asynchronous mode leads to nonuniform sampling that requires computationally complex decoding algorithms to recover the input signals. In the encoding and decoding process, many non-idealities in circuits and the computing system can affect the final signal recovery. In this article, the sources of the distortion are analyzed for proper parameter setting. In the analysis, the decoding problem is generalized as a function approximation problem. The characteristics of the bases used in existing algorithms are examined. These bases typically require long time support to reach good frequency property. Long time support not only increases computation complexity, but also increases approximation error when the signal is reconstructed through short patches. Hence, a new approximation basis, the Gaussian basis, which is more compact both in time and frequency domain, is proposed. The reconstruction results from different bases under different parameter settings are compared.</p> http://asp.eurasipjournals.com/content/2011/1/1Time encodingsamplingreconstructionfunction approximation
collection DOAJ
language English
format Article
sources DOAJ
author Valley George
Kong Xiangming
Matic Roy
spellingShingle Valley George
Kong Xiangming
Matic Roy
Error analysis and implementation considerations of decoding algorithms for time-encoding machine
EURASIP Journal on Advances in Signal Processing
Time encoding
sampling
reconstruction
function approximation
author_facet Valley George
Kong Xiangming
Matic Roy
author_sort Valley George
title Error analysis and implementation considerations of decoding algorithms for time-encoding machine
title_short Error analysis and implementation considerations of decoding algorithms for time-encoding machine
title_full Error analysis and implementation considerations of decoding algorithms for time-encoding machine
title_fullStr Error analysis and implementation considerations of decoding algorithms for time-encoding machine
title_full_unstemmed Error analysis and implementation considerations of decoding algorithms for time-encoding machine
title_sort error analysis and implementation considerations of decoding algorithms for time-encoding machine
publisher SpringerOpen
series EURASIP Journal on Advances in Signal Processing
issn 1687-6172
1687-6180
publishDate 2011-01-01
description <p>Abstract</p> <p>Time-encoding circuits operate in an asynchronous mode and thus are very suitable for ultra-wideband applications. However, this asynchronous mode leads to nonuniform sampling that requires computationally complex decoding algorithms to recover the input signals. In the encoding and decoding process, many non-idealities in circuits and the computing system can affect the final signal recovery. In this article, the sources of the distortion are analyzed for proper parameter setting. In the analysis, the decoding problem is generalized as a function approximation problem. The characteristics of the bases used in existing algorithms are examined. These bases typically require long time support to reach good frequency property. Long time support not only increases computation complexity, but also increases approximation error when the signal is reconstructed through short patches. Hence, a new approximation basis, the Gaussian basis, which is more compact both in time and frequency domain, is proposed. The reconstruction results from different bases under different parameter settings are compared.</p>
topic Time encoding
sampling
reconstruction
function approximation
url http://asp.eurasipjournals.com/content/2011/1/1
work_keys_str_mv AT valleygeorge erroranalysisandimplementationconsiderationsofdecodingalgorithmsfortimeencodingmachine
AT kongxiangming erroranalysisandimplementationconsiderationsofdecodingalgorithmsfortimeencodingmachine
AT maticroy erroranalysisandimplementationconsiderationsofdecodingalgorithmsfortimeencodingmachine
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