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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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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1725852099233710080 |