窄带数据稀疏信号的非线性恢复

1995 International Conference on Acoustics, Speech, and Signal Processing Pub Date : 1995-05-09 DOI:10.1109/ICASSP.1995.480462

R. Gopinath

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引用次数: 1

摘要

本文描述了某一信号恢复问题与里德-所罗门码译码之间的联系。研究表明，任何解码里德-所罗门码(有限域)的算法都可以用于从窄带信息中恢复宽带信号(实/复域)。结果还表明，在任意2N/sub - t/频率采样的连续频带中，最多可以恢复出N/sub - t/频率采样的信号。

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Nonlinear recovery of sparse signals from narrowband data

This paper describes the connection between a certain signal recovery problem and the decoding of Reed-Solomon codes. It is shown that any algorithm for decoding Reed-Solomon codes (over finite fields) can be used to recover wide-band signals (over the real/complex field) from narrow-band information. It also shows that a signal with at most N/sub t/ frequency samples can be recovered from any contiguous band of 2N/sub t/ frequency samples.

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来源期刊

1995 International Conference on Acoustics, Speech, and Signal Processing

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