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How to recover a deleted message in signal? 

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In this paper we show that it may be possible to extract the hidden message signal without filtering in the frequency domain.
Sometimes the message can be reconstructed, but reallocating resources to recover the missed information can affect the efficiency and speed at which the message is understood.
By modulating signals that are accompanied by significant noise, it is possible to use synchronous detection to recover the signal.
Therefore, the message masked by chaotic signal from the transmitter can be perfectly recovered in the receiver.
The redundancy of the resulting information carrying signal enables us to devise a novel signal reconstruction technique that is able to recover relatively large parts of the chaotic signal starting from just a few samples of it.
Further, the hidden message can be approximately recovered by the equivalent control signal in the sense of least mean square.
When the signal-to-noise ratio is large enough, all the components of the signal are still present when the noise is deleted; otherwise, the smallest components of the signal are themselves erased in a quite rational and predictable way
Proceedings ArticleDOI
G. Rath, X. Henocq, C. Guillemot 
25 Nov 2001
21 Citations
It is shown that the message recovery by syndrome decoding of erasures and direct signal space projection from received samples are equivalent.
With the use of file signatures and known file structures it is possible to recover useful information when deleted.

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