2013 IEEE International Conference on Acoustics, Speech and Signal Processing 2013
DOI: 10.1109/icassp.2013.6638472
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Abstract: This paper presents a novel approach to acquire multichannel wireless intracranial neural data based on a compressive sensing scheme. The designed circuits are extremely compact and low-power which confirms the relevance of the proposed approach for multichannel high-density neural interfaces. The proposed compression model enables the acquisition system to record from a large number of channels by reducing the transmission power per channel. Our main contributions are the twofold. First, a CMOS compressive se… Show more

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Cited by 12 publications
(35 citation statements)
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“…At the receiver, the signal is assumed to be sparse in some domain W (usually Gabor [1,2], wavelet [3] or DCT [4]); the sparsifying transform is chosen such that it is orthogonal. Using orthogonality, it is possible to express (13) as follows:…”
Section: Literature Reviewmentioning
confidence: 99%
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“…At the receiver, the signal is assumed to be sparse in some domain W (usually Gabor [1,2], wavelet [3] or DCT [4]); the sparsifying transform is chosen such that it is orthogonal. Using orthogonality, it is possible to express (13) as follows:…”
Section: Literature Reviewmentioning
confidence: 99%
“…The analysis-synthesis pair only holds for orthogonal transforms and tight-frames. In general the Gabor [1,2] or spline [3] basis is not orthogonal or tight-frame. Thus they do not follow the nice analysissynthesis form.…”
Section: Literature Reviewmentioning
confidence: 99%
See 3 more Smart Citations