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. 2021 Aug 26;15:682063. doi: 10.3389/fnins.2021.682063

Table 1.

Comparison of compressed sensing (CS) methods for neural signals.

References CS encoder CS decoder Dataset SNDR/CR
Gangopadhyay et al. (2011) Analog Wavelet Physiobank NA
Bernoulli 1-min ECoG, EEG 16x
Charbiwala et al. (2011) NA Learned supports Private ≈20 dB
BPDN EEG 2x
Chen et al. (2012) Digital NA Private ≈10 dB
Bernoulli/Binary 1-min EEG 10x
Schmale et al. (2013) NA DWT/DCT/DFT/WHT MT dataset ≈20 dB
NA Spikes, LFPs 2x
Zhou et al. (2013) NA K-SVD Hippocampus ≈13.7 dB
Circulant and Toepliz IST Spikes 60x
Suo et al. (2014) Digital Spike data Leicester ≈20 dB
Bernoulli IST Spikes 3x
Shoaran et al. (2014) Analog Gabor Private ≈14 dB
Bernoulli 1, 2-min ECoG 16x
Zhang et al. (2014) Digital K-SVD Leicester ≈13 dB
Bernoulli OMP Spikes ≈5x
Zhang et al. (2015) Digital K-SVD Private ≈13 dB
Bernoulli OMP Spikes 16x
Zamani et al. (2016) Digital BK-SVD Leicester ≈18 dB
Bernoulli BSBL Spikes 9.8x
Sun et al. (2017) Digital Analysis prior Leicester ≈12 dB
Bernoulli 1-min Spikes 8x
Zhao et al. (2018) Digital K-SVD HC-1, CHB-MIT ≈12 dB
Sparse Binary 1-min Spikes, EEG 4x
Zhao et al. (2019) Digital DCT HC-1 ≈28/25 dB
Binary Binary weighted ℓ1-min Spikes, LFPs 2x
Sun et al. (2021a) Digital Untrained DNN Leicester, Neuropixels ≈16 dB
Gaussian Spikes 5x
Sun et al. (2021b) Digital ADMM PFC-2, Neuropixels ≈18 dB
Sparse Binary LFPs 32x