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This paper constructs a redundant dictionary using neural spike signals and uses a compressed sensing method to compress and reconstruct neural signals, which are cut into several segments of same length. By analyzing neural signals with different signal to noise ratios (SNRs), different types of spikes and different spike widths, we verify the performance of the method. Results show that, when the...
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