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. Author manuscript; available in PMC: 2014 Dec 15.
Published in final edited form as: J Neurosci Methods. 2014 Apr 24;230:51–64. doi: 10.1016/j.jneumeth.2014.04.018

Figure 6. Effect of sampling rate and signal resolution on real-time template matching for different metrics.

Figure 6

A-B) For simulations with Medium SNR, template matching performance for different sampling rates (A), signal resolutions (B) and different metrics: Norm 1 (red), Mahalanobis (cyan), Norm Infinite (green), Squared Euclidean (blue), and Nearest Neighbors (black). C-D) Template matching performance for different sampling rates (C) and signal resolutions (D) for the Squared Euclidean distance and for high (green), medium (yellow), and low (red) SNRs. E) Relative complexity of each metric for signals with 28 kHz and 16-bit resolution. Values are normalized to the metric with least complexity (Squared Euclidean distance). F) Relative complexity of the Squared Euclidean distance for different sampling rates and signal resolutions. Values are normalized to the condition with highest complexity (28 kHz and 16-bit resolution).