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Figure 5 | BioMedical Engineering OnLine

Figure 5

From: S-EMG signal compression based on domain transformation and spectral shape dynamic bit allocation

Figure 5

Simulation results for isometric protocol. Performance evaluation of the proposed method of S-EMG data compression: emphasized in this figure is the Decreasing Square-Root Bit Allocation Shape (DSR) and Rotated Hyperbolic Tangent Bit Allocation Shape (RHT) spectral shape approximation. Also shown in this illustrative scenery is a comparison of the performance evaluation with relevant works found in scientific literature: Norris et al.[7]–based on EZW (embedded zero-tree wavelets) scheme, Berger et al.[13]–based Wavelet Transform, neural network bit allocation procedure and Huffman entropy coding, Berger et al.–improved [14]–based Wavelet Transform, neural network bit allocation procedure and arithmetic entropy coding, Costa et al.[20]–based on two-dimensional technique to S-EMG compression, and Filho et al.[15]–based on recurrent patterns algorithm. It is important to notice that [13–15] and [20] used the same signal data bank used in this work.

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