New ping-pong scheduling for low-latency EMD engine design in Hilbert-Huang transform
Journal
IEEE Transactions on Circuits and Systems II: Express Briefs
Journal Volume
60
Journal Issue
8
Pages
532-536
Date Issued
2013
Author(s)
Abstract
Hilbert-Huang transform (HHT) is a powerful tool to analyze biomedical signals such as electroencephalography and electrocardiography signals. Empirical mode decomposition (EMD) is the kernel operation in HHT. Because an EMD algorithm usually needs large memory with long latency in computation, EMD is generally implemented by offline computations. In this brief, we propose a low-cost EMD engine with novel ping-pong scheduling. The resulting chip implementation can reduce half latency of the conventional EMD. Compared with the data-reuse scheme, the latency is reduced to only 0.003%, and the energy consumption can be reduced to 1%. The proposed EMD engine design makes the sliding ensemble EMD feasible for real-time HHT applications. © 2004-2012 IEEE.
Subjects
Empirical mode decomposition (EMD); Hilbert-Huang transform (HHT); ping-pong; sliding ensemble EMD (EEMD); VLSI
SDGs
Other Subjects
Empirical Mode Decomposition; Hilbert Huang transforms; Ping-pongs; sliding ensemble EMD (EEMD); VLSI; Bioelectric phenomena; Electrophysiology; Energy utilization; Machine design; Scheduling; Signal processing
Type
journal article