標題: Multiple Stopping Criteria and High-Precision EMD Architecture Implementation for Hilbert-Huang Transform
作者: Lu, Tsung-Che
Chen, Pei-Yu
Yeh, Shih-Wei
Van, Lan-Da
資訊工程學系
Department of Computer Science
公開日期: 1-一月-2014
摘要: In this work, a multiple stopping criteria and high-recision empirical mode decomposition (EMD) hardware architecture implementation is proposed for Hilbert-Huang transform (HHT) in biomedical signal processing. The proposed architecture can support multiple stopping criteria including the constant criteria, the SD criteria and the ratio criteria. The 38-bit floating point precision is adopted in this work to support 10 IMF components with enough accuracy. The off-chip memory architecture is adopted to increase the processing capacity. By the pipelined cubic spline coefficient unit (PCSCU), the computation time can be reduced. The proposed EMD hardware architecture is implemented in TSMC 90 nm CMOS process with the core area of 4.47 mm(2) at the operating frequency of 40 MHz. The post-layout simulation result shows that our work with the constant criterion can speed up the performance 50.4 times compared to the software computation on a single core of ARM11 for 2K data size breathing signals.
URI: http://hdl.handle.net/11536/129760
ISBN: 978-1-4799-2346-5
ISSN: 2163-4025
期刊: 2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)
起始頁: 200
結束頁: 203
顯示於類別:會議論文