Design and Implementation of Multiple Stopping Criteria EMD for Hilbert-Huang Transform
| Autor: | 葉士維 |
|---|---|
| Rok vydání: | 2012 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 This thesis presents a low-computation-time and high-accuracy hardware accelerator of multiple stopping criteria empirical mode decomposition (EMD) unit for Hilbert Huang Transform (HHT) with the application to breath signals. The four-stage pipeline and FIFO structures are used to decrease the computation latency for cubic spline unit. From accuracy viewpoint, the 38-bit floating-point format is used to approximate the accuracy of double-precision format. Moreover, we use off-chip memory approach to process the huge input data for EMD calculation. Compared with the EMD in software, the proposed EMD hardware accelerator implemented in TSMC 90nm CMOS process at 40 MHz with core area 4.47mm2 can speed up the performance at least 43 times with respect to that in single core of ARM11 MPcore. From the hardware simulation results, the normalized root mean squared deviation (NRMSD) for breathing signals with three different criteria are at most 0.03, 0.055 and 0.01, respectively. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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