Hardware implementation of local mean decomposition

Pei Yin Chen, Yen Chen Lai, Ping Hsuan Lai

Research output: Contribution to journalArticlepeer-review

Abstract

Local mean decomposition (LMD) is an effective signal analysis method for analyzing nonlinear and nonstationary signals. LMD has been usefully applied in a wide variety of applications. However, achieving real-time LMD calculations in software is difficult. In this paper, a flexible, low-cost, and high-performance hardware architecture for LMD is proposed that satisfies the real-time requirements of various LMD applications. All proposed circuits were developed using Verilog and then synthesized using the Synopsys Design Compiler with the Taiwan Semiconductor Manufacturing Company 0.18-μm cell library. With the help of parameterization, the proposed LMD circuit can easily be used for various applications and hardware architectures.

Original languageEnglish
Pages (from-to)51-62
Number of pages12
JournalJournal of Information Science and Engineering
Volume33
Issue number1
DOIs
Publication statusPublished - 2017 Jan

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'Hardware implementation of local mean decomposition'. Together they form a unique fingerprint.

Cite this