Skip to main content
padlock icon - secure page this page is secure

A Novel Single Channel Blind Source Separation Based Improved Local Mean Decomposition

Buy Article:

$106.51 + tax (Refund Policy)

Single channel blind source separation is a challenging task in blind source separation. In this paper, an improved method was proposed to restrain the end effect in local mean decomposition (LMD) and combine it with independence component analysis (ICA) in single channel blind source separation. In this paper, first, the propose improved LMD is used to decompose the electroencephalogram (EEG) and the result show the improved LMD outperform original LMD. After that the improved LMD was used to decompose the single channel source and generated a series of data sequences which called product function (PF), then, ICA algorithm was used to process PFs to get similar independent components and recovery the original signals. A comparison was made between improved LMD_ICA and EEMD_ICA. The real-life example showed the advantage of the proposed single channel source separation method.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics


Document Type: Research Article

Publication date: August 1, 2013

More about this publication?
  • Bionanoscience attempts to harness various functions of biological macromolecules and integrate them with engineering for technological applications. It is based on a bottom-up approach and encompasses structural biology, biomacromolecular engineering, material science, and engineering, extending the horizon of material science. The journal aims at publication of (i) Letters (ii) Reviews (3) Concepts (4) Rapid communications (5) Research papers (6) Book reviews (7) Conference announcements in the interface between chemistry, physics, biology, material science, and technology. The use of biological macromolecules as sensors, biomaterials, information storage devices, biomolecular arrays, molecular machines is significantly increasing. The traditional disciplines of chemistry, physics, and biology are overlapping and coalescing with nanoscale science and technology. Currently research in this area is scattered in different journals and this journal seeks to bring them under a single umbrella to ensure highest quality peer-reviewed research for rapid dissemination in areas that are in the forefront of science and technology which is witnessing phenomenal and accelerated growth.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more