Skip to main content
Log in

Single-channel blind separation of overlapped multicomponents based on energy operator

  • Research Papers
  • Published:
Science in China Series F: Information Sciences Aims and scope Submit manuscript

Abstract

A method utilizing single channel recordings to blind separate the multicomponents overlapped in both time and frequency domains is proposed in this paper. The main idea of the method is based on using the energy operator and differential energy operator to estimate instantaneous frequencies and amplitudes of each component and then to reconstruct these components. This method, due to the good time resolution of the energy operator and differential energy operator, as well as the very low computational complexity, is very useful in real time processing and practical applications. Simulation results demonstrated the efficiency of this method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Li T, Sidiropoulos N D. Blind digital signal separation using successive interference cancellation iterative least squares. IEEE Trans Signal Process, 2000, 48: 3146–3152

    Article  Google Scholar 

  2. Barbarossa S, Scaglione A, Giannakis G B. Product high-order ambiguity function for multicomponent polynomial-phase signal modeling. IEEE Trans Signal Process, 1998, 46: 691–708

    Article  Google Scholar 

  3. Barbarossa S, Petrone V. Analysis of polynomial-phase signals by the integrated generalized ambiguity function. IEEE Trans Signal Process, 1997, 45: 316–327

    Article  Google Scholar 

  4. Victor S. A separable kernel filter design procedure for signal time-frequency analysis. Proc CNSDSP’2008, 2008, 1: 234–238

    Google Scholar 

  5. Yannis K, Steve M. Investigation and performance enhancement of the empirical mode decomposition method based on a heuristic search optimization approach. IEEE Trans Signal Process, 2008, 56: 1–13

    Article  MathSciNet  Google Scholar 

  6. Teager H. Some observations on oral air flow during phonation. IEEE Trans Signal Process, 1980, 28: 599

    Article  Google Scholar 

  7. Kaiser J F. On a simple algorithm to calculate the energy of a signal. Proc ICASSP’90, 1990, 1: 381–384

    Google Scholar 

  8. Maragos P, Kaiser J F, Quatieri T F. Energy separation in signal modulations with application to speech analysis. IEEE Trans Signal Process, 1993, 41: 3024–3051

    Article  MATH  Google Scholar 

  9. Kumaresan R, Sadasiv A G, Ramalingam C S, et al. Instantaneous non-linear operators for tracking multicomponent signal parameters. In: Proc SSAP’92 Standford, CA: IEEE Operation Center, Piscataway, NJ 08855, 1992, 404–407

  10. Maragos P, Potamianos A. Higher order differential energy operators. IEEE Signal Process Lett, 1995, 2: 152–154

    Article  Google Scholar 

  11. Santhanam B, Maragos P. Multicomponent AM-FM demodulation via periodicity based algebraic separation and energy-based demodulation. IEEE Trans Commun, 2000, 48: 473–490

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to QuanWei Cai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cai, Q., Wei, P. & Xiao, X. Single-channel blind separation of overlapped multicomponents based on energy operator. Sci. China Ser. F-Inf. Sci. 53, 147–157 (2010). https://doi.org/10.1007/s11432-010-0007-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-010-0007-y

Keywords

Navigation