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Model-Based Localization Method by Non-speech Sound Via Wavelet Transform and Dynamic Neural Network

  • Albert Marzàbal
  • Antoni Grau
  • Yolanda Bolea
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4225)

Abstract

Non-speech sound processing is of great interest for indoor mobile robot localization. This paper presents a technique based on feature extraction from continuous wavelet transform (CWT) and a dynamic feed-forward neural network that will approximate the position of the robot in the spatial domain. The link between the function approximation stage (ANN) and the feature extraction stage (CWT) is performed by feature comparative analysis.

Keywords

Sound Source Laser Weld Mother Wavelet Continuous Wavelet Transform Continuous Wavelet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Albert Marzàbal
    • 1
  • Antoni Grau
    • 1
  • Yolanda Bolea
    • 1
  1. 1.Automatic Control DeptTechnical University of Catalonia UPCBarcelonaSpain

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