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Distributed Multiscale Data Analysis and Processing for Sensor Networks

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Title: Distributed Multiscale Data Analysis and Processing for Sensor Networks
Author: Wagner, Raymond; Sarvotham, Shriram; Choi, Hyeokho; Baraniuk, Richard G.
Type: Tech Report
Keywords: distributed wavelet transform; irregular wavelet transform; sensor network; distributed compression
Citation: R. Wagner, S. Sarvotham, H. Choi and R. G. Baraniuk, "Distributed Multiscale Data Analysis and Processing for Sensor Networks," Rice University ECE Technical Report, 2005.
Abstract: While multiresolution data analysis, processing, and compression hold considerable promise for sensor network applications, progress has been confounded by two factors. First, typical sensor data are irregularly spaced, which is incompatible with standard wavelet techniques. Second, the communication overhead of multiscale algorithms can become prohibitive. In this paper, we take a first step in addressing both shortcomings by introducing two new distributed multiresolution transforms. Our irregularly sampled Haar wavelet pyramid and telescoping Haar orthonormal wavelet basis provide efficient piecewise-constant approximations of sensor data. We illustrate with examples from distributed data compression and in-network wavelet de-noising.
Date Published: 2005-02-01

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  • ECE Publications [1032 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.