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| Publications [#338975] of Lawrence Carin
Papers Published
- Dong, Y; Carin, L, Quantization of Multiaspect Scattering Data: Target Classification and Pose Estimation,
IEEE Transactions on Signal Processing, vol. 51 no. 12
(December, 2003),
pp. 3105-3114, Institute of Electrical and Electronics Engineers (IEEE) [TSP.2003.818998], [doi]
(last updated on 2024/12/31)
Abstract: In many sensing scenarios, the observed scattered waveforms must be quantized for subsequent transmission over a communication channel. Rate-distortion theory plays an important role in defining the bit rate required to achieve a desired distortion. The distortion is typically defined in the context of signal reconstruction, with the goal of achieving high-fidelity synthesis of the compressed data. For sensing applications, however, the objective is often not simply signal reconstruction but classification performance as well. Other related metrics include target-pose estimation. In this paper, we consider multiaspect wave scattering, in which classification and pose estimation are performed based on the quantized scattering data. Moreover, rate-distortion theory is employed to place bounds on pose-estimation performance when both the target identity and pose are unknown a priori. It is demonstrated that block-coding with Bayes-VQ may yield performance approaching the bound. Example results are presented for measured acoustic waveforms scattered from underwater elastic targets.
Keywords: Data communication systems;Signal distortion;Signal reconstruction;Data compression;State estimation;Acoustic wave scattering;Signal encoding;Waveform analysis;Vector quantization;Markov processes;
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