Accuracy-Complexity Trade-Off for the Signal Reconstruction of Multifunctional Sensors

Abstract:

The on-chip signal reconstruction method based on B-spline approximation and Extended Kalman Filter (EKF) for multifunctional sensors has been studied previously. In this paper, we focus on the design for reducing the complexity of the reconstruction method without significant loss of reconstruction accuracy. The two-objective optimization design framework is proposed, where the reconstruction accuracy and complexity are considering as two conflicting costs to be decreased jointly. Genetic Algorithm (GA) is presented to achieve the accuracy-complexity trade-off by optimizing the B-spline structure parameters, i.e. the dimensions of knot vectors. The experimental results show that the proposed method provides a good improvement to the B-spline and EKF based on-chip signal reconstruction method.

• Periodical: Advanced Materials Research (Volumes 706-708)
• Pages: 618-622
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.706-708.618
• Online since: June 2013
• Authors: Xian Guang Fan, Xin Wang, Jing Lin Wu, Yong Zuo
• Keywords: Accuracy, GA, Multiplication Number, Signal Reconstruction, Trade-off

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