压力传感器阵列抖动消除与数据压缩算法

2020 IEEE 5th International Conference on Integrated Circuits and Microsystems (ICICM) Pub Date : 2020-10-23 DOI:10.1109/ICICM50929.2020.9292244

R. Li, Xueping Zou, Xu Liu, Deepu John

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引用次数: 0

摘要

提出了一种基于数据压缩的高精度传感器阵列数据处理算法。为了消除压力传感中的抖动，实现了加速鲁棒特征(SURF)、快速近似最近邻搜索库(FLANN)、随机样本一致性(RANSAC)、高斯滤波和运动补偿。并基于JPEG-LS和游程编码进行数据压缩。结果表明，该算法具有消除抖动和高压缩比的优点。

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A Jitter Elimination and Data Compression Algorithm for Pressure Sensor Array

This paper proposes an algorithm to process data of high-precision sensor array with data compression. To eliminate the jitter in pressure sensing, the Speeded-up Robust Features(SURF), Fast Approximate Nearest Neighbor Search Library(FLANN), RANdom SAmple Consensus(RANSAC), Gaussian filter and motion compensation are implemented. Moreover, data compression is conducted based on JPEG-LS and Run-length coding. As a result, the proposed algorithm achieves the jitter eliminating and high compression ratio.

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来源期刊

2020 IEEE 5th International Conference on Integrated Circuits and Microsystems (ICICM)

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