Energy-efficient configurable discrete wavelet transform for neural sensing applications

Tang Hsuan Wang, Po-Tsang Huang, Kuan-Neng Chen, Jin-Chern Chiou, Kuo Hua Chen, Chi Tsung Chiu, Ho Ming Tong, Ching Te Chuang, Wei Hwang

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, an energy-efficient configurable lifting-based discrete wavelet transform (DWT) is proposed for a high-density neural sensing microsystems to extract the features of neural signals by filtering the signals into different frequency bands. Based on the lifting-based DWT algorithm, the area and power consumption can be reduced by decreasing the computation circuits. Additionally, both the time window and mother wavelets can be adjusted via the configurable datapth. Moreover, the power-gating and clock-gating techniques are utilized to further reduce the energy consumption for the energy-limited bio-systems. The proposed configurable DWT is designed and implemented using TSMC 65nm CMOS low power process with total area of 0.11 mm2 and power consumption of 26 μW. Moreover, this proposed DWT is also implemented in Lattice MachXO2-1200 FPGA and integrated in a 2.5D heterogeneously integrated high-density neural-sensing microsystem with the power consumption of 211.2 μW.

原文English
主出版物標題2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1841-1844
頁數4
ISBN(列印)9781479934324
DOIs
出版狀態Published - 1 一月 2014
事件2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia
持續時間: 1 六月 20145 六月 2014

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
ISSN(列印)0271-4310

Conference

Conference2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
國家Australia
城市Melbourne, VIC
期間1/06/145/06/14

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