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面向心电信号的低功耗压缩感知电路设计
资料介绍
基于压缩感知理论,设计了一种用于心电信号的低功耗压缩感知电路。利用心电信号的周期性,通过预先计算压缩处理过程中产生的最大数据,确定了压缩电路中累加器的位数,避免了使用多余的寄存器,有效降低了电路的功耗并提高了数据的压缩比。使用贝叶斯学习算法进行重构验证。结果表明：压缩感知电路的逻辑门数由42 071减少到了25 029,功耗由11.247μW降低到了6.847μW,较优化前减少了39.12%;重构信号的均方根误差百分比达到了1.14%。
A low power consumption compressed sensing circuit for electrocardiogram（ ECG） signals is designed based on compressed sensing（ CS） theory. Making use of the periodicity of ECG signals,the bits of accumulator is determined by precalculating and compressed processing the maximum value of data in advance,avoid using redundant registers in the circuit,thus the power consumption is reduced effectively and data compression ratio is improved. Reconstruction verification is carried out by using the Bayesian learning algorithm. Verification results show that the logic gate number of CS circuit decreases from 42 071 gates to 25 029 ones and the power consumption is lowered from 11. 247 μW to 6. 847 μW,achieving a power reduction...
部分文件列表
| 文件名 | 大小 |
| 面向心电信号的低功耗压缩感知电路设计.pdf | 281K |
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