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A 65-nm CMOS Lossless Bio-Signal Compression Circuit With 250 FemtoJoule Performance Per Bit

机译:每位具有250 FemtoJoule性能的65nm CMOS无损生物信号压缩电路

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摘要

A 65nm CMOS integrated circuit implementation of a bio-physiological signal compression device is presented, reporting exceptionally low power, and extremely low silicon area cost, relative to state-of-the-art. A novel 'xor-log2-sub-band' data compression scheme is evaluated, achieving modest compression, but with very low resource cost. With the intent to design the simplest useful compression algorithm', the outcome is demonstrated to be very favourable where power must be saved by trading off compression effort against data storage capacity, or data transmission power, even where more complex algorithms can deliver higher compression ratios. A VLSI design and fabricated Integrated Circuit implementation are presented, and estimated performance gains and efficiency measures for various bio-medical use-cases are given. Power costs as low as 1.2 pJ per sample-bit are suggested for a 10kSa/s data-rate, whilst utilizing a power-gating scenario, and dropping to 250fJ/bit at continuous conversion data-rates of 5MSa/sec. This is achieved with a diminutive circuit area of 155um(2). Both power and area appear to be state-of-the-art in terms of compression versus resource cost, and this yields benefit for system optimization.
机译:提出了一种生物生理信号压缩设备的65nm CMOS集成电路实现方案,相对于最新技术,该报告的功率极低,硅面积成本极低。对一种新颖的“ xor-log2-sub-band”数据压缩方案进行了评估,实现了适度的压缩,但是资源成本非常低。旨在设计最简单的有用压缩算法,结果证明是非常有利的,在必须通过权衡压缩工作量和数据存储容量或数据传输功率来节省功率的情况下,即使在更复杂的算法可以提供更高压缩率的情况下,结果也是如此。提出了VLSI设计和制造的集成电路实现,并给出了各种生物医学用例的估计性能增益和效率度量。对于10kSa / s的数据速率,建议使用低至每个样本位1.2 pJ的功率成本,同时利用功率门控方案,并在5MSa / sec的连续转换数据速率下降至250fJ / bit。这是通过155um(2)的小型电路面积实现的。就压缩与资源成本而言,功率和面积似乎都是最先进的,这为系统优化带来了好处。

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