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2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)最新文献

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Design of a High Voltage Level Shift with High dV/dt Immunity and High Speed 高抗dV/dt抗扰度高速高压电平转换器的设计
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090318
Ze-kun Zhou, Zhijian Zhang, Lichen Peng
A sub-nanosecond-delay level shifter with an above 75V/ns power supply slew tolerance is proposed in this paper. In this design, two speed-up branches are adapted to realize a sub-ns delay and high CMTI immunity circuit is proposed to ensure high dv/dt tolerance. Besides, with the control of CMTI enhanced logic, speed-up branches are reused to enhance the dv/dt immunity for a better CMTI performance. And this structure can be expended to higher voltage range of application like 80V level shifter to tolerant the large range power supply slew. The proposed level shifter simulated with 0.18µm BCD process shows delay of 700ps and 30V/ns dv/dt immunity in the 35V high voltage application and can tolerant an 75V/ns dv/dt in 80V application.
本文提出了一种亚纳秒级延迟电平移位器,其电源摆幅容限在75V/ns以上。在本设计中,采用两个加速支路实现亚ns级延迟,并采用高CMTI抗扰电路保证高dv/dt容差。此外,在CMTI增强逻辑的控制下,加速支路复用,增强dv/dt抗扰度,从而获得更好的CMTI性能。该结构可扩展到更高电压范围的应用中,如80V电平移位器,以承受大范围的电源转换。采用0.18µm BCD工艺模拟的电平转换器在35V高压环境下具有700ps的延迟和30V/ns dv/dt抗扰度,在80V高压环境下具有75V/ns dv/dt抗扰度。
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引用次数: 0
Reduction of Motion Artifact in PPG signal with CDS-LMS Filter 用CDS-LMS滤波降低PPG信号中的运动伪影
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090402
Woobean Lee, Pangi Park, Seonghwan Cho
This paper presents correlated double sampling least mean squares (CDS-LMS) filter to reduce the motion artifacts of the PPG signal. By using red and green PPG signals as the inputs of the LMS filter, the motion artifacts with the same frequency component as PPG signals can be removed without losing information in PPG. Also, CDS is employed before the LMS filter to remove the effect of ambient light offset. With the proposed CDS-LMS filter, the RMS error in heart-beat interval is reduced by 86.49%, 87.54%, and 89.09% compared to a conventional bandpass filter when the PPG signal is measured during squatting, walking, and running. The mean absolute error in heart rate is 2.59 beats per minute while running.
本文提出了一种相关双采样最小均方(CDS-LMS)滤波器,以减小PPG信号的运动伪影。通过使用红色和绿色的PPG信号作为LMS滤波器的输入,可以去除与PPG信号具有相同频率成分的运动伪影,而不会丢失PPG中的信息。此外,在LMS滤波器之前使用CDS来消除环境光偏移的影响。采用所提出的CDS-LMS滤波器,在深蹲、行走和跑步时测量PPG信号时,心跳间隔的均方根误差比传统带通滤波器分别降低了86.49%、87.54%和89.09%。跑步时心率的平均绝对误差为每分钟2.59次。
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引用次数: 0
An Eigen-decomposition Free Method for Computing Graph Fourier Transform Centrality 计算图傅里叶变换中心性的无特征分解方法
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090355
C. Tseng, Su-Ling Lee
In this paper, an eigen-decomposition free method is presented to compute the graph Fourier transform centrality (GFTC) of complex network. For conventional computation method of GFTC, it needs to compute eigen-decomposition of graph Laplacian matrix for obtaining the transform basis of graph Fourier transform (GFT), which may not be computable for larger networks. To tackle this problem, the graph filtering method is applied to transform the spectral-domain GFTC computation task to vertex-domain one such that GFTC can be computed by using graph filter which is easily designed by the least squares (LS) method. Finally, the centrality computations of the Taipei metro network and karate-club social network are used to show the effectiveness of the proposed GFTC computation method.
本文提出了一种计算复杂网络图傅里叶变换中心性的无特征分解方法。传统的GFTC计算方法需要计算图拉普拉斯矩阵的特征分解来获得图傅里叶变换(GFT)的变换基,这对于较大的网络可能无法计算。为了解决这一问题,采用图滤波方法将谱域GFTC的计算任务转换为顶点域的计算任务,使GFTC的计算可以利用图滤波器进行,而图滤波器易于用最小二乘(LS)方法设计。最后,以台北市地铁网络与空手道俱乐部社交网络的中心性计算,验证本文所提出的GFTC计算方法的有效性。
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引用次数: 0
A 16-Bit 2 MS/s Cyclic-pipelined ADC with Calibration for Inter-stage Amplification 一个16位2ms /s周期流水线ADC,具有级间放大校准功能
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090403
Jing Ma, Yanjin Lyu, Yuanqi Hu
The inaccuracy of residue amplification has become the major bottleneck when it comes to design pipelined analogue-to-digital converters (ADCs). High-gain and high-speed operational amplifiers (Op-Amps) usually consume too much power for a decent ADC. Therefore, we proposed a foreground calibration technique, which can correct amplification errors in cyclic-pipelined ADCs and consequently alleviate the DC gain requirement for internal amplifiers. The proposed calibration scheme is implemented in an area-efficient 16-bit, 2 MS/s cyclic-pipelined ADC, fabricated in 180 nm CMOS technology. The ADC is designed and realized by cycling a 5-bit sub-ADC four times, and each time 1-bit redundancy is exploited to suppress the errors due to sub-ADCs. Actual gain of each amplification can be feasibly calculated by the Fix-Point Iteration algorithm. Simulation results show the signal-to-noise-and-distortion-ratio (SINAD) to be 100.6 dB even with a 57dB-DC-Gain amplifier. The total power consumption of ADC is 30.43 mW and it occupies an active area of 1.8 mm square.
残差放大的不准确性已成为设计流水线模数转换器(adc)的主要瓶颈。对于一个像样的ADC来说,高增益和高速运算放大器通常会消耗太多的功率。因此,我们提出了一种前景校准技术,该技术可以纠正循环流水线adc的放大误差,从而减轻内部放大器的直流增益要求。所提出的校准方案是在一个面积高效的16位,2ms /s周期流水线ADC中实现的,该ADC采用180nm CMOS技术制造。该ADC的设计和实现是通过5位子ADC循环4次,每次利用1位冗余来抑制由子ADC引起的误差。采用定点迭代算法,可以计算出各放大器的实际增益。仿真结果表明,即使使用57db - dc增益放大器,信噪比(SINAD)仍为100.6 dB。ADC的总功耗为30.43 mW,有效面积为1.8 mm平方。
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引用次数: 0
Store, Supply, Extract and Recycle: A Boost/Buck Reconfigurable Converter for Thermal Energy Harvesting 储存,供应,提取和回收:用于热能收集的升压/降压可重构转换器
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090278
Mengli Zou, Xinzi Xu, Qiao Cai, Yanxing Suo, T. Wan, Jian Zhao, Yang Zhao
The extracted energy of the thermal energy harvester circuits are affected by the input and output power status. A boost and buck reconfigurable harvester circuits with store, supply, extract and recycle modes are proposed in this paper to harvest the power from TEG at any possible chances. In addition, maximum power point tracking and zero current switching are also customized for the reconfigurability. Moreover, Colpitts oscillator and Dickson charge pump based startup circuit are adopted for millivolts startup. Simulation shows that the proposed design shows end-to-end conversion efficiency of 86% in conventional boost configuration as well as 75.3% in buck configuration with minimum startup voltage of 7mV. In extract mode, up to 27% total power can be harvested from TEG even configured as buck converter.
热能采集器电路提取的能量受输入输出功率状态的影响。本文提出了一种具有存储、供应、提取和回收模式的升压和降压可重构收割机电路,以在任何可能的机会从TEG中收集功率。此外,还定制了最大功率点跟踪和零电流开关,具有可重构性。此外,毫伏启动采用了基于Colpitts振荡器和Dickson电荷泵的启动电路。仿真结果表明,在最小启动电压为7mV的情况下,传统升压配置端到端转换效率为86%,降压配置端到端转换效率为75.3%。在提取模式下,即使配置为降压转换器,也可以从TEG获取高达27%的总功率。
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引用次数: 0
An Ultra-Low-Supply Output-Capacitorless LDO with Signal- and Transient-Enhancement 具有信号和瞬态增强的超低电源输出无电容LDO
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090352
Yajun Lin, Haozheng Wan, Jianxin Yang, K. Leung
An ultra-low-supply output-capacitorless (OCL) low-dropout regulator is presented in this paper. The circuit is based on flipped-voltage-follower-based (FVF-based) LDO with a signal-current enhancer (SCE) and a direct voltage-spike detection part. To enable the LDO to function properly under an ultra-low supply voltage, an additional charge-pump circuit provides a higher supply to the control part of LDO to enlarge the control swing of power transistor. The proposed LDO regulator is designed in UMC 65-nm CMOS process. The threshold voltages of NMOSFET and PMOSFET are 0.374 V and −0.311 V, respectively. The achieved minimum supply voltage is 0.6 V, with output voltage of 0.5 V. The load current ranges between 100 μA and 50 mA. The figure-of-merit of proposed circuit is 0.43 ps.
提出了一种超低电源输出无电容(OCL)低差稳压器。该电路基于基于翻转电压跟随器(fvf)的LDO,带有信号电流增强器(SCE)和直接电压尖峰检测部分。为了使LDO在超低电源电压下正常工作,在LDO的控制部分增加了一个电荷泵电路,以增大功率晶体管的控制摆幅。LDO稳压器采用联华电子65nm CMOS工艺设计。NMOSFET和PMOSFET的阈值电压分别为0.374 V和- 0.311 V。实现的最小电源电压为0.6 V,输出电压为0.5 V。负载电流范围为100 μA ~ 50 mA。该电路的优值为0.43 ps。
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引用次数: 0
Design-Technology Co-optimization for Cryogenic Tensor Processing Unit 低温张量处理装置设计-技术协同优化
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090326
D. Kang, Shimeng Yu
The cryogenic silicon complementary-metal-oxide-semiconductor (CMOS) technology and its application in tensor processing unit (TPU) design are explored. Using the 22 nm fully-depleted-silicon-on-insulator (FDSOI) transistor model that was calibrated at 70 K, this study provides insights into the design/technological knobs to achieve a superior performance at cryogenic temperature (cryo-TPU) by exploiting threshold voltage (Vth) engineering, gain-cell embedded DRAM (GC-eDRAM) and true-single phase clock (TSPC) D flip-flop. Benchmark shows that cryo-TPU using GC-eDRAM based global buffer and TSPC D flip-flop based register surpasses conventional TPU architecture operating at the room temperature: over 33% chip area reduction in iso-power condition, over 94% power reduction in iso-area condition and over 40% power reduction even when the refrigerator cooling power is included.
探讨了低温硅互补金属氧化物半导体(CMOS)技术及其在张量处理单元(TPU)设计中的应用。本研究使用在70 K下校准的22 nm全耗尽绝缘体上硅(FDSOI)晶体管模型,通过利用阈值电压(Vth)工程、增益单元嵌入式DRAM (GC-eDRAM)和真单相时钟(TSPC) D触发器,提供了设计/技术方面的洞见,以实现在低温(cro - tpu)下的卓越性能。基准测试表明,使用基于GC-eDRAM的全局缓冲器和基于TSPC D触发器的寄存器的低温TPU优于在室温下工作的传统TPU架构:在等功耗条件下,芯片面积减少33%以上,在等功耗条件下,功耗降低94%以上,即使包括冰箱冷却功率,功耗也降低40%以上。
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引用次数: 2
Deep Texture-Depth-Based Attention for Face Recognition on IoT Devices 基于深度纹理-深度的物联网设备人脸识别关注
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090364
Yuxin Lin, Wenye Liu, Chip-Hong Chang
Traditional face recognition systems use RGB images as input for feature extraction and classification. However, conventional methods based on color images experience non-trivial accuracy drop under several challenging conditions like occlusion, pose variation and facial expression changes. With the gradually decreasing cost of smart sensors, RGB-Depth(D) images captured using low-cost sensors are used to provide complementary features to RGB images. Both the extracted Local Binary Pattern (LBP) features and depth map contain additional discriminative information that can guide the face recognition model to focus on the important parts of the input image. In this paper, we propose a novel end-to-end network that combines both texture and depth features for automatic attention-based face recognition. The experiment results demonstrate that the proposed method has improved recognition accuracy under diverse variations. Our proposed face recognition model has been implemented on the NVIDIA Jetson Nano device to evaluate its performance with compact feature extractors used on different branches of the model. The results show that our method can improve the FPS of face recognition on an edge-coming device from 1.6 to 3.8 with <1% accuracy degradation.
传统的人脸识别系统使用RGB图像作为输入进行特征提取和分类。然而,传统的基于彩色图像的方法在一些具有挑战性的条件下,如遮挡、姿势变化和面部表情变化,精度会下降。随着智能传感器成本的逐渐降低,使用低成本传感器捕获的RGB- depth (D)图像被用于为RGB图像提供补充特征。提取的局部二值模式(LBP)特征和深度图都包含额外的判别信息,可以引导人脸识别模型关注输入图像的重要部分。在本文中,我们提出了一种结合纹理和深度特征的端到端网络,用于基于注意力的自动人脸识别。实验结果表明,该方法在多种变化条件下均能提高识别精度。我们提出的人脸识别模型已在NVIDIA Jetson Nano设备上实现,并在模型的不同分支上使用紧凑的特征提取器来评估其性能。结果表明,该方法可以将边缘设备上人脸识别的FPS从1.6提高到3.8,精度下降<1%。
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引用次数: 0
Optically Reconfigurable Gate Array VLSI That Can Support a Perfect Parallel Configuration 可支持完美并行配置的光可重构门阵列VLSI
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090314
Sae Goto, Minoru Watanabe, Nobuya Watanabe
Very large scale integrations (VLSIs) used in high radiation environments such as outer space and nuclear power plants are constantly affected by radiation. Since VLSIs are vulnerable to radiation, existing VLSIs have an inherent difficulty that temporary or permanent failures occur in high-radiation environments. In order to improve the radiation tolerance of current VLSIs, optically reconfigurable gate arrays consisting of a holographic memory, a laser array, and a programmable gate array VLSI using a standard CMOS process technology have been being developed. The radiation tolerance of the optically reconfigurable gate array has drastically been improved by exploiting its programmable capability based on a configuration function strong for radiation. However, the configuration circuit still includes common signals that decrease the radiation tolerance. This paper present a proposal of a new optically reconfigurable gate array VLSI that perfectly removes the common signals and its experimental results obtained from testing it.
超大规模集成电路(vlsi)应用于外太空和核电站等高辐射环境中,经常受到辐射的影响。由于超大规模集成电路易受辐射影响,现有的超大规模集成电路在高辐射环境中存在暂时或永久失效的固有困难。为了提高当前VLSI的辐射容限,采用标准CMOS工艺技术,开发了由全息存储器、激光阵列和可编程门阵列组成的光可重构门阵列VLSI。光可重构门阵列通过利用其基于强辐射组态函数的可编程能力,大大提高了光可重构门阵列的辐射容限。然而,配置电路仍然包含降低辐射容限的公共信号。本文提出了一种新型光可重构门阵列VLSI的设计方案,并给出了测试结果。
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引用次数: 0
0.7-6 GHz Programable Gain Push-Pull Driver PA Based on Dual-Loop Biases 基于双环偏置的0.7-6 GHz可编程增益推挽驱动器PA
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090259
Minghao Jiang, Chenyang Han, Weibo Li, Jiangfeng Wu, Yongzhen Chen
A 28 nm 0.7-6 GHz programable push-pull driver power amplifier (DPA) based on dual-loop biases for Sub-6 GHz band is presented. Based on the dual-loop biases, the DPA can dynamically adjust two gate biases to ensure low output HD2 and HD3, in addition the DPA is robust over process, voltage, and temperature (PVT) variations. The DPA achieves wideband frequency coverage with off-chip matching network. The DPA consists of thermometer-weight transconductors and binary-weighted transconductors. The transmitter prototype with the DPA achieves 32 dB dynamic gain range, 0.5 dB accuracy in 1 dB step over the Sub-6 GHz band. Fabricated in 28 nm CMOS technology, the DPA shows 30.5 dBm OIP3 while consuming 62 mA from 1.8 V power supply for high gain setting.
提出了一种用于Sub-6 GHz频段的基于双回路偏置的28nm可编程推挽驱动功率放大器(DPA)。基于双回路偏置,DPA可以动态调节两个门偏置,以确保低输出HD2和HD3,此外,DPA对工艺,电压和温度(PVT)变化具有鲁棒性。DPA通过片外匹配网络实现宽带频率覆盖。DPA由温度计称重式和二元称重式电感组成。采用DPA的发射机样机在Sub-6 GHz频段上实现了32 dB动态增益范围和0.5 dB步进精度。DPA采用28纳米CMOS技术制造,OIP3为30.5 dBm,功耗为62 mA,来自1.8 V电源,用于高增益设置。
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引用次数: 0
期刊
2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
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