2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)最新文献_第10页

Power Optimization of Arduino-Based Sensor System for Salton Sea Environmental Monitoring 基于arduino的索尔顿海环境监测传感器系统的功耗优化

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8884880

Kristian Diaz, Y. Teh

引用次数: 2

Remote FPGA Lab For ZYNQ and Virtex-7 Kits 用于ZYNQ和Virtex-7套件的远程FPGA实验室

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885064

A. Mohsen, Mohamed Youssef GadAlrab, Zeina elhaya Mahmoud, Gameel Alshaer, M. Asy, H. Mostafa

引用次数: 10

On Sensitivity of Bias Operation Point In Transistors with Moderate Inversion 中等反转晶体管偏置工作点灵敏度的研究

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885047

I. Filanovsky, L. Oliveira

引用次数: 1

A 5.4 Gbps Protocol Based CMOS Limiting ReDriver for Type-C Applications 基于5.4 Gbps协议的c型CMOS限制重驱动

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885381

S. Delshadpour, C. Speelman

引用次数: 3

Imbalanced High-Current Multi-Phase Buck Converters for High-Performance CPUs 用于高性能cpu的不平衡大电流多相降压转换器

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885141

Manmeet Singh, A. Fayed

{"title":"Imbalanced High-Current Multi-Phase Buck Converters for High-Performance CPUs","authors":"Manmeet Singh, A. Fayed","doi":"10.1109/MWSCAS.2019.8885141","DOIUrl":"https://doi.org/10.1109/MWSCAS.2019.8885141","url":null,"abstract":"High-performance CPUs require buck converters with high-current ratings (4-12 A), fast dynamic response, and high efficiency across a wide load range. The most common approach for realizing such buck converters is the conventional multi-phase topology with phase-shedding, where all the active phases are identical in terms of the inductor, the switching frequency, and the share of the total load current, i.e. balanced phases. Instead, this paper proposes using a different inductor, switching frequency, and share of the total load current for each individual phase, i.e. imbalanced phases. This approach provides additional degrees of freedom by the independent choice of the inductor and the switching frequency of each phase, which enables higher maximum load current rating and higher efficiency across the entire load current range compared to conventional balanced multi-phase designs. To demonstrate the viability and the advantages of imbalanced multi-phase buck converters in high-current application, a 12-A 4-phase design in 0.13-µm CMOS for high-performance CPUs is presented and compared to three conventional balanced reference designs in the same process technology.","PeriodicalId":287815,"journal":{"name":"2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130598484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A new and Reliable Decision Tree Based Small-Signal Behavioral Modeling of GaN HEMT 基于决策树的GaN HEMT小信号行为建模

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885334

A. Khusro, M. Hashmi, A. Q. Ansari, Medet Auyenur

引用次数: 9

Memristor-Based AES Key Generation for Low Power IoT Hardware Security Modules 基于忆阻器的低功耗物联网硬件安全模块AES密钥生成

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885031

Hanan Rady, H. Hossam, M.Sameh Saied, H. Mostafa

引用次数: 5

Design of A 52.5 dB Neural Amplifier with Noise-Power Trade-off 噪声功率权衡的52.5 dB神经放大器设计

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885224

N. Tasneem, I. Mahbub

{"title":"Design of A 52.5 dB Neural Amplifier with Noise-Power Trade-off","authors":"N. Tasneem, I. Mahbub","doi":"10.1109/MWSCAS.2019.8885224","DOIUrl":"https://doi.org/10.1109/MWSCAS.2019.8885224","url":null,"abstract":"An accelerating interest in neuromodulation and brain-machine interfacing has resulted in the development of multi-channel neural signal recording systems over the past few decades. A critical part of the acquisition system is the analog front-end, which includes the neural amplifier with low-power and low-noise configuration in the sub-Hz operating frequency. This paper presents a neural signal recording amplifier that is capable of amplifying signals in the sub-Hz to kHz frequency range. The amplifier is designed in standard 0.5 µm CMOS process with a fully-differential architecture. The proposed operational transconductance amplifier (OTA) uses two-stage topology and a capacitive-resistive feedback technique to have the lower and the higher cut-off frequency as 0.125 Hz and 1.258 kHz respectively to record the low-frequency neural signals. It achieves a common-mode rejection ratio (CMRR) of 97.1 dB, a power supply rejection ratio (PSRR) of 84.4 dB. The amplifier achieves a mid-band gain of 52.53 dB with the total power consumption of 4.12 µW with a supply voltage of 3.3 V by making the transistors operate in the sub-threshold region. The amplifier is designed taking into account the noise-power trade-off, and the input-referred noise of the amplifier is found to be 3.16 µVrms over a bandwidth of 0.1 Hz- 5 kHz. The prototype single channel amplifier has an active die area of 0.28 mm2. The overall performance metrics of gain, power consumption and the noise performance of the proposed amplifier make it a good choice for neural signal recording applications.","PeriodicalId":287815,"journal":{"name":"2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123447571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Empirical Analysis of Fixed Point Precision Quantization of CNNs cnn定点精度量化的实证分析

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885263

Anaam Ansari, T. Ogunfunmi

{"title":"Empirical Analysis of Fixed Point Precision Quantization of CNNs","authors":"Anaam Ansari, T. Ogunfunmi","doi":"10.1109/MWSCAS.2019.8885263","DOIUrl":"https://doi.org/10.1109/MWSCAS.2019.8885263","url":null,"abstract":"Image classification, speech processing, autonomous driving, and medical diagnosis have made Convolutional Neural Networks (CNN) mainstream. Due to their success, many deep networks have been developed such as AlexNet, VGGNet, GoogleNet, ResidualNet [1]–[4],etc. Implementing these deep and complex networks in hardware is a challenge. There have been many hardware and algorithmic solutions to improve the throughput, latency and accuracy. Compression and optimization techniques help reduce the size of the model while maintaining the accuracy. Traditionally, quantization of weights and inputs are used to reduce the memory transfer and power consumption. Quantizing the outputs of layers can be a challenge since the output of each layer changes with the input. In this paper, we use quantization on the output of each layer for AlexNet and VGGNET16 sequentially to analyze the effect it has on accuracy. We use Signal to Quantization Noise Ratio (SQNR) to empirically determine the integer length (IL) as well as the fractional length (FL) for the fixed point precision. Based on our observations, we can report that accuracy is sensitive to fractional length as well as integer length. For AlexNet we observe deterioration in accuracy as the word length decreases. The results are similar in the case of VGGNET16.","PeriodicalId":287815,"journal":{"name":"2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"27 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123492868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Highly Efficient Broadband mm-Wave 24-32.5 GHz SiGe PA for Potential 5G Applications 面向潜在5G应用的高效宽带毫米波24-32.5 GHz SiGe PA

2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) Pub Date : 2019-08-01 DOI: 10.1109/MWSCAS.2019.8885209

J. Tsay, J. Mayeda, Jerry Lopez, D. Lie

引用次数: 4