{"title":"IEEE Transactions on Circuits and Systems--II: Express Briefs Publication Information","authors":"","doi":"10.1109/TCSII.2024.3477191","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3477191","url":null,"abstract":"","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"71 11","pages":"C2-C2"},"PeriodicalIF":4.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10738009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Guest Editorial Special Issue on the 2024 ISICAS: A CAS Journal Track Symposium","authors":"Antonio Liscidini","doi":"10.1109/TCSII.2024.3467908","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3467908","url":null,"abstract":"","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"71 11","pages":"4607-4607"},"PeriodicalIF":4.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10738013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142540378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reachable Set Estimation of Inertial Complex-Valued Memristive Neural Networks","authors":"Jiemei Zhao;Yi Shen;Leimin Wang;Liqi Yu","doi":"10.1109/TCSII.2024.3486746","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3486746","url":null,"abstract":"This brief investigates the reachable set estimation (RSE) of inertial complex-valued memristive neural networks (ICVMNNs) with bounded disturbances. By taking into account the analysis method and inequality technique, an algebraic criterion of RES is established. To deal with the inertial terms in memristive neural networks, a nonreduced-order approach is adopted. Besides, the non-separation analysis method is applied to investigate complex-valued problems. Then, a complex-valued feedback control scheme is designed to ensure that the states of ICVMNNs converge to a bounded region. Eventually, a numerical example is provided to illustrate the effectiveness of the obtained theoretical result.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"213-217"},"PeriodicalIF":4.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Haonan Zhang;Siyu Zhang;Wendong Mao;Zhongfeng Wang
{"title":"An Efficient Brain-Inspired Accelerator Using a High-Accuracy Conversion Algorithm for Spiking Deformable CNN","authors":"Haonan Zhang;Siyu Zhang;Wendong Mao;Zhongfeng Wang","doi":"10.1109/TCSII.2024.3487266","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3487266","url":null,"abstract":"Spiking Neural Network (SNN), inspired by the brain, has shown promising potential in terms of low-power deployment on resource-constrained devices. The SNN can be obtained by two approaches: training from scratch or conversion from existing Artificial Neural Network (ANN). However, the directly training SNN often leads to suboptimal accuracy. Therefore, methods based on converting existing ANN have become the preferred choice for achieving high accuracy. To enhance the feature-capturing capability of the converted SNNs, various operations, such as transposed convolution and deformable convolution, have been introduced, which bring multiple challenges to conversion algorithms and hardware designs. In this brief, we propose a universal SNN conversion method for deformable convolution to enhance the modeling capability of receptive fields for spatial information. The proposed conversion algorithm not only maintains high accuracy but also makes converted deformable convolutions highly hardware-efficient. Building upon the deformable SNN, we develop a low-complexity processing element and computing array, enabling flexible execution of complex and heterogeneous operations within deformable SNNs without requiring any multipliers. In addition, the overall architecture with energy-efficient dataflow is designed for our deformable SNN model and is implemented in TSMC 28-nm HPC+ technology node. Experiments show that the proposed conversion algorithm suffers negligible accuracy degradation in the challenging object detection task. The accelerator achieves at least \u0000<inline-formula> <tex-math>$1.2times $ </tex-math></inline-formula>\u0000 higher energy efficiency compared to previous designs while maintaining 47.9% mAP.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"288-292"},"PeriodicalIF":4.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An X-Band 7-Bit High Resolution and Ultra-Low Amplitude Variations Phase Shifter With Current Correction Technique","authors":"Dongwei Pang;Jun Wang;Zongming Duan","doi":"10.1109/TCSII.2024.3486569","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3486569","url":null,"abstract":"In this brief, an X-band 7-bit digital-controlled vector-sum phase shifter (VSPS) with high resolution and ultra-low amplitude variations is presented. The 7-bit digital-to-analog converter (DAC) incorporating 2-bit quadrant control bits is employed to adjust the amplitude of In-phase/Quadrature (I/Q) signals, and synthesizing the desired phase, which achieves a minimum step control of 2.8125° within a full 360° range. Moreover, a current correction technique is proposed to address the challenges of degraded phase shifting accuracy caused by excessive phase stepping at quadrant intersections, as well as large amplitude variations due to the nonlinear change of transconductance with the square root of bias current. The VSPS, implemented in 130-nm CMOS technology, shows outstanding phase accuracy with the root mean square (rms) error of less than 0.93°, while the rms amplitude error is less than 0.16 dB over the frequency range of 8 to 12 GHz.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"88-92"},"PeriodicalIF":4.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chan-Ho Lee;Jeong-Hun Kim;Hyun-Woo Jeong;Hyeonho Park;Jeeyoung Shin;Junwon Jeong;Woong Choi;Sung-Wan Hong
{"title":"A 12-V Input 0.3 V-to-0.6 V Output Imbalanced Inductor-Currents Converter That Achieves a Peak Efficiency of 90.7%","authors":"Chan-Ho Lee;Jeong-Hun Kim;Hyun-Woo Jeong;Hyeonho Park;Jeeyoung Shin;Junwon Jeong;Woong Choi;Sung-Wan Hong","doi":"10.1109/TCSII.2024.3486362","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3486362","url":null,"abstract":"This brief proposed an imbalanced inductor-current buck (IIB) converter. The proposed IIB converter has two inductor current paths. The IIB converter provides majority of the load current through a current path composed of low voltage transistors and minority of the load current through the current path composed of high voltage transistors, which becomes further as voltage conversion ratio decreases. Therefore, the IIB converter reduces conduction loss as the voltage conversion ratio decreases, which is considerably important in low voltage applications. In addition, since this converter uses a flying capacitor network behind the inductor, it is invulnerable to the input voltage variation. The proposed converter has peak efficiencies of 90.7% at \u0000<inline-formula> <tex-math>${mathrm { V}}_{mathrm { IN}} {=} 12$ </tex-math></inline-formula>\u0000 V, \u0000<inline-formula> <tex-math>${mathrm { V}}_{mathrm { O}} {=} 0.6$ </tex-math></inline-formula>\u0000 V, and 85.6% at \u0000<inline-formula> <tex-math>${mathrm { V}}_{mathrm { IN}} {=} 12$ </tex-math></inline-formula>\u0000 V, \u0000<inline-formula> <tex-math>${mathrm { V}}_{mathrm { O}} {=} 0.3$ </tex-math></inline-formula>\u0000 V. The chip was fabricated in 130-nm BCD process with an area of 6.177 mm2.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"338-342"},"PeriodicalIF":4.0,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Area-Efficient CMOS Cross-Coupled LC-VCO Using Nested Intertwined Tail Inductors","authors":"Hyogyoung An;Hyeonjun Nam;Sungjin Kim;Younghyun Lim;Heein Yoon","doi":"10.1109/TCSII.2024.3485921","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3485921","url":null,"abstract":"An area-efficient CMOS cross-coupled LC-VCO, operating from 5.74 GHz to 8.02 GHz and featuring a tail noise filter with two tail inductors integrated inside the main inductor, is presented for the first time. The tail noise filter comprised two nested intertwined tail inductors (NITIs) and a tail capacitor bank, effectively suppressing phase noise (PN) while generating negligible magnetic couplings between the main inductor and the NITIs. The proposed architecture enables area-efficient CMOS cross-coupled design, even with the two NITIs, but has no performance degradation, i.e., it eliminates the additional area for the tail noise filter. Implemented in 28-nm CMOS process, it consumed 11 mA current from 0.73 V power supply. The LC-VCO achieved PN of −116.38 dBc/Hz at 1 MHz offset frequency for an output frequency of 5.747 GHz. 37% and 27% reductions in silicon area were achieved, over the conventional LC-VCO and an LC-VCO using intertwined tail inductors (ITIs), respectively, without compromising on performance. The proposed design has the smallest area among state-of-the-art LC-VCOs that include a tail noise filter along with competitive PN and frequency tuning range (FTR).","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"143-147"},"PeriodicalIF":4.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongjie Zeng;Zemeng Huang;Tao Tan;Yubing Li;Xiuping Li
{"title":"Parasitic-Aware Analysis and Design of a Wideband gm-Boost Low Noise Amplifier at K-Band","authors":"Hongjie Zeng;Zemeng Huang;Tao Tan;Yubing Li;Xiuping Li","doi":"10.1109/TCSII.2024.3485649","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3485649","url":null,"abstract":"This brief presents a wideband low noise amplifier (LNA) at K-band. A parasitic-aware analysis focused on gain is proposed in the transformer feedback \u0000<inline-formula> <tex-math>$g_{mathrm {m}}$ </tex-math></inline-formula>\u0000-boost common-gate (CG) stage. This analysis models parasitic components as grounded equivalents, decoupling the amplifier into active circuitry and passive components. It addresses the design challenges of wideband amplifiers with complex capacitive networks, offering a more accurate representation of the amplifier’s characteristics and providing valuable guidance for parasitic-sensitive designs. The designed amplifier consists of a gm-boost transformer feedback CG stage followed by a capacitor-neutralized common source (CS) stage. An adapted interstage matching network is developed to compensate for the unbalanced transimpedance, which contributes to a flat overall wideband gain with a low noise figure (NF). The input and output of the LNA are well-matched and the LNA achieves a maximum gain of 14.6 dB, 3-dB bandwidth of 9.5 GHz (19-28.5 GHz), a minimum NF of 2.3 dB, and an input 1-dB compression point (IP1dB) exceeding -10.3 dBm across 19-28.5 GHz. The proposed LNA is implemented in a 110-nm CMOS process, occupying a compact chip area of 0.258 mm2 and consuming 25.6 mW at a supply voltage of 1.2 V. To the best of our knowledge, this brief represents the first comprehensive, parasitic-aware gain analysis of the transformer feedback \u0000<inline-formula> <tex-math>$g_{mathrm {m}}$ </tex-math></inline-formula>\u0000-boost CG stage.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"138-142"},"PeriodicalIF":4.0,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A 59.6fsrms Jitter Sub-Sampling PLL With Foreground Open-Loop Gain Calibration","authors":"Yu-Chi Yen;Shen-Iuan Liu","doi":"10.1109/TCSII.2024.3485011","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3485011","url":null,"abstract":"A sub-sampling phase-locked loop (SSPLL) with foreground open-loop gain calibration is presented. By digitally adjusting the transconductance cell, the open-loop gain of the SSPLL is calibrated. This SSPLL is fabricated in 40 nm CMOS technology. Its active area is \u0000<inline-formula> <tex-math>$0.167~{mathrm { mm}}^{2}$ </tex-math></inline-formula>\u0000 and the power consumption is 14.08mW at 6.4 GHz for a supply of 1V. The root-mean-square (RMS) jitter is 59.6fs while the phase noise is integrated with the offset frequency from 1 kHz to 100MHz. The calculated figure of merit is −253dB. With the calibration, the maximal deviation of the loop bandwidth is reduced from −41.5% to −7.3% for the supply voltage of 0.9V~1.1V. The maximal deviation of the RMS jitter is reduced from 23.6% to 4.7%. For five chips, the maximal deviation of the loop bandwidth is reduced from −34.9% to 4% with calibration. And the maximal deviation of the RMS jitter is reduced from 10.9% to −3.4%.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"73-77"},"PeriodicalIF":4.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142880281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Source Number Estimation in 2D Uniform Circular and L-Shaped Arrays With Unknown Nonuniform Noise","authors":"Mengxia He;S. C. Chan","doi":"10.1109/TCSII.2024.3485468","DOIUrl":"https://doi.org/10.1109/TCSII.2024.3485468","url":null,"abstract":"Classical source number estimators are usually derived under the assumption of uniform white noise, which may degrade substantially with unknown nonuniform sensor noise. Advanced estimators designed for nonuniform noise are however computationally expensive with limited performance in unfavorable conditions, such as low signal-to-noise ratio, small number of snapshots, close angular separations and sources with different transmitter powers. This brief proposes a new likelihood ratio statistics-based method for source number estimation under uncorrelated nonuniform noise. Using the asymptotic theory, it is shown that the likelihood ratio follows a chi-square distribution. Hence, the number of sources can be estimated via a sequence of hypothesis tests using maximum likelihood estimators (MLEs) of the covariance matrix with different assumed source numbers. The low complexity subspace algorithm is proposed to obtain the ML estimates. Theoretical analysis demonstrates that the proposed estimator is consistent in the general asymptotic regime. Simulation results on 2D arrays such as uniform circular and L-shaped arrays show that the proposed estimator achieves a higher correct detection probability in unfavorable conditions and is more robust against nonuniformity of noise than state-of-the-art estimators.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 1","pages":"348-352"},"PeriodicalIF":4.0,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142890370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}