IEEE Transactions on Signal and Power Integrity最新文献_第3页

The Sensitivity to Common/Differential/Pseudodifferential Mode Noise: ENRZ Versus NRZ 共/差分/伪差分模式噪声的灵敏度：ENRZ与NRZ

IEEE Transactions on Signal and Power Integrity Pub Date : 2026-01-01 Epub Date: 2026-03-11 DOI: 10.1109/TSIPI.2026.3670733

Sherman Shan Chen;Zhifei Xu;Jay Li;Siping Gao;Francesco de Paulis

{"title":"The Sensitivity to Common/Differential/Pseudodifferential Mode Noise: ENRZ Versus NRZ","authors":"Sherman Shan Chen;Zhifei Xu;Jay Li;Siping Gao;Francesco de Paulis","doi":"10.1109/TSIPI.2026.3670733","DOIUrl":"https://doi.org/10.1109/TSIPI.2026.3670733","url":null,"abstract":"Ensemble nonreturn-to-zero (ENRZ) signaling exhibits remarkable performance advantages in long-reach high-speed serial links due to its well-balanced Nyquist frequency, amplitude, and interwire coupling properties. This work investigates the noise performance of ENRZ compared to conventional nonreturn-to-zero (NRZ) signaling under six representative noise modes: three fundamental noise modes for both signaling—common mode (CM), differential mode (DM), and pseudodifferential mode (PDM), and three derivative four-wire noise modes specific to ENRZ. Performance is evaluated under three scenarios of increasing complexity: lossless channels with deterministicDC/AC level shifts, lossless channels with random AC noise, and lossy channels with random AC noise. Analysis reveals that effective signal swings remain constant regardless of noise type for both modulations; however, ENRZ experiences larger level shifts under DM/PDM noise in scenario 1, which can be eliminated through AC coupling. In scenarios 2 and 3, where random noise exists in both, 224 Gbps per-chord ENRZ outperforms 112 Gbps per-pair NRZ while ENRZ exhibits less degradation and comparable degradation as channel mode conversion increases. In addition to presenting the CM/DM/PDM noise analyses on ENRZ for the first time, we also highlight the incorrectness of the prevalent misconception that DM noise directly affects the differential output. Furthermore, the optimal position of the AC coupling capacitors in a channel is proposed from the CM noise removal perspective. This article concludes with practical design guidelines for maximizing ENRZ’s resilience against multiple noise scenarios","PeriodicalId":100646,"journal":{"name":"IEEE Transactions on Signal and Power Integrity","volume":"5 ","pages":"43-52"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147606319","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: 0

High-Speed I/O Equalizer Optimization Based on Deep Reinforcement Learning 基于深度强化学习的高速I/O均衡器优化

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-12-16 DOI: 10.1109/TSIPI.2025.3645170

Hung Khac Le;Jisoo Hwang;Jeong-Taek Kong;SoYoung Kim

{"title":"High-Speed I/O Equalizer Optimization Based on Deep Reinforcement Learning","authors":"Hung Khac Le;Jisoo Hwang;Jeong-Taek Kong;SoYoung Kim","doi":"10.1109/TSIPI.2025.3645170","DOIUrl":"https://doi.org/10.1109/TSIPI.2025.3645170","url":null,"abstract":"In this work, we propose a signal integrity and power efficiency optimization framework for high-speed input/output equalizer systems using deep reinforcement learning based on a deep double Q-network. Although equalizer techniques have long existed, few studies have systematically optimized the feed-forward equalizer, decision feedback equalizer, and continuous-time linear equalizer together, including the high-speed channel properties. This framework determines the parameters of the equalizer architecture to optimize performance metrics such as eye height, eye width, and power consumption. It offers three key advantages: a framework with a scalable deep neural network to efficiently model complex design challenges; a future-state technique that mitigates design-space expansion with a minimum number of output neurons; and simultaneous evaluation of power efficiency, unachievable with conventional methods. As a proof of concept, we present the optimization of equalizer architecture using the proposed approach across different high-speed channels, including a backplane and an interference-tolerant channel. Experimental results demonstrate that our approach improves signal and power performance significantly compared to those from conventional methods (e.g., minimum-mean squared error and least-mean squared) and converges much faster than genetic, particle swarm, and Bayesian optimization algorithms.","PeriodicalId":100646,"journal":{"name":"IEEE Transactions on Signal and Power Integrity","volume":"5 ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145877108","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: 0

High-Speed Channel Modeling Using Transformer Network 基于变压器网络的高速通道建模

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-11-24 DOI: 10.1109/TSIPI.2025.3636438

Hyunwook Park;Davit Kharshiladze;Natalia Bondarenko;Hanqin Ye;Brice Achkir;Chulsoon Hwang

引用次数: 0

On the Modeling and Analysis of Crosstalk Noise in Nonidentical Lossy Interconnects 非同构有损互连中串扰噪声的建模与分析

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-10-14 DOI: 10.1109/TSIPI.2025.3621163

Fatemeh Zahedi;Esfandiar Mehrshahi;Amir Jabbari

引用次数: 0

Balanced Dispersive Delay Circuit With Common-Mode Suppression and Filtering Characteristics 具有共模抑制和滤波特性的平衡色散延迟电路

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-10-14 DOI: 10.1109/TSIPI.2025.3621185

Shipeng Zhao;Zhongbao Wang;Dehao Zhao;Hongmei Liu;Shaojun Fang

引用次数: 0

De-Embedding for Coupled Three-Port Devices 耦合三端口器件的去嵌入

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-09-10 DOI: 10.1109/TSIPI.2025.3608692

Junyong Park;Yuandong Guo;Bo Pu;DongHyun Kim;Jun Fan

引用次数: 0

Novel Observations on Impact of Ground Bounce on Logic-HIGH 地面弹跳对Logic-HIGH影响的新观测

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-08-07 DOI: 10.1109/TSIPI.2025.3596886

Anuj Kumar;Jai Narayan Tripathi

引用次数: 0

Extraction of DKglass and DKresin for PCB Striplines and Analysis of Far-End Crosstalk PCB带状线中dk玻璃和dk树脂的提取及远端串扰分析

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-06-26 DOI: 10.1109/TSIPI.2025.3583657

Junyong Park;Yuandong Guo;Xiaoning Ye;DongHyun Kim

引用次数: 0

A Hybrid Boundary Element and Analytical Method (BEAM) for Efficient Capacitance Extraction in Multilayer Dielectrics 多层介质中高效电容提取的混合边界元与解析法（BEAM）

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-06-17 DOI: 10.1109/TSIPI.2025.3580490

Jie Li;Min Tang;Junfa Mao

{"title":"A Hybrid Boundary Element and Analytical Method (BEAM) for Efficient Capacitance Extraction in Multilayer Dielectrics","authors":"Jie Li;Min Tang;Junfa Mao","doi":"10.1109/TSIPI.2025.3580490","DOIUrl":"https://doi.org/10.1109/TSIPI.2025.3580490","url":null,"abstract":"In this article, a hybrid approach combining the boundary element method (BEM) with analytical solution of stacked dielectrics is proposed for the capacitance extraction of multilayer dielectric structures. First, the flexible BEM employs an adaptive refined mesh to address the interconnect region, which contains complex conductors and conformal dielectrics. Second, for the upper and lower stacked dielectrics, the analytical solution based on separation of variables technique is derived to construct interface equations. After that, these equations are treated as the numerical boundary conditions and incorporated into the matrix equation formed by the BEM in the interconnect region. By this means, the proposed hybrid boundary element and analytical method efficiently compresses the regular stacked dielectrics into interface equations through analytical expressions, ensuring high accuracy without introducing additional errors. Furthermore, the numerical discretization is confined to the interconnect region, greatly reducing the number of unknowns and resulting in significant savings in computational resources. Numerical examples validate the accuracy and efficiency of the proposed method.","PeriodicalId":100646,"journal":{"name":"IEEE Transactions on Signal and Power Integrity","volume":"4 ","pages":"141-148"},"PeriodicalIF":0.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524419","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: 0

An Efficient Fixture Removal Embedded Modeling Method Based on TDR and CNN Technique 基于TDR和CNN技术的高效夹具移除嵌入式建模方法

IEEE Transactions on Signal and Power Integrity Pub Date : 2025-04-15 DOI: 10.1109/TSIPI.2025.3560949

Si-Yao Tang;Xing-Chang Wei;Richard Xian-Ke Gao

引用次数: 0