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“Noise and Distortion, Part II” [Circuit Intuitions] "噪声与失真,第二部分"[电路直觉]
Pub Date : 2024-11-14 DOI: 10.1109/MSSC.2024.3473730
Ali Sheikholeslami
Welcome to the 40th article in the “Circuit Intuitions” column series. As the title suggests, each article provides insights and intuitions into circuit design and analysis. These articles are aimed at undergraduate students but may serve the interests of other readers as well. If you read this article, I would appreciate your comments and feedback as well as your requests and suggestions for future articles in this series. Please e-mail me your comments at ali@ece.utoronto.ca.
欢迎阅读 "电路直觉 "系列专栏的第 40 篇文章。正如标题所示,每篇文章都提供了有关电路设计和分析的见解和直觉。这些文章面向本科生,但也可能符合其他读者的兴趣。如果您读过这篇文章,我将非常感谢您的评论和反馈,以及您对本系列未来文章的要求和建议。请将您的意见通过电子邮件发送给我:ali@ece.utoronto.ca。
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引用次数: 0
Fundamentals of Continuous-Time ADCs: Part Two: Continuous-Time Delta–Sigma Converters 连续时间 ADC 基础知识:第二部分:连续时间三角积分转换器
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3443249
Shanthi Pavan
The first part of this two-article series described the continuous-time pipelined (CTP) ADC, which is appropriate when the oversampling ratio (OSR) is small. When the OSR is large, it becomes feasible to embed the quantizer into the antialias filter’s feedback loop. Such sub-systems are referred to as continuous-time delta-sigma modulators. This article describes the ideas behind such analog-to-digital converters.
本系列文章共两篇,第一部分介绍了连续时间流水线(CTP)模数转换器,它适用于过采样率(OSR)较小的情况。当 OSR 较大时,将量化器嵌入抗混叠滤波器的反馈环路就变得可行。这种子系统被称为连续时间三角积分调制器。本文将介绍这种模数转换器背后的理念。
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引用次数: 0
IEEE Connecting IEEE 连接
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3485956
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引用次数: 0
IEEE Access IEEE Access
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3486090
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引用次数: 0
SSCS PICO Chronicles: News From the Open Source Community: Code-a-Chip Travel Grant Awards at VLSI 2024 [Society News] SSCS PICO 编年史:来自开源社区的新闻:Code-a-Chip Travel Grant Awards at VLSI 2024 [学会新闻]
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3475708
Harald Pretl;Ali Sabir;Mehdi Saligane;Sadayuki Yoshitomi
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
提供从业人员和研究人员感兴趣的社会信息,包括新闻、评论或技术说明。
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引用次数: 0
IEEE CASS/SSCS/EDS Wuhan Joint Chapter Successfully Hosts Lectures on Security of Edge Deep Neural Networks, IEEE Professional Career Development, and Interplay of AI and Domain-Specific Computing [Chapters] IEEE CASS/SSCS/EDS 武汉联合分会成功举办 "边缘深度神经网络的安全性"、"IEEE 职业发展 "和 "人工智能与特定领域计算的相互作用 "讲座 [章节]
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3460148
Xupeng Zhang;Zixuan Shen;Chao Wang
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
提供从业人员和研究人员感兴趣的社会信息,包括新闻、评论或技术说明。
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引用次数: 0
Asymmetric Transmittance and Nonreciprocity in Guided Wave Circuits: Fundamentals and IC topology 导波电路中的非对称透射率和非互斥性:基础知识和集成电路拓扑
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3437290
Luhong Su;Heijun Jeong;Hwaseob Lee;Lorry Chang;Tingyi Gu
In a reciprocal system, all the wave travels in the same way backward as forward. When the exchange between the source and detectors result in different transmittance, non-Hermiticity is granted but the nonreciprocity needs to be carefully evaluated. Although most of the integrated circuits are reciprocal, unexpected nonreciprocal response may emerge in the system, especially the tunable components containing asymmetrically coupled resonators, traveling wave electrodes and hysteresis response. The nonreciprocity may result in unexpected signal distribution, distortion and errors in analogue circuits of electrical and photonic networks. With proper engineering, the nonreciprocity can be leveraged and optimized for suppressing the laser noise in photonic systems as isolators, reducing the circuits duplication as circulators. The radio-frequency nonreciprocity can be used for protecting the high power amplifiers from oscillation and damage. Asymmetric coupling can also be useful in simplifying the circuit complexity and reducing crosstalk in the optical interconnect transceiver circuits.
在互惠系统中,所有波的后向传播方式与前向传播方式相同。当光源和探测器之间的交换导致不同的透射率时,就会产生非互易性,但需要仔细评估非互易性。虽然大多数集成电路都是互惠的,但系统中可能会出现意想不到的非互惠响应,尤其是包含非对称耦合谐振器、行波电极和滞后响应的可调元件。非互易性可能会导致电气和光子网络模拟电路中出现意外的信号分布、失真和误差。通过适当的工程设计,非互易性可作为隔离器用于抑制光子系统中的激光噪声,作为环行器用于减少电路重复。射频非互易性可用于保护高功率放大器免受振荡和损坏。非对称耦合还有助于简化电路复杂性,减少光互连收发器电路中的串扰。
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引用次数: 0
Automated Speech Recognition: Spurring Artificial Intelligence Innovation [Circuits from a Systems Perspective] 自动语音识别:促进人工智能创新 [从系统角度看电路]
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3473747
Farhana Sheikh
Roughly 25 years ago, it was rare for an individual to interact with a voice-activated service on a daily basis. Since then, there has been an exponential rise in devices that use the human voice as input. A study published in Forbes magazine [1] estimates that by 2025 the global voice recognition market will reach US${$}$26.8 billion. Today, more than one in four people regularly use voice search, and by the end of 2024, it is estimated that the number of digital voice assistants in the world will reach 8.4 billion [1], slightly greater than the world’s total population. As the use of voice-activated assistants exponentially rises, it is also expected that commercial transactions made through such devices will increase, reaching US${$}$164 billion by 2025 [1]. Interestingly enough, the technologies that enabled the recent skyrocketing acceptance of voice rather than text as input to a computing machine are closely tied to the recent natural language processing (NLP) phenomena responsible for artificial intelligence (AI) engines such as ChatGPT. In this installment of “Circuits From a Systems Perspective,” we briefly review the history of automatic speech recognition (ASR) and show how intertwined it is with NLP that has led to large language models (LLMs) which have spurred the new age of AI. We review a modern speech recognition system and some of the circuits that could possibly enhance ASR systems that we may see in the future.
大约 25 年前,人们还很少每天与声控服务进行交互。从那时起,使用人声作为输入的设备呈指数级增长。福布斯》杂志[1] 发表的一项研究估计,到 2025 年,全球语音识别市场规模将达到 268 亿美元。如今,每四个人中就有一个以上经常使用语音搜索,预计到 2024 年底,全球数字语音助手的数量将达到 84 亿[1],略高于全球总人口。随着声控助手的使用呈指数级增长,预计通过此类设备进行的商业交易也将增加,到 2025 年将达到 1,640 亿美元[1]。有趣的是,最近人们对语音而非文字作为计算机输入的接受程度急剧上升,这与最近出现的自然语言处理(NLP)现象密切相关,而这些现象正是 ChatGPT 等人工智能(AI)引擎的功劳。在本期的 "系统视角下的电路 "中,我们将简要回顾自动语音识别(ASR)的历史,并说明它与 NLP 是如何交织在一起的,而 NLP 又导致了大型语言模型(LLM)的出现,从而推动了人工智能的新时代。我们回顾了现代语音识别系统和一些电路,这些电路有可能增强我们未来可能看到的 ASR 系统。
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引用次数: 0
IEEE App IEEE 应用程序
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3486127
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引用次数: 0
IEEE Solid-State Circuits Society Kolkata Chapter [Chapters] IEEE 固态电路协会加尔各答分会 [分会]
Pub Date : 2024-11-13 DOI: 10.1109/MSSC.2024.3460094
Kalyan Biswas
Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.
提供从业人员和研究人员感兴趣的社会信息,包括新闻、评论或技术说明。
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引用次数: 0
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IEEE Solid-State Circuits Magazine
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