High-Performance and High-Speed Pipelined Adcs

El-Chammas, Manar

High-Performance and High-Speed Pipelined Adcs
  • 出版商: Springer
  • 出版日期: 2024-05-21
  • 售價: $2,520
  • 貴賓價: 9.5 折 $2,394
  • 語言: 英文
  • 頁數: 150
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031297024
  • ISBN-13: 9783031297021

    • 海外代購書籍(需單獨結帳)

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商品描述

This book discusses the theoretical foundations and design techniques needed to effectively design high-speed (multi-GS/s) and high-performance pipelined ADCs, which play a critical role in the signal chain of various systems. Readers will be walked through the design and analysis of pipelined ADCs and their topologies, and will learn both theoretical and practical design details that will enable them to explore and build these data converters. The author also presents details on various aspects of pipelined ADCs and their impact on the ADC speed and performance, with a focus on the input buffer and sampling network, the reference amplifier, comparators and their impact on ADC error rate and high-frequency performance, and mismatch estimation and correction.

商品描述(中文翻譯)

本書討論了設計高速（多 GS/s）和高性能流水線式 ADC 所需的理論基礎和設計技巧，這在各種系統的信號鏈中扮演著關鍵角色。讀者將逐步了解流水線式 ADC 的設計和分析，以及它們的拓撲結構，並學習理論和實際設計細節，使他們能夠探索和構建這些數據轉換器。作者還介紹了流水線式 ADC 的各個方面及其對 ADC 速度和性能的影響，重點關注輸入緩衝器和取樣網絡、參考放大器、比較器及其對 ADC 錯誤率和高頻性能的影響，以及不匹配估計和校正的細節。

作者簡介

Manar El-Chammas received his Ph.D. from Stanford University in 2010, where his research focused on multi-GS/s time-interleaved ADCs. He joined Texas Instruments in 2010, where he worked on high-speed and high-performance ADCs for wireless infrastructure, and was the design manager of the High Speed Data Converter group. He later joined Mythic as the Director of Analog Design, where he led the development of the core analog computation engine for neural networks. Afterwards, he worked at an early stage startup architecting novel artificial intelligence inference systems. He then joined Omni Design Technologies, and is currently SVP of Engineering focused on ultra-high speed data converter architectures. He has been granted multiple patents in high-speed ADC design and mixed-signal computation, has published and presented a variety of journal and conference articles (and was the recipient of the best paper award at IEEE BCTM), and has written a book on time-interleaved ADCs.. His research interests include highly linear sampling systems, ultra-low power data converter design, and efficient computation systems for machine learning.

作者簡介(中文翻譯)

Manar El-Chammas於2010年從斯坦福大學獲得博士學位，他的研究專注於多GS/s交錯時間ADC。他於2010年加入德州儀器公司，從事無線基礎設施的高速和高性能ADC設計工作，並擔任高速數據轉換器組的設計經理。後來，他擔任Mythic的模擬設計總監，領導神經網絡的核心模擬計算引擎的開發。之後，他在一家初創公司工作，設計新穎的人工智能推理系統。然後，他加入了Omni Design Technologies，目前擔任高速數據轉換器架構的高級副總裁。他在高速ADC設計和混合信號計算方面獲得了多項專利，發表和演講了多種期刊和會議文章（並獲得了IEEE BCTM的最佳論文獎），並撰寫了一本關於交錯時間ADC的書籍。他的研究興趣包括高線性取樣系統、超低功耗數據轉換器設計和高效的機器學習計算系統。

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