High-Performance and High-Speed Pipelined Adcs
暫譯: 高效能與高速管線式模數轉換器

El-Chammas, Manar

High-Performance and High-Speed Pipelined Adcs
  • 出版商: Springer
  • 出版日期: 2024-05-21
  • 售價: $2,500
  • 貴賓價: 9.5 折 $2,375
  • 語言: 英文
  • 頁數: 150
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031297024
  • ISBN-13: 9783031297021

    • 立即出貨 (庫存 < 3)

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)

本書探討了有效設計高速（多 GS/s）和高性能管線式模數轉換器（ADC）所需的理論基礎和設計技術，這些轉換器在各種系統的信號鏈中扮演著關鍵角色。讀者將學習管線式 ADC 的設計和分析及其拓撲結構，並了解理論和實踐設計的細節，使他們能夠探索和構建這些數據轉換器。作者還介紹了管線式 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路、參考放大器、比較器及其對 ADC 錯誤率和高頻性能的影響，以及不匹配的估算和修正。

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 年獲得史丹佛大學的博士學位，研究重點為多 GS/s 時間交錯模數轉換器 (ADC)。他於 2010 年加入德州儀器 (Texas Instruments)，專注於無線基礎設施的高速和高性能 ADC，並擔任高速數據轉換器小組的設計經理。之後，他加入 Mythic 擔任類比設計總監，負責開發神經網絡的核心類比計算引擎。隨後，他在一家早期階段的創業公司工作，架構新穎的人工智慧推理系統。接著，他加入 Omni Design Technologies，目前擔任工程高級副總裁，專注於超高速數據轉換器架構。他在高速 ADC 設計和混合信號計算方面獲得多項專利，發表並展示了多篇期刊和會議文章（並獲得 IEEE BCTM 最佳論文獎），並撰寫了一本關於時間交錯 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，以及用於機器學習的高效計算系統。

類似商品