Incremental Data Converters for Sensor Interfaces

Comprehensive resource discussing operating principles, available architectures, and design of micropower incremental analog-to-digital converters (IADCs)

Incremental Data Converters for Sensor Interfaces describes the motivation for using incremental analog-to-digital converters (IADCs), including the theoretical foundations of their operation, the trade-offs in their use, and the practical issues in the circuit analysis and design of IADCs. The text covers core foundational knowledge such as the key algorithms used, circuits for single-stage and multi-stage IADCs, the design of the digital post filters for single- and multi-stage IADCs, IADC applications in measurement and instrumentation, medicine, imagers, and IoT, and comparison of delta-sigma (D-S) and incremental ADCs (IADCs) in terms of accuracy, latency, and multiplexed operation.

To aid in reader comprehension and serve as an excellent classroom learning resource, Incremental Data Converters for Sensor Interfaces includes in-text problems and homework for graduate studies, along with helpful computer codes in MATLAB and Simulink.

Additional topics covered in Incremental Data Converters for Sensor Interfaces include:

• Sensors and sensor interfaces, mixed-mode (analog-digital) communication and consumer signal chains, and ADC algorithms
• Quantization errors vs. quantization noise, and performance parameters and figures of merit, including resolution, linearity, accuracy, bandwidth, latency, and power dissipation
• Nyquist-rate and oversampling data converters, noise-shaping ADCs, and basic architectures for IADCs, including single- and multi-stage designs and discrete vs. continuous-time operation
• Loop filter design, D/A converter design, dynamic element matching and digital calibration, and quantizer design

With comprehensive coverage of foundational knowledge surrounding the subject, various real-world examples, and helpful learning aids, Incremental Data Converters for Sensor Interfaces is an essential resource for graduate students in electronics programs, along with industrial circuit design professionals.

《感測器介面的增量式數據轉換器》是一本全面討論微功率增量式模數轉換器（IADC）操作原理、可用架構和設計的資源。本書描述了使用增量式模數轉換器（IADC）的動機，包括其操作的理論基礎、使用中的權衡以及IADC電路分析和設計中的實際問題。本書涵蓋了核心基礎知識，如使用的關鍵算法、單級和多級IADC的電路、單級和多級IADC的數字後濾波器設計，以及IADC在測量和儀器、醫學、圖像傳感器和物聯網中的應用，並從準確性、延遲和多路復用操作等方面比較了Delta-Sigma（D-S）和增量式ADC（IADC）。

為了幫助讀者理解並作為優秀的課堂學習資源，《感測器介面的增量式數據轉換器》提供了練習問題和研究生作業，並附有MATLAB和Simulink的有用電腦代碼。

《感測器介面的增量式數據轉換器》還涵蓋了以下其他主題：
- 感測器和感測器介面，混合模式（模擬-數字）通信和消費者信號鏈，以及ADC算法
- 量化誤差與量化噪聲，性能參數和指標，包括分辨率、線性度、準確性、帶寬、延遲和功耗
- Nyquist速率和超採樣數據轉換器，噪聲整形ADC，以及IADC的基本架構，包括單級和多級設計以及離散與連續時間操作
- 環路濾波器設計，D/A轉換器設計，動態元素匹配和數字校準，以及量化器設計

《感測器介面的增量式數據轉換器》全面涵蓋了該主題的基礎知識，提供了各種實際例子和有用的學習輔助工具，是電子學研究生和工業電路設計專業人士的必備資源。

Chia-Hung Chen, PhD, is an Assistant Professor with the Department of Electrical and Computer Engineering at National Yang Ming Chiao Tung University, Hsinchu, Taiwan. His research interests are in the design of precision analog circuits and energy-efficient data converters.

Gabor C. Temes, PhD, is a Professor with the School of Electrical Engineering and Computer Science at Oregon State University. He has coedited and coauthored many papers and books; the most recent one being Understanding Delta-Sigma Data Converters, 2^nd Edition (2016).

Chia-Hung Chen博士是台灣新竹國立陽明交通大學電機與電腦工程系的助理教授。他的研究興趣在於精密類比電路和節能數據轉換器的設計。

Gabor C. Temes博士是美國俄勒岡州立大學電機工程與計算機科學學院的教授。他曾共同編輯和合著許多論文和書籍，其中最近的一本是《Understanding Delta-Sigma Data Converters, 2nd Edition》（2016年）。