{"product_id":"incremental-data-converters-for-sensor-interfaces-hardcover-1","title":"Incremental Data Converters for Sensor Interfaces - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eChia-Hung Chen\u003c\/b\u003e (Author), \u003cb\u003eGabor C. Temes\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensive resource discussing operating principles, available architectures, and design of micropower incremental analog-to-digital converters (IADCs)\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eTo aid in reader comprehension and serve as an excellent classroom learning resource, \u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e includes in-text problems and homework for graduate studies, along with helpful computer codes in MATLAB and Simulink. \u003c\/p\u003e\u003cp\u003eAdditional topics covered in \u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eSensors and sensor interfaces, mixed-mode (analog-digital) communication and consumer signal chains, and ADC algorithms\u003c\/li\u003e \u003cli\u003eQuantization errors vs. quantization noise, and performance parameters and figures of merit, including resolution, linearity, accuracy, bandwidth, latency, and power dissipation\u003c\/li\u003e \u003cli\u003eNyquist-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\u003c\/li\u003e \u003cli\u003eLoop filter design, D\/A converter design, dynamic element matching and digital calibration, and quantizer design\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWith comprehensive coverage of foundational knowledge surrounding the subject, various real-world examples, and helpful learning aids, \u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e is an essential resource for graduate students in electronics programs, along with industrial circuit design professionals.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eComprehensive resource discussing operating principles, available architectures, and design of micropower incremental analog-to-digital converters (IADCs)\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eTo aid in reader comprehension and serve as an excellent classroom learning resource, \u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e includes in-text problems and homework for graduate studies, along with helpful computer codes in MATLAB and Simulink. \u003c\/p\u003e\u003cp\u003eAdditional topics covered in \u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e include: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSensors and sensor interfaces, mixed-mode (analog-digital) communication and consumer signal chains, and ADC algorithms\u003c\/li\u003e \u003cli\u003eQuantization errors vs. quantization noise, and performance parameters and figures of merit, including resolution, linearity, accuracy, bandwidth, latency, and power dissipation\u003c\/li\u003e \u003cli\u003eNyquist-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\u003c\/li\u003e \u003cli\u003eLoop filter design, D\/A converter design, dynamic element matching and digital calibration, and quantizer design\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eWith comprehensive coverage of foundational knowledge surrounding the subject, various real-world examples, and helpful learning aids, \u003ci\u003eIncremental Data Converters for Sensor Interfaces\u003c\/i\u003e is an essential resource for graduate students in electronics programs, along with industrial circuit design professionals.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChia-Hung Chen\u003c\/b\u003e, 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eGabor C. Temes\u003c\/b\u003e, PhD, is a Professor with the School of Electrical Engineering and Computer Science at Oregon State University, Corvallis, USA. He has coedited and coauthored many papers and books; the most recent one being \u003ci\u003eUnderstanding Delta-Sigma Data Converters, 2nd Edition\u003c\/i\u003e (2016).\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 160\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 30, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213251559673,"sku":"9781394178384","price":180.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/2bCQ4Yldg09781394178384_2ca61646-cf20-479a-8a23-6e4dc3540e1d.webp?v=1768104410","url":"https:\/\/bookscloud.io\/products\/incremental-data-converters-for-sensor-interfaces-hardcover-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}