Data Acquisition and Signal Processing for Smart Sensors

Advanced microsensor technology is making a significant impact in fields as diverse as wireless communications and automotive, biomedical and chemical engineering. Data Acquisition and Signal Processing for Smart Sensors draws on the authors' collective practical experience in the design of sensor instrumentation to provide a systematic treatment of smart sensors and sensor systems. This unique reference presents an alternative to the classical approach to data acquisition and covers signal processing methods for digital and quasi-digital sensors.

Features Include:

• Introduction to the authors' novel Method of the Dependent Count™ for frequency (period) conversion and measurement and its applications.

• Consideration of modern sensor interface circuits and buses, along with an introduction to the Universal Transducer Interface (UTI) and Time to Digital Converter (TDC).

• Methods of frequency-to-code conversion for smart sensors, including direct, indirect, combined, interpolation and Fourier transform based techniques as well as advanced and self-adapting conversion methods.

• Comparative analysis of smart sensor systems with time- and space-division channelling functions.

• Detailed glossary of related terms accompanied by a guide to related web resources.

With coverage ranging from the detailed analysis of available conversion methods to software level smart sensor design, Data Acquisition and Signal Processing for Smart Sensors will have broad appeal amongst instrumentation and measurement professionals. Advanced students and researchers in microelectronics, engineers and developers of microsensor systems will appreciate the comprehensive treatment of this emerging area.

Table of Contents

Preface.

List of Abbreviations and Symbols.

Introduction.

Smart Sensors for Electrical and Non-Electrical, Physical and Chemical Variables: Tendencies and Perspectives.

Converters for Different Variables to Frequency-Time Parameters of the Electric Signal.

Data Acquisition Methods for Multichannel Sensor Systems.

Methods of Frequency-to-Code Conversion.

Advanced and Self-Adapting Methods of Frequency-to-Code Conversion.

Signal Processing in Quasi-Digital Smart Sensors.

Digital Output Smart Sensors with Software-Controlled Performances and Functional Capabilities.

Multichannel Intelligent and Virtual Sensor Systems.

Smart Sensor Design at Software Level.

Smart Sensor Buses and Interface Circuits.

Future Directions.

References.

Appendix A: What is on the Sensors Web Portal?

Glossary.

Index.

先進的微感測技術正在對無線通信、汽車、生物醫學和化學工程等領域產生重大影響。《智能感測器的數據采集和信號處理》借鑒了作者在感測器儀器設計方面的實踐經驗，系統地介紹了智能感測器和感測器系統。這本獨特的參考書提供了一種替代傳統數據采集方法的方法，並涵蓋了數字和準數字感測器的信號處理方法。

特點包括：
- 介紹作者的新型依賴計數法（Dependent Count™）用於頻率（周期）轉換和測量及其應用。
- 考慮現代感測器接口電路和匯流排，以及通用傳感器接口（UTI）和時間到數字轉換器（TDC）的介紹。
- 頻率到代碼轉換的方法，包括直接、間接、結合、插值和傅立葉變換等技術，以及先進和自適應的轉換方法。
- 智能感測器系統與時域和空域分割通道功能的比較分析。
- 詳細的術語詞彙表，附帶相關網絡資源指南。

從可用轉換方法的詳細分析到軟件級智能感測器設計，這本書將對儀器和測量專業人士具有廣泛的吸引力。微電子學高級學生和研究人員、微感測器系統的工程師和開發人員將欣賞到這一新興領域的全面介紹。

目錄：
- 前言
- 縮寫和符號列表
- 引言
- 電氣和非電氣、物理和化學變量的智能感測器：趨勢和展望
- 將不同變量轉換為電信號的頻率-時間參數的轉換器
- 多通道感測器系統的數據采集方法
- 頻率到代碼轉換的方法
- 先進和自適應的頻率到代碼轉換方法
- 準數字智能感測器的信號處理
- 軟件控制性能和功能的數字輸出智能感測器
- 多通道智能和虛擬感測器系統
- 軟件級智能感測器設計
- 智能感測器匯流排和接口電路
- 未來發展方向
- 參考文獻
- 附錄A：感測器網絡門戶上有什麼？
- 術語詞彙表
- 索引