TY - CHAP
T1 - Introduction of ADC
AU - Hung, Chung Chih
AU - Wang, Shih Hsing
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - The detection of biomedical signals needs to be converted into digital signals by an analog-to-digital converter, and then relevant signal processing is performed to identify the characteristics of the biomedical signal so as to become meaningful information for subsequent processing. This chapter introduces the basic working principles of several commonly used analog-to-digital converters (ADC) and simulation details based on digital signal processing. Because different applications have different requirements for ADC speed, accuracy, and power consumption, a suitable ADC architecture needs to be selected for a specific application. We also present the basic operating steps and principles of ADCs, as well as some of its important static and dynamic performance indicators. In addition, the limitations imposed by the working environment will be discussed, including timing jitter and thermal noise limitations. This chapter also introduces common ADC architectures, including FLASH, pipeline, successive approximation, and Sigma-Delta data converters. More detailed discussion of the successive approximation ADC algorithm, calibration technology, and latest development trend are illustrated. In addition, ADC simulation and testing are discussed. Because ADC performance needs to be obtained through digital signal processing approaches, it is necessary to understand some basic knowledge of sampling frequency and input frequency selection, as well as FFT leakage problems. Finally, the commonly used test methods of Nyquist ADCs are presented.
AB - The detection of biomedical signals needs to be converted into digital signals by an analog-to-digital converter, and then relevant signal processing is performed to identify the characteristics of the biomedical signal so as to become meaningful information for subsequent processing. This chapter introduces the basic working principles of several commonly used analog-to-digital converters (ADC) and simulation details based on digital signal processing. Because different applications have different requirements for ADC speed, accuracy, and power consumption, a suitable ADC architecture needs to be selected for a specific application. We also present the basic operating steps and principles of ADCs, as well as some of its important static and dynamic performance indicators. In addition, the limitations imposed by the working environment will be discussed, including timing jitter and thermal noise limitations. This chapter also introduces common ADC architectures, including FLASH, pipeline, successive approximation, and Sigma-Delta data converters. More detailed discussion of the successive approximation ADC algorithm, calibration technology, and latest development trend are illustrated. In addition, ADC simulation and testing are discussed. Because ADC performance needs to be obtained through digital signal processing approaches, it is necessary to understand some basic knowledge of sampling frequency and input frequency selection, as well as FFT leakage problems. Finally, the commonly used test methods of Nyquist ADCs are presented.
KW - Analog-to-Digital Converter (ADC)
KW - Auto zero
KW - Differential nonlinearity (DNL)
KW - Eiffel tower effect
KW - Error correcting
KW - FFT leakage
KW - Flash ADC
KW - Hann
KW - Integral nonlinearity (INL)
KW - Linear ramp histogram
KW - Low-leakage bootstrap switch (LRBS)
KW - Noise transfer function (NTF)
KW - Nyquist
KW - Offset error
KW - Quantization
KW - R-2R
KW - Sampling
KW - Signal-to-noise ratio (SNR)
KW - Sparkle-Tolerant Edge Detector
KW - Windowing
UR - http://www.scopus.com/inward/record.url?scp=85121383632&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-88845-9_5
DO - 10.1007/978-3-030-88845-9_5
M3 - Chapter
AN - SCOPUS:85121383632
T3 - Analog Circuits and Signal Processing
SP - 137
EP - 191
BT - Analog Circuits and Signal Processing
PB - Springer
ER -