TY - CHAP
T1 - Power-Aware Analog to Digital Converters
AU - Mulleti, Satish
AU - Bhandari, Ayush
AU - Eldar, Yonina C.
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
PY - 2023
Y1 - 2023
N2 - Analog to digital converters (ADCs) enable the acquisition of analog signals by representing them in a digital format. Although the architectures and parameters of the ADCs vary with applications, a critical requirement is to keep their power consumption as low as possible. A low-power ADC is very crucial in application areas such as designing mobile and held-held devices that operate on battery power. In this chapter, we focus on three emerging methods that aim at reducing power consumption in the ADCs and have been recently drawing attention in the sampling theory literature. First, we discuss asynchronous time-encoding machines which are an alternative to conventional, clock-based uniform samplers. Such samplers measure time instants at which the integral of a signal crosses a certain threshold. These devices do not require a clock and hence are power efficient. Next, we discuss high-dynamic-range ADCs. Generally, the dynamic range of an ADC should be much greater than that of the signal; otherwise the signal is clipped. However, high-dynamic-range ADCs also require higher power. By using a modulo operator prior to sampling, high-dynamic-range signals can be sampled and recovered using low-dynamic-range and low-power ADCs. We conclude our discussion with systems in which the goal is not to recover the signal but rather an underlying task or function. In such cases we show that we can reduce the power by reducing the bit rate using an analog combiner prior to sampling.
AB - Analog to digital converters (ADCs) enable the acquisition of analog signals by representing them in a digital format. Although the architectures and parameters of the ADCs vary with applications, a critical requirement is to keep their power consumption as low as possible. A low-power ADC is very crucial in application areas such as designing mobile and held-held devices that operate on battery power. In this chapter, we focus on three emerging methods that aim at reducing power consumption in the ADCs and have been recently drawing attention in the sampling theory literature. First, we discuss asynchronous time-encoding machines which are an alternative to conventional, clock-based uniform samplers. Such samplers measure time instants at which the integral of a signal crosses a certain threshold. These devices do not require a clock and hence are power efficient. Next, we discuss high-dynamic-range ADCs. Generally, the dynamic range of an ADC should be much greater than that of the signal; otherwise the signal is clipped. However, high-dynamic-range ADCs also require higher power. By using a modulo operator prior to sampling, high-dynamic-range signals can be sampled and recovered using low-dynamic-range and low-power ADCs. We conclude our discussion with systems in which the goal is not to recover the signal but rather an underlying task or function. In such cases we show that we can reduce the power by reducing the bit rate using an analog combiner prior to sampling.
UR - http://www.scopus.com/inward/record.url?scp=85182830364&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-41130-4_16
DO - 10.1007/978-3-031-41130-4_16
M3 - فصل
T3 - Applied and Numerical Harmonic Analysis
SP - 415
EP - 452
BT - Applied and Numerical Harmonic Analysis
ER -