TY - JOUR
T1 - Analog-to-Digital Compression
T2 - A New Paradigm for Converting Signals to Bits
AU - Kipnis, Alon
AU - Eldar, Yonina C.
AU - Goldsmith, Andrea J.
N1 - Funding Information:
This work was supported in part by the National Science Foundation (NSF) under grant CCF-1320628, by the NSF’s Center for Science of Information grant CCF-0939370, and by the U.S.-Israel Binational Science Foundation (BSF) under the BSF Transformative Science grant 2010505.
Funding Information:
Yonina C. Eldar (yonina@ee.technion.ac.il) is a professor in the Department of Electrical Engineering at the Technion– Israel Institute of Technology, Haifa, where she holds the Edwards Chair in engineering. She is also an adjunct professor at Duke University, Durham, North Carolina, and a research affiliate with the Research Laboratory of Electronics at the Massachusetts Institute of Technology, Cambridge, and she was a visiting professor at Stanford University, California. She is a member of the Israel Academy of Sciences and Humanities and of the European Association for Signal Processing. She has received many awards for excellence in research and teaching, including the IEEE Signal Processing Society Technical Achievement Award, the IEEE/Aerospace and Electronic Systems Society Fred Nathanson Memorial Radar Award, the IEEE Kiyo Tomiyasu Award, the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, and the Wolf Foundation Krill Prize for Excellence in Scientific Research. She is the editor-in-chief of Foundations and Trends in Signal Processing and serves the IEEE on several technical and award committees. She is a Fellow of the IEEE.
Publisher Copyright:
© 1991-2012 IEEE.
PY - 2018/5
Y1 - 2018/5
N2 - Processing, storing, and communicating information that originates as an analog signal involves converting this information to bits. This conversion can be described by the combined effect of sampling and quantization, as shown in Figure 1. The digital representation is achieved by first sampling the analog signal to represent it by a set of discretetime samples and then quantizing these samples to a finite number of bits. Traditionally, these two operations are considered separately. The sampler is designed to minimize the information loss due to sampling based on characteristics of the continuoustime input. The quantizer is designed to represent the samples as accurately as possible, subject to a constraint on the number of bits that can be used in the representation. The goal of this article is to revisit this paradigm by illuminating the dependency between these two operations. In particular, we explore the requirements of the sampling system subject to the constraints on the available number of bits for storing, communicating, or processing the analog information.
AB - Processing, storing, and communicating information that originates as an analog signal involves converting this information to bits. This conversion can be described by the combined effect of sampling and quantization, as shown in Figure 1. The digital representation is achieved by first sampling the analog signal to represent it by a set of discretetime samples and then quantizing these samples to a finite number of bits. Traditionally, these two operations are considered separately. The sampler is designed to minimize the information loss due to sampling based on characteristics of the continuoustime input. The quantizer is designed to represent the samples as accurately as possible, subject to a constraint on the number of bits that can be used in the representation. The goal of this article is to revisit this paradigm by illuminating the dependency between these two operations. In particular, we explore the requirements of the sampling system subject to the constraints on the available number of bits for storing, communicating, or processing the analog information.
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U2 - 10.1109/MSP.2017.2774249
DO - 10.1109/MSP.2017.2774249
M3 - Article
AN - SCOPUS:85046645966
SN - 1053-5888
VL - 35
SP - 16
EP - 39
JO - IEEE Audio and Electroacoustics Newsletter
JF - IEEE Audio and Electroacoustics Newsletter
IS - 3
ER -