| 期刊全称 | Adapted Compressed Sensing for Effective Hardware Implementations | | 期刊简称 | A Design Flow for Si | | 影响因子2023 | Mauro Mangia,Fabio Pareschi,Gianluca Setti | | 视频video | | | 发行地址 | Discusses the theory as necessary, but either in parallel with extremely simple examples or with reference to the performances that can be actually obtained by CS-based sensing systems.Describes a des | | 图书封面 |  | | 影响因子 | .This book describes algorithmic methods and hardware implementations that aim to help realize the promise of Compressed Sensing (CS), namely the ability to reconstruct high-dimensional signals from a properly chosen low-dimensional “portrait”. The authors describe a design flow and some low-resource physical realizations of sensing systems based on CS. They highlight the pros and cons of several design choices from a pragmatic point of view, and show how a lightweight and mild but effective form of adaptation to the target signals can be the key to consistent resource saving. The basic principle of the devised design flow can be applied to almost any CS-based sensing system, including analog-to-information converters, and has been proven to fit an extremely diverse set of applications. Many practical aspects required to put a CS-based sensing system to work are also addressed, including saturation, quantization, and leakage phenomena.. | | Pindex | Book 2018 |
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发表于 2025-3-21 17:36:56
