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      A Low-Power CMOS Wireless Acoustic Sensing Platform for Remote Surveillance Applications

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          Abstract

          A low-power wireless acoustic sensing platform for remote surveillance applications based on a 180 nm CMOS technology is proposed in this paper. The audio signal, which is acquired by a microphone, is first amplified and filtered. Then, the analog signal is converted to a digital signal by a 10-bit analog-to-digital converter (ADC). A digital automatic gain control module is integrated to obtain an optimal input of the ADC. The digital signal is modulated and transmitted at the 433 MHz ISM band after being repacked and encoded. To save power for portable applications, the chip switches to standby mode when no audio is detected. The wireless sensing platform occupies a chip area of 1.76 mm 2 . The supply voltage is 2.5 V for the power amplifier and 1.8 V for other circuits. The measured maximum output power is 5.7 dBm and the transmission distance is over 500 m for real application scenarios. The chip consumes 25.1 mW power in normal work mode and 0.058 mW in standby mode. Compared to existing wireless acoustic sensors, the proposed wireless acoustic sensing platform can achieve features such as compactness, power efficiency, and reliability.

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          A compact power-efficient 3 V CMOS rail-to-rail input/output operational amplifier for VLSI cell libraries

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            A 128$\,\times$ 128 1.5% Contrast Sensitivity 0.9% FPN 3 µs Latency 4 mW Asynchronous Frame-Free Dynamic Vision Sensor Using Transimpedance Preamplifiers

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              Audio Surveillance of Roads: A System for Detecting Anomalous Sounds

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                28 December 2019
                January 2020
                : 20
                : 1
                : 178
                Affiliations
                School of Microelectronics, Shandong University, 1500 Shunhua Road, Jinan 250101, China; zhenyueliu@ 123456mail.sdu.edu.cn (Z.L.); bby@ 123456mail.sdu.edu.cn (B.Y.)
                Author notes
                [* ]Correspondence: yongw@ 123456sdu.edu.cn (Y.W.); rzhou@ 123456sdu.edu.cn (R.Z.)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-6063-5767
                Article
                sensors-20-00178
                10.3390/s20010178
                6983088
                31905629
                e927f39e-9d24-48b2-abe1-9d8f23e5c626
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 06 November 2019
                : 26 December 2019
                Categories
                Article

                Biomedical engineering
                wireless acoustic sensing,remote surveillance,low-power,cmos
                Biomedical engineering
                wireless acoustic sensing, remote surveillance, low-power, cmos

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