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This paper introduces a resource efficient accelerator with general two-dimensional multiply-add array operator to focus on the characteristic of sensor signal processing, which can be applied to standard CNN, depth-wise CNN, Fully Connected (FC) layer for varied networks. Meanwhile, resource estimation model is also constructed to provide the exploration of parallel parameters for computing efficiency. Finally, a board-level verification is implemented to demonstrate the efficiency of proposed accelerator with common scene of LeNet and complex scene of MobileNetV1. Experimental results show that the Inferences Per Second (IPS) of 332225 and 1498 is realized with 100[Formula: see text]MHz frequency. The corresponding efficiency is 88.84% and 61.09%, which outperforms other related works about CNN accelerator design in terms of signal processing. This paper is also applicable and scalable to other fields about effective acceleration research. <\/jats:p>","DOI":"10.1142\/s0218126623500755","type":"journal-article","created":{"date-parts":[[2022,9,10]],"date-time":"2022-09-10T05:14:01Z","timestamp":1662786841000},"source":"Crossref","is-referenced-by-count":3,"title":["A Resource Efficient CNN Accelerator for Sensor Signal Processing Based on FPGA"],"prefix":"10.1142","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6015-3808","authenticated-orcid":false,"given":"Ruidong","family":"Wu","sequence":"first","affiliation":[{"name":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, P. R. China"}]},{"given":"Bing","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, P. R. China"}]},{"given":"Ping","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, P. R. China"}]},{"given":"Haolin","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2022,10,5]]},"reference":[{"volume-title":"Advances in Neural Information Processing Systems","year":"2012","author":"Krizhevsky A.","key":"S0218126623500755BIB001"},{"key":"S0218126623500755BIB002","first-page":"779","volume-title":"Proc. IEEE Conf. Computer Vision and Pattern Recognition","author":"Redmon J.","year":"2016"},{"key":"S0218126623500755BIB003","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1148\/radiol.2017171115","volume":"286","author":"Chen M. 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