{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T04:02:46Z","timestamp":1751169766864,"version":"3.41.0"},"reference-count":30,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Electron. Express"],"published-print":{"date-parts":[[2025,6,25]]},"DOI":"10.1587\/elex.22.20250207","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T22:06:25Z","timestamp":1747087585000},"page":"20250207-20250207","source":"Crossref","is-referenced-by-count":0,"title":["A novel implementation of folding signal interference suppression based on stochastic logic"],"prefix":"10.1587","volume":"22","author":[{"given":"Yan","family":"Li","sequence":"first","affiliation":[{"name":"Dept. of National Key Lab. of Communications, University of Electronic Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangxin","family":"Meng","sequence":"additional","affiliation":[{"name":"Dept. of National Key Lab. of Communications, University of Electronic Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuo","family":"Liao","sequence":"additional","affiliation":[{"name":"Dept. of National Key Lab. of Communications, University of Electronic Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongye","family":"Zhang","sequence":"additional","affiliation":[{"name":"Dept. of National Key Lab. of Communications, University of Electronic Science and Technology of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] V. Panse, <i>et al<\/i>.: \u201cDigital self-interference cancellation in the era of machine learning: a comprehensive review,\u201d Physical Communication <b>50<\/b> (2022) 101526 (DOI: 10.1016\/j.phycom.2021.101526).","DOI":"10.1016\/j.phycom.2021.101526"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] A. Bhandari, <i>et al<\/i>.: \u201cOn unlimited sampling and reconstruction,\u201d IEEE Trans. Signal Process. <b>69<\/b> (2020) 3827 (DOI: 10.1109\/tsp.2020.3041955).","DOI":"10.1109\/TSP.2020.3041955"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] O. Musa, <i>et al<\/i>.: \u201cOn approximate message passing algorithms for unlimited sampling of sparse signals,\u201d IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (2023) 131 (DOI: 10.1109\/camsap58249.2023.10403491).","DOI":"10.1109\/CAMSAP58249.2023.10403491"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] D. Florescu, <i>et al<\/i>.: \u201cThe surprising benefits of hysteresis in unlimited sampling: Theory, algorithms and experiments,\u201d IEEE Trans. Signal Process. <b>70<\/b> (2022) 616 (DOI: 10.1109\/tsp.2022.3142507).","DOI":"10.1109\/TSP.2022.3142507"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] E. Azar, <i>et al<\/i>.: \u201cResidual recovery algorithm for modulo sampling,\u201d IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022) 5722 (DOI: 10.1109\/icassp43922.2022.9747881).","DOI":"10.1109\/ICASSP43922.2022.9747881"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] E. Azar, <i>et al<\/i>.: \u201cRobust unlimited sampling beyond modulo,\u201d arXiv preprint (2022) arXiv:2206.14656 (DOI: 10.48550\/arXiv.2206.14656).","DOI":"10.2139\/ssrn.4406759"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] T. Feuillen, <i>et al<\/i>.: \u201cUnlimited sampling for FMCW radars: a proof of concept,\u201d 2022 IEEE Radar Conference (RadarConf22) (2022) 1 (DOI: 10.1109\/radarconf2248738.2022.9764291).","DOI":"10.1109\/RadarConf2248738.2022.9764291"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] G. Beltr\u00e3o, <i>et al<\/i>.: \u201cUnlimited sampling for radar-based vital sign monitoring,\u201d 2022 56th Asilomar Conference on Signals, Systems, and Computers (2022) 1131 (DOI: 10.1109\/ieeeconf56349.2022.10051975).","DOI":"10.1109\/IEEECONF56349.2022.10051975"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] Z. Liu, <i>et al<\/i>.: \u201c<i>\u03bb<\/i>-MIMO: massive MIMO via modulo sampling,\u201d IEEE Trans. Commun. <b>71<\/b> (2023) 6301 (DOI: 10.1109\/tcomm.2023.3305528).","DOI":"10.1109\/TCOMM.2023.3305528"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] S. Fern\u00e1ndez-Mendui\u00f1a, <i>et al<\/i>.: \u201cComputational array signal processing via modulo non-linearities,\u201d IEEE Trans. Signal Process. <b>70<\/b> (2022) 2168 (DOI: 10.1109\/tsp.2021.3101437).","DOI":"10.1109\/TSP.2021.3101437"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] M. Beckmann, <i>et al<\/i>.: \u201cThe modulo Radon transform: theory, algorithms, and applications,\u201d SIAM Journal on Imaging Sciences <b>15<\/b> (2022) 455 (DOI: 10.1137\/21m1424615).","DOI":"10.1137\/21M1424615"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] A. Bhandari, <i>et al<\/i>.: \u201cUnlimited sampling of sparse sinusoidal mixtures,\u201d 2018 IEEE International Symposium on Information Theory (ISIT) (2018) 336 (DOI: 10.1109\/isit.2018.8437122).","DOI":"10.1109\/ISIT.2018.8437122"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] B.R. Gaines: in <i>Advances inInformation Systems Science<\/i>, ed. J.F. Tou, <b>2<\/b> (Plenum, New York 1969) 37 (DOI: 10.1007\/978-1-4899-5841-9_2).","DOI":"10.1007\/978-1-4899-5841-9_2"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] C. Winstead and S. Howard: \u201cA probabilistic LDPC-coded fault compensation technique for reliable nanoscale computing,\u201d IEEE Trans. Circuits Syst. II, Exp. Briefs <b>56<\/b> (2009) 484 (DOI: 10.1109\/tcsii.2009.2020946).","DOI":"10.1109\/TCSII.2009.2020946"},{"key":"15","doi-asserted-by":"publisher","unstructured":"[15] B.D. Brown and H.C. Card: \u201cStochastic neural computation. I. Computational elements,\u201d IEEE Trans. Comput. <b>50<\/b> (2001) 891 (DOI: 10.1109\/12.954505)","DOI":"10.1109\/12.954505"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] W. Qian and M.D. Riedel: \u201cThe synthesis of robust polynomial arithmetic with stochastic logic,\u201d 45th ACM\/IEEE Design Automation Conference (2008) 648 (DOI: 10.1145\/1391469.1391636).","DOI":"10.1145\/1391469.1391636"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] W. Qian, <i>et al<\/i>.: \u201cAn efficient implementation of numerical integration using logical computation on stochastic bit streams,\u201d 2012 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD) (2012) 156 (DOI: 10.1145\/2429384.2429414).","DOI":"10.1145\/2429384.2429414"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] S.S. Tehrani, <i>et al<\/i>.: \u201cAn area-efficient FPGA-based architecture for fully-parallel stochastic LDPC decoding,\u201d 2007 IEEE Workshop on Signal Processing Systems (2007) 255 (DOI: 10.1109\/sips.2007.4387554).","DOI":"10.1109\/SIPS.2007.4387554"},{"key":"19","unstructured":"[19] J. Chen and J. Hu: \u201cA nova FIR filter based on stochastic logic,\u201d 2013 IEEE International Symposium on Circuits and Systems (ISCAS) (2013) (DOI: 10.1109\/iscas.2013.6572275)."},{"key":"20","doi-asserted-by":"crossref","unstructured":"[20] W. Qian, <i>et al<\/i>.: \u201cAn architecture for fault-tolerant computation with stochastic logic,\u201d IEEE Trans. Comput. <b>60<\/b> (2011) 93 (DOI: 10.1109\/tc.2010.202).","DOI":"10.1109\/TC.2010.202"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] Y. Li, <i>et al<\/i>.: \u201cImproved low-power cost-effective DCT implementation based on Markov random field and stochastic logic,\u201d IEEE Trans. Circuits Syst. Video Technol. <b>30<\/b> (2019) 3803 (DOI: 10.1109\/tcsvt.2019.2945024).","DOI":"10.1109\/TCSVT.2019.2945024"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] Y. Li, <i>et al<\/i>.: \u201cLow power area-efficient DCT implementation based on Markov random field-stochastic logic,\u201d 2018 IEEE International Symposium on Circuits and Systems (ISCAS) (2018) 1 (DOI: 10.1109\/iscas.2018.8350908).","DOI":"10.1109\/ISCAS.2018.8350908"},{"key":"23","doi-asserted-by":"crossref","unstructured":"[23] Y. Li, <i>et al<\/i>.: \u201cImplementation of efficient parallel discrete cosine transforms using stochastic logic,\u201d IEEE International Symposium on Circuits and Systems (2016) 706 (DOI: 10.1109\/iscas.2016.7527338).","DOI":"10.1109\/ISCAS.2016.7527338"},{"key":"24","doi-asserted-by":"crossref","unstructured":"[24] Y. Li and J. Hu: \u201cA novel implementation scheme for high area-efficient DCT based on signed stochastic computation,\u201d IEEE International Symposium on Circuits and Systems (2013) 990 (DOI: 10.1109\/iscas.2013.6572015).","DOI":"10.1109\/ISCAS.2013.6572015"},{"key":"25","doi-asserted-by":"crossref","unstructured":"[25] B. Yuan, <i>et al<\/i>.: \u201cArea-efficient scaling-free DFT\/FFT design using stochastic computing,\u201d IEEE Trans. Circuits Syst. II, Exp. Briefs <b>63<\/b> (2016) 1131 (DOI: 10.1109\/tcsii.2016.2603465).","DOI":"10.1109\/TCSII.2016.2603465"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] B. Yuan, <i>et al<\/i>.: \u201cArea-efficient error-resilient discrete Fourier transformation design using stochastic computing,\u201d Proc. ACM 26th GLSVLSI (2016) 33 (DOI: 10.1145\/2902961.2902978).","DOI":"10.1145\/2902961.2902978"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] A. Bhandari, <i>et al<\/i>.: \u201cUnlimited sampling from theory to practice: Fourier-Prony recovery and prototype ADC,\u201d IEEE Trans. Signal Process. <b>70<\/b> (2021) 1131 (DOI: 10.1109\/tsp.2021.3113497).","DOI":"10.1109\/TSP.2021.3113497"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] E. Azar, <i>et al<\/i>.: \u201cResidual recovery algorithm for modulo sampling,\u201d ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022) 5722 (DOI: 10.1109\/icassp43922.2022.9747881).","DOI":"10.1109\/ICASSP43922.2022.9747881"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] Z. Li, <i>et al<\/i>.: \u201cAn augmented nonlinear LMS for digital self-interference cancellation in full-duplex direct-conversion transceivers,\u201d IEEE Trans. Signal Process. <b>66<\/b> (2018) 4065 (DOI: 10.1109\/tsp.2018.2846250).","DOI":"10.1109\/TSP.2018.2846250"},{"key":"30","doi-asserted-by":"crossref","unstructured":"[30] S.-M. Omar, <i>et al<\/i>.: \u201cTowards an OFDM radar waveform for detection of far located targets with relatively low radar cross sections,\u201d Digital Signal Processing <b>114<\/b> (2021) 103051 (DOI: 10.1016\/j.dsp.2021.103051).","DOI":"10.1016\/j.dsp.2021.103051"}],"container-title":["IEICE Electronics Express"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/elex\/22\/12\/22_22.20250207\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T03:24:32Z","timestamp":1751081072000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/elex\/22\/12\/22_22.20250207\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,25]]},"references-count":30,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.1587\/elex.22.20250207","relation":{},"ISSN":["1349-2543"],"issn-type":[{"type":"electronic","value":"1349-2543"}],"subject":[],"published":{"date-parts":[[2025,6,25]]},"article-number":"22.20250207"}}