{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T03:04:47Z","timestamp":1785812687761,"version":"3.56.0"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T00:00:00Z","timestamp":1644364800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T00:00:00Z","timestamp":1644364800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1007\/s11760-021-02128-5","type":"journal-article","created":{"date-parts":[[2022,2,9]],"date-time":"2022-02-09T15:02:43Z","timestamp":1644418963000},"page":"1731-1738","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Iterative missing data recovery algorithm for non-stationary signals"],"prefix":"10.1007","volume":"16","author":[{"given":"Nabeel Ali","family":"Khan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6278-2349","authenticated-orcid":false,"given":"Naveed R.","family":"Butt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andreas","family":"Jakobsson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,2,9]]},"reference":[{"issue":"8","key":"2128_CR1","doi-asserted-by":"publisher","first-page":"3175","DOI":"10.1007\/s00034-018-0814-8","volume":"37","author":"N Ali Khan","year":"2018","unstructured":"Ali Khan, N., Mohammadi, M.: Reconstruction of non-stationary signals with missing samples using time-frequency filtering. Circuits Syst. Signal Process. 37(8), 3175\u20133190 (2018)","journal-title":"Circuits Syst. Signal Process."},{"key":"2128_CR2","doi-asserted-by":"crossref","unstructured":"Amin, V.S., Zhang, Y.D., Himed, B.: Sequential time-frequency signature estimation of multi-component FM signals. In: 2019 53rd Asilomar Conference on Signals, Systems, and Computers, pp. 1901\u20131905 (2019)","DOI":"10.1109\/IEEECONF44664.2019.9048988"},{"key":"2128_CR3","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.sigpro.2018.09.028","volume":"155","author":"VS Amin","year":"2019","unstructured":"Amin, V.S., Zhang, Y.D., Himed, B.: Sparsity-based time-frequency representation of FM signals with burst missing samples. Signal Process. 155, 25\u201343 (2019)","journal-title":"Signal Process."},{"key":"2128_CR4","doi-asserted-by":"crossref","unstructured":"Amin, V.S., Zhang, Y.D., Himed, B.: Improved if estimation of multi-component FM signals through iterative adaptive missing data recovery. In: 2020 IEEE Radar Conference (RadarConf20), pp. 1\u20136 (2020)","DOI":"10.1109\/RadarConf2043947.2020.9266471"},{"key":"2128_CR5","doi-asserted-by":"crossref","unstructured":"Amin, V.S., Zhang, Y.D., Himed, B.: Improved time-frequency representation of multi-component FM signals with compressed observations. In: 2020 54th Asilomar Conference on Signals, Systems, and Computers, pp. 1370\u20131374 (2020)","DOI":"10.1109\/IEEECONF51394.2020.9443566"},{"key":"2128_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.measurement.2016.02.018","volume":"86","author":"A Baccigalupi","year":"2016","unstructured":"Baccigalupi, A., Liccardo, A.: The Huang Hilbert transform for evaluating the instantaneous frequency evolution of transient signals in non-linear systems. Measurement 86, 1\u201313 (2016)","journal-title":"Measurement"},{"key":"2128_CR7","volume-title":"Time Frequency Analysis: A Comprehensive Reference","author":"B Boashash","year":"2003","unstructured":"Boashash, B.: Time Frequency Analysis: A Comprehensive Reference. Elsevier, Amsterdam (2003)"},{"issue":"3","key":"2128_CR8","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1109\/TASSP.1986.1164833","volume":"34","author":"G Boudreaux-Bartels","year":"1986","unstructured":"Boudreaux-Bartels, G., Parks, T.: Time-varying filtering and signal estimation using Wigner distribution synthesis techniques. IEEE Trans. Acoust. Speech Signal Process. 34(3), 442\u2013451 (1986)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"issue":"1","key":"2128_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13634-020-00673-8","volume":"2020","author":"V Bruni","year":"2020","unstructured":"Bruni, V., Tartaglione, M., Vitulano, D.: Radon spectrogram-based approach for automatic IFs separation. EURASIP J. Adv. Signal Process. 2020(1), 1\u201321 (2020)","journal-title":"EURASIP J. Adv. Signal Process."},{"issue":"12","key":"2128_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/math8122170","volume":"8","author":"V Bruni","year":"2020","unstructured":"Bruni, V., Tartaglione, M., Vitulano, D.: A signal complexity-based approach for AM-FM signal modes counting. Mathematics 8(12), 1\u201333 (2020)","journal-title":"Mathematics"},{"issue":"3","key":"2128_CR11","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1109\/LSP.2018.2795554","volume":"25","author":"I Djurovic","year":"2018","unstructured":"Djurovic, I.: QML-RANSAC instantaneous frequency estimator for overlapping multicomponent signals in the time-frequency plane. IEEE Signal Process. Lett. 25(3), 447\u2013451 (2018)","journal-title":"IEEE Signal Process. Lett."},{"key":"2128_CR12","doi-asserted-by":"crossref","unstructured":"Djurovic, I., Jubisa Stankovic, L.: An algorithm for the Wigner distribution based instantaneous frequency estimation in a high noise environment. Signal Process. 84(3), 631\u2013643 (2004)","DOI":"10.1016\/j.sigpro.2003.12.006"},{"issue":"3","key":"2128_CR13","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1109\/TSP.2013.2288675","volume":"62","author":"K Dragomiretskiy","year":"2013","unstructured":"Dragomiretskiy, K., Zosso, D.: Variational mode decomposition. IEEE Trans. Signal Process. 62(3), 531\u2013544 (2013)","journal-title":"IEEE Trans. Signal Process."},{"key":"2128_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.sigpro.2021.108131","volume":"186","author":"X Hu","year":"2021","unstructured":"Hu, X., Peng, S., Guo, B., Xu, P.: Accurate AM-FM signal demodulation and separation using nonparametric regularization method. Signal Process. 186, 1\u201312 (2021)","journal-title":"Signal Process."},{"issue":"3","key":"2128_CR15","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1007\/s00034-017-0603-9","volume":"37","author":"NA Khan","year":"2018","unstructured":"Khan, N.A., Ali, S.: Sparsity-aware adaptive directional time-frequency distribution for source localization. Circuits Syst. Signal Process. 37(3), 1223\u20131242 (2018)","journal-title":"Circuits Syst. Signal Process."},{"key":"2128_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.sigpro.2020.107728","volume":"177","author":"NA Khan","year":"2020","unstructured":"Khan, N.A., Ali, S.: A robust and efficient instantaneous frequency estimator of multi-component signals with intersecting time-frequency signatures. Signal Process. 177, 1\u20136 (2020)","journal-title":"Signal Process."},{"key":"2128_CR17","doi-asserted-by":"publisher","first-page":"959","DOI":"10.1007\/s11045-021-00769-w","volume":"32","author":"NA Khan","year":"2021","unstructured":"Khan, N.A., Ali, S.: Multi-component instantaneous frequency estimation in mono-sensor and multi-sensor recordings with application to source localization. Multidimens. Syst. Signal Process. 32, 959\u2013973 (2021)","journal-title":"Multidimens. Syst. Signal Process."},{"key":"2128_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.sigpro.2019.107260","volume":"166","author":"NA Khan","year":"2020","unstructured":"Khan, N.A., Mokhtar, M., Isidora, S.: Sparse reconstruction based on iterative TF domain filtering and Viterbi based if estimation algorithm. Signal Process. 166, 1\u201312 (2020)","journal-title":"Signal Process."},{"key":"2128_CR19","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s11760-017-1143-2","volume":"12","author":"P Li","year":"2018","unstructured":"Li, P., Zhang, Q.-H.: An improved Viterbi algorithm for IF extraction of multicomponent signals. SIViP 12, 171\u2013179 (2018)","journal-title":"SIViP"},{"key":"2128_CR20","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/0005-1098(78)90005-5","volume":"14","author":"J Rissanen","year":"1978","unstructured":"Rissanen, J.: Modeling by shortest data description. Automatica 14, 465\u2013471 (1978)","journal-title":"Automatica"},{"key":"2128_CR21","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.dsp.2017.07.016","volume":"77","author":"E Sejdic","year":"2018","unstructured":"Sejdic, E., Orovic, I., Stankovic, S.: Compressive sensing meets time-frequency: an overview of recent advances in time-frequency processing of sparse signals. Digital Signal Process. 77, 22\u201335 (2018)","journal-title":"Digital Signal Process."},{"key":"2128_CR22","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.sigpro.2017.07.036","volume":"142","author":"I Stankovi\u0107","year":"2018","unstructured":"Stankovi\u0107, I., Ioana, C., Dakovi\u0107, M.: On the reconstruction of nonsparse time-frequency signals with sparsity constraint from a reduced set of samples. Signal Process. 142, 480\u2013484 (2018)","journal-title":"Signal Process."},{"issue":"3","key":"2128_CR23","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1049\/iet-spr.2013.0385","volume":"8","author":"L Stankovi\u0107","year":"2014","unstructured":"Stankovi\u0107, L., Dakovi\u0107, M., Vujovi\u0107, S.: Adaptive variable step algorithm for missing samples recovery in sparse signals. IET Signal Proc. 8(3), 246\u2013256 (2014)","journal-title":"IET Signal Proc."},{"issue":"3","key":"2128_CR24","doi-asserted-by":"publisher","first-page":"1206","DOI":"10.1007\/s00034-018-0909-2","volume":"38","author":"L Stankovi\u0107","year":"2019","unstructured":"Stankovi\u0107, L., Sejdi\u0107, E., Stankovi\u0107, S., Dakovi\u0107, M., Orovi\u0107, I.: A tutorial on sparse signal reconstruction and its applications in signal processing. Circuits Syst. Signal Process. 38(3), 1206\u20131263 (2019)","journal-title":"Circuits Syst. Signal Process."},{"key":"2128_CR25","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.sigpro.2013.07.002","volume":"94","author":"L Stankovic","year":"2014","unstructured":"Stankovic, L., Stankovic, S., Amin, M.: Missing samples analysis in signals for applications to L-estimation and compressive sensing. Signal Process. 94, 401\u2013408 (2014)","journal-title":"Signal Process."},{"issue":"4","key":"2128_CR26","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1109\/LSP.2009.2014114","volume":"16","author":"P Stoica","year":"2009","unstructured":"Stoica, P., Li, J., Ling, J.: Missing data recovery via a nonparametric iterative adaptive approach. IEEE Signal Process. Lett. 16(4), 241\u2013244 (2009)","journal-title":"IEEE Signal Process. Lett."},{"key":"2128_CR27","first-page":"1","volume":"125","author":"V Sucic","year":"2011","unstructured":"Sucic, V., Saulig, N., Boashash, B.: Estimating the number of components of a multicomponent nonstationary signal using the short-term time-frequency R\u00e9nyi entropy. EURASIP J. Adv. Signal Process. 125, 1\u201311 (2011)","journal-title":"EURASIP J. Adv. Signal Process."},{"key":"2128_CR28","first-page":"1","volume":"183","author":"T Xiaotong","year":"2021","unstructured":"Xiaotong, T., Sw\u00e4rd, J., Jakobsson, A., Li, F.: Estimating nonlinear chirp modes exploiting sparsity. Signal Process. 183, 1\u20138 (2021)","journal-title":"Signal Process."},{"key":"2128_CR29","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.neucom.2015.08.130","volume":"204","author":"S Yu","year":"2016","unstructured":"Yu, S., you, X., ou, W., Jiang, X., Zhao, K., Ziqi Zhu, mou, Y., Zhao, X.: STFT-like time frequency representations of nonstationary signal with arbitrary sampling schemes. Neurocomputing 204, 211\u2013221 (2016)","journal-title":"Neurocomputing"},{"issue":"1","key":"2128_CR30","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1109\/TAES.2014.130554","volume":"51","author":"H Zhang","year":"2015","unstructured":"Zhang, H., Bi, G., Yang, W., Razul, S.G.: IF estimation of FM signals based on time-frequency image. IEEE Trans. Aerosp. Electron. Syst. 51(1), 326\u2013343 (2015)","journal-title":"IEEE Trans. Aerosp. Electron. Syst."},{"key":"2128_CR31","doi-asserted-by":"crossref","unstructured":"Zhang, S., Zhang, Y.D.: Robust time\u2013frequency analysis of multiple FM signals with burst missing samples. IEEE Signal Process. Lett. 26(8), 1172\u20131176 (2019)","DOI":"10.1109\/LSP.2019.2922500"},{"key":"2128_CR32","doi-asserted-by":"publisher","first-page":"6171","DOI":"10.1109\/TSP.2020.3032234","volume":"68","author":"S Zhang","year":"2020","unstructured":"Zhang, S., Zhang, Y.D.: Low-rank Hankel matrix completion for robust time-frequency analysis. IEEE Trans. Signal Process. 68, 6171\u20136186 (2020)","journal-title":"IEEE Trans. Signal Process."},{"key":"2128_CR33","doi-asserted-by":"crossref","unstructured":"Zhu, X., Yang, H., Zhuosheng, Z., Gao, J., Liu, N.: Frequency-chirprate reassignment. Digit. Signal Process. 1\u201311 (2020)","DOI":"10.1016\/j.dsp.2020.102783"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-02128-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-021-02128-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-021-02128-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,10]],"date-time":"2022-08-10T19:58:41Z","timestamp":1660161521000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-021-02128-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,9]]},"references-count":33,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2022,10]]}},"alternative-id":["2128"],"URL":"https:\/\/doi.org\/10.1007\/s11760-021-02128-5","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,9]]},"assertion":[{"value":"14 June 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 November 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 December 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 February 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}