{"_id":"XimtNvZ3sJByMuQWC","bibbaseid":"efstratiadis-katsaggelos-formulaforthesteadystategainofarecursiveestimator-1990","author_short":["Efstratiadis, S.","Katsaggelos, A."],"bibdata":{"bibtype":"article","type":"article","abstract":"A formula for the direct computation of the steady-state gain of a recursive estimator is derived. The estimator is presented as a general 3-D recursive filter for noise smoothing of 3-D wide-sense Markov fields. The 1-D and 2-D estimators are special cases of the general filter presented. The filter with its steady-state gain computed from the derived formula is very useful because of its computational efficiency. © 1990, The Institution of Electrical Engineers. All rights reserved.","author":[{"propositions":[],"lastnames":["Efstratiadis"],"firstnames":["S.N."],"suffixes":[]},{"propositions":[],"lastnames":["Katsaggelos"],"firstnames":["A.K."],"suffixes":[]}],"doi":"10.1049/el:19901076","issn":"00135194","journal":"Electronics Letters","keywords":"Image processing,Markov fields,Recursive estimation","number":"20","pages":"1682","publisher":"IET Digital Library","title":"Formula for the steady-state gain of a recursive estimator","url":"https://digital-library.theiet.org/content/journals/10.1049/el_19901076","volume":"26","year":"1990","bibtex":"@article{efstratiadis1990formula,\nabstract = {A formula for the direct computation of the steady-state gain of a recursive estimator is derived. The estimator is presented as a general 3-D recursive filter for noise smoothing of 3-D wide-sense Markov fields. The 1-D and 2-D estimators are special cases of the general filter presented. The filter with its steady-state gain computed from the derived formula is very useful because of its computational efficiency. {\\textcopyright} 1990, The Institution of Electrical Engineers. All rights reserved.},\nauthor = {Efstratiadis, S.N. and Katsaggelos, A.K.},\ndoi = {10.1049/el:19901076},\nissn = {00135194},\njournal = {Electronics Letters},\nkeywords = {Image processing,Markov fields,Recursive estimation},\nnumber = {20},\npages = {1682},\npublisher = {IET Digital Library},\ntitle = {{Formula for the steady-state gain of a recursive estimator}},\nurl = {https://digital-library.theiet.org/content/journals/10.1049/el_19901076},\nvolume = {26},\nyear = {1990}\n}\n","author_short":["Efstratiadis, S.","Katsaggelos, A."],"key":"efstratiadis1990formula","id":"efstratiadis1990formula","bibbaseid":"efstratiadis-katsaggelos-formulaforthesteadystategainofarecursiveestimator-1990","role":"author","urls":{"Paper":"https://digital-library.theiet.org/content/journals/10.1049/el_19901076"},"keyword":["Image processing","Markov fields","Recursive estimation"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"https://sites.northwestern.edu/ivpl/files/2023/06/IVPL_Updated_publications-1.bib","dataSources":["ePKPjG8C6yvpk4mEK","ya2CyA73rpZseyrZ8","37Qfzv6wRptYkoSCL","zFPgsTDAW8aDnb5iN","E6Bth2QB5BYjBMZE7","nbnEjsN7MJhurAK9x","PNQZj6FjzoxxJk4Yi","7FpDWDGJ4KgpDiGfB","bod9ms4MQJHuJgPpp","QR9t5P2cLdJuzhfzK","D8k2SxfC5dKNRFgro","7Dwzbxq93HWrJEhT6","qhF8zxmGcJfvtdeAg","fvDEHD49E2ZRwE3fb","H7crv8NWhZup4d4by","DHqokWsryttGh7pJE","vRJd4wNg9HpoZSMHD","sYxQ6pxFgA59JRhxi","w2WahSbYrbcCKBDsC","XasdXLL99y5rygCmq","3gkSihZQRfAD2KBo3","t5XMbyZbtPBo4wBGS","bEpHM2CtrwW2qE8FP","teJzFLHexaz5AQW5z"],"keywords":["image processing","markov fields","recursive estimation"],"search_terms":["formula","steady","state","gain","recursive","estimator","efstratiadis","katsaggelos"],"title":"Formula for the steady-state gain of a recursive estimator","year":1990}