{"id":40273,"date":"2015-11-23T23:52:11","date_gmt":"2015-11-23T23:52:11","guid":{"rendered":"http:\/\/ahay.org\/blog\/?p=40273"},"modified":"2015-11-24T22:51:14","modified_gmt":"2015-11-24T22:51:14","slug":"selective-hybrid-approach-using-f-x-emd","status":"publish","type":"post","link":"https:\/\/ahay.org\/blog\/2015\/11\/23\/selective-hybrid-approach-using-f-x-emd\/","title":{"rendered":"Selective hybrid approach using f-x EMD"},"content":{"rendered":"<p>A new paper is added to the <a href=\"\/wiki\/Reproducible_Documents\">collection of reproducible documents<\/a>: <a href=\"\/RSF\/book\/tccs\/shemd\/paper_html\/\">Random noise attenuation by a selective hybrid approach using f-x empirical mode decomposition<\/a><\/p>\n<p><img decoding=\"async\" src=\"\/RSF\/book\/tccs\/shemd\/hyperoil\/Fig\/hyper-traces.png\" alt=\"\" title=\"\" \/> <\/p>\n<blockquote>\n<p>Empirical mode decomposition (EMD) becomes attractive recently for random noise attenuation because of its convenient implementation and ability in dealing with non-stationary seismic data. In this paper, we summarize the existing use of EMD in seismic data denoising and introduce a general hybrid scheme which combines $f-x$ EMD with a dipping-events retrieving operator. The novel hybrid scheme can achieve a better denoising performance compared with the conventional $f-x$ EMD and selected dipping event retriever. We demonstrate the strong horizontal-preservation capability of $f-x$ EMD that makes the EMD based hybrid approach attractive. When $f-x$ EMD is applied to a seismic profile, all the horizontal events will be preserved, while leaving few dipping events and random noise in the noise section, which can be dealt with easily by applying a dipping-events retrieving operator to a specific region for preserving the useful dipping signal. This type of incomplete hybrid approach is termed as selective hybrid approach. Two synthetic and one post-stack field data examples demonstrate a better performance of the proposed approach.<\/p>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>A new paper is added to the collection of reproducible documents: Random noise attenuation by a selective hybrid approach using f-x empirical mode decomposition Empirical mode decomposition (EMD) becomes attractive recently for random noise attenuation because of its convenient implementation and ability in dealing with non-stationary seismic data. In this paper, we summarize the existing [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","activitypub_content_warning":"","activitypub_content_visibility":"local","activitypub_max_image_attachments":4,"activitypub_interaction_policy_quote":"","footnotes":""},"categories":[5],"tags":[],"class_list":["post-40273","post","type-post","status-publish","format-standard","hentry","category-documentation"],"_links":{"self":[{"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/posts\/40273","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/comments?post=40273"}],"version-history":[{"count":2,"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/posts\/40273\/revisions"}],"predecessor-version":[{"id":40278,"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/posts\/40273\/revisions\/40278"}],"wp:attachment":[{"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/media?parent=40273"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/categories?post=40273"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ahay.org\/blog\/wp-json\/wp\/v2\/tags?post=40273"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}