{"id":42730,"date":"2016-09-27T08:41:46","date_gmt":"2016-09-27T08:41:46","guid":{"rendered":"http:\/\/www.takbook.com\/best\/adaptive-magnitude-spectrum-algorithm-for-hilbert-huang-transform-based-frequency-identification\/"},"modified":"2016-09-27T08:41:46","modified_gmt":"2016-09-27T08:41:46","slug":"adaptive-magnitude-spectrum-algorithm-for-hilbert-huang-transform-based-frequency-identification","status":"publish","type":"post","link":"https:\/\/www.takbook.com\/best\/adaptive-magnitude-spectrum-algorithm-for-hilbert-huang-transform-based-frequency-identification\/","title":{"rendered":"Adaptive magnitude spectrum algorithm for Hilbert\u2013Huang transform based frequency identification"},"content":{"rendered":"
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Adaptive magnitude spectrum algorithm for Hilbert\u2013Huang transform based frequency identification<\/a><\/h3>\n

An innovative Hilbert–Huang transform (HHT) based frequency identification approach designated as adaptive magnitude spectrum algorithm(AMSA) is proposed in this paper. Characterized by the a posteriori property, the AMSA does not need the a priori information about the modalfrequencies to be identified, and the situations that a modal frequency may be contained along specific segments of the whole time duration ofone or more intrinsic mode functions (IMFs) are allowed for automatically in the resulting adaptive magnitude spectrum (AMS). The algorithmintroduces a banded frequency sweep procedure, during which a series of digital filters are designed to process the original signal. Then uponapplying HHT to the filtered signals, the forward weighted averages and the backward weighted…<\/p>\n

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Adaptive magnitude spectrum algorithm for Hilbert\u2013Huang transform based frequency identification An innovative Hilbert–Huang transform (HHT) based frequency identification approach designated as adaptive magnitude spectrum algorithm(AMSA) is proposed in this paper. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"amp_status":""},"categories":[209],"tags":[],"yoast_head":"\nAdaptive magnitude spectrum algorithm for Hilbert\u2013Huang transform based frequency identification - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.takbook.com\/best\/adaptive-magnitude-spectrum-algorithm-for-hilbert-huang-transform-based-frequency-identification\/\" \/>\n<meta property=\"og:locale\" content=\"fa_IR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Adaptive magnitude spectrum algorithm for Hilbert\u2013Huang transform based frequency identification - \u067e\u0631\u0648\u0698\u0647 \u0647\u0627\" \/>\n<meta property=\"og:description\" content=\"Adaptive magnitude spectrum algorithm for Hilbert\u2013Huang transform based frequency identification An innovative Hilbert–Huang transform (HHT) based frequency identification approach designated as adaptive magnitude spectrum algorithm(AMSA) is proposed in this paper. 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