{"product_id":"sparsity-measures-and-their-signal-processing-applications-for-machine-condition-monitoring-9780443334863","title":"Sparsity Measures and Their Signal Processing Applications for Machine Condition Monitoring","description":"\u003cp\u003e • Author(s): Dong Wang | Bingchang Hou\u003cbr\u003e • Publisher: Elsevier\u003cbr\u003e • Publisher Imprint: Elsevier\u003cbr\u003e • BISAC: Mechanical\u003c\/p\u003e\u003cp\u003e\u003ci\u003eSparsity Measures and their Signal Processing Applications for Machine Condition Monitoring\u003c\/i\u003e presents newly designed sparsity measures and their advanced signal processing technologies for machine condition monitoring and fault diagnosis. This book systematically covers new sparsity measures including a quasiarithmetic mean ratio framework for fault signatures quantification, a generalized Gini index, as well as classic sparsity measures based on signal processing technologies and a cycle-embedded sparsity measure based on new impulsive mode decomposition technology. This book additionally includes a sparsity measure data-driven framework-based optimized weights spectrum theory and its relevant advanced signal processing technologies.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46415922888855,"sku":"9780443334863","price":17047.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780443334863.webp?v=1769061373","url":"https:\/\/atlanticbooks.com\/products\/sparsity-measures-and-their-signal-processing-applications-for-machine-condition-monitoring-9780443334863","provider":"Atlantic Books","version":"1.0","type":"link"}