{"product_id":"advanced-signal-processing-a-concise-guide-hardcover-3","title":"Advanced Signal Processing: A Concise Guide - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAmir-Homayoon Najmi\u003c\/b\u003e (Author), \u003cb\u003eTodd Moon\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePublisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA comprehensive introduction to the mathematical principles and algorithms in statistical signal processing and modern neural networks. \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis text is an expanded version of a graduate course on advanced signal processing at the Johns Hopkins University Whiting school program for professionals with students from electrical engineering, physics, computer and data science, and mathematics backgrounds. It covers the theory underlying applications in statistical signal processing including spectral estimation, linear prediction, adaptive filters, and optimal processing of uniform spatial arrays. Unique among books on the subject, it also includes a comprehensive introduction to modern neural networks with examples in time series prediction and image classification. \u003c\/p\u003e\u003cp\u003eCoverage includes: \u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMathematical structures of signal spaces and matrix factorizations\u003c\/li\u003e\n\u003cli\u003elinear time-invariant systems and transforms\u003c\/li\u003e\n\u003cli\u003eLeast squares filters\u003c\/li\u003e\n\u003cli\u003eRandom variables, estimation theory, and random processes\u003c\/li\u003e\n\u003cli\u003eSpectral estimation and autoregressive signal models\u003c\/li\u003e\n\u003cli\u003elinear prediction and adaptive filters\u003c\/li\u003e\n\u003cli\u003eOptimal processing of linear arrays\u003c\/li\u003e\n\u003cli\u003eNeural networks\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eNajmi and Moon's book helps fill a long-standing gap in graduate-level textbooks on signal processing, which typically cover either classical methods only, or are more akin to research monographs and specialized to narrower topics. I have been looking for a more broad treatment that covers both the old and the new under one roof,\" with sufficient mathematical rigor but without diving too deep into details that might discourage students along the way. This is the best book I have found that meets these goals--it's both comprehensive and comprehensible, written at the right level for the graduate student population in my courses.\"\u003cbr\u003e\u003cb\u003e--A. Lee Swindlehurst\u003c\/b\u003e, Professor, Dept. of Electrical Engineering \u0026amp; Computer Science, \u003cbr\u003eHenry Samueli School of Engineering \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\"An excellent resource for all signal processing practitioners and students. The authors have successfully brought together in one place a diverse collection of essential signal analysis techniques that must be part of every engineer's tool set.\"\u003cbr\u003e\u003cb\u003e--V John Mathews\u003c\/b\u003e, Professor, School of Electrical Engineering \u0026amp; Computer Science, Oregon State University \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAmir-Homayoon Najmi, Ph.D., \u003c\/strong\u003e was a Fulbright scholar at the Relativity Centre, University of Texas. He has published research in wide areas including quantum field theory in cosmological space-times, seismic inverse scattering, adaptive signal processing applied to electromagnetic waves and biosurveillance.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTodd Moon, Ph.D., \u003c\/strong\u003e is head of the Electrical and Computer Engineering Department at Utah State University. He has been published extensively on digital communications theory and signal processing. \u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.6 x 7.3 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 03, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47393675641081,"sku":"9781260458930","price":157.14,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/v1K-0NIk1j9781260458930_c438de9f-0e8c-41de-ad53-3dc697a40ec4.webp?v=1770249390","url":"https:\/\/bookscloud.io\/products\/advanced-signal-processing-a-concise-guide-hardcover-3","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}