{"product_id":"online-learning-and-adaptive-filters-9781108842129","title":"Online Learning and Adaptive Filters","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis text discusses new strategies for tackling challenges in online learning and adaptive signal processing,such as combining data from multiple sensors, improving spectral usage, and learning from signals placed on graphs. It provides up-to-date techniques that can be implemented in simple electronic hardware or multi-purpose systems, and features alternative explanations for online learning, including newly developed methods and data selection. It is an ideal resource for graduate students, researchers, and professionals in these fields. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 300 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 08 December 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Cambridge University Press\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe ever-growing volume of data generated daily necessitates innovative approaches to address challenges such as:\u003cbr\u003e\u003cbr\u003e- Combining data from numerous sensors\u003cbr\u003e- Enhancing spectral utilization through the use of multiple antennas with adaptive capabilities\u003cbr\u003e- Learning from signals represented on graphs, resulting in the generation of unstructured data\u003cbr\u003e\u003cbr\u003eSolutions to these and other complex problems are presented in a concise and cohesive manner, enabling efficient extraction of valuable information from data and signals. The techniques explained in this book are up-to-date and can be implemented in straightforward electronic hardware or as part of versatile multi-purpose systems. Additionally, alternative explanations for online learning, including newly developed methods and data selection, are provided, along with several easily implemented algorithms. This unique book serves as an invaluable resource for graduate students, researchers, and professionals engaged in online learning and adaptive filtering.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 653g\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9781108842129\u003c\/p\u003e","brand":"Paulo S. R.Diniz,Marcello L. R.de Campos,Wallace A.Martins,Markus V. S.Lima,Jr, Jose A. Apolinario","offers":[{"title":"Hardback","offer_id":44095053791482,"sku":"9781108842129","price":84.91,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1671204219530_book.jpg?v=1671523786","url":"https:\/\/shulphink.com\/products\/online-learning-and-adaptive-filters-9781108842129","provider":"Shulph Ink","version":"1.0","type":"link"}