{"product_id":"9781394207442-signal-processing-an-applied-decomposi","title":"Signal Processing","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eAn Applied Decomposition Approach\u003cbr\u003e\u003cp\u003e\u003cb\u003eSeparate signals from noise with this valuable introduction to signal processing by applied decomposition\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe decomposition of complex signals into the sub-signals, or individual components, is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually, enables the signal to be isolated from noise, and processed in full. Decomposition processes have not always been widely adopted due to the difficult underlying mathematics and complex applications. This text simplifies these obstacles. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSignal Processing: An Applied Decomposition Approach\u003c\/i\u003e demystifies these tools from a model-based perspective. This offers a mathematically informed, “step-by-step” analysis of the process by breaking down a composite signal\/system into its constituent parts, while introducing both fundamental concepts and advanced applications. This comprehensive approach addresses each of the major decomposition techniques, making it an indispensable addition to any library specializing in signal processing. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eSignal Processing \u003c\/i\u003ereaders will find: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSignal decomposition techniques developed from the data-based, spectral-based and model-based perspectives incorporate: statistical approaches (PCA, ICA, Singular Spectrum); spectral approaches (MTM, PHD, MUSIC); and model-based approaches (EXP, LATTICE, SSP)\u003c\/li\u003e\n\u003cli\u003eIn depth discussion of topics includes signal\/system estimation and decomposition, time domain and frequency domain techniques, systems theory, modal decompositions, applications and many more \u003c\/li\u003e\n\u003cli\u003eNumerous figures, examples, and tables illustrating key concepts and algorithms are developed throughout the text \u003c\/li\u003e\n\u003cli\u003eIncludes problem sets, case studies, real-world applications as well as MATLAB notes highlighting applicable commands\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eSignal Processing\u003c\/i\u003e is ideal for engineering and scientific professionals, as well as graduate students seeking a focused text on signal\/system decomposition with performance metrics and real-world applications.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":54866721702262,"sku":"9781394207442","price":148.27,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_31847532.jpg?v=1734636533","url":"https:\/\/www.rarewaves.com\/products\/9781394207442-signal-processing-an-applied-decomposi","provider":"Rarewaves.com","version":"1.0","type":"link"}