{"product_id":"signal-processing-an-applied-decomposition-approach","title":"Signal Processing","description":"\u003cp\u003e\u003cb\u003eSeparate signals from noise with this valuable introduction to signal processing by applied decomposition\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThe decomposition of complex signals into their sub-signals or individual components is a crucial tool in signal processing. It allows each component of a signal to be analyzed individually and 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\u003cp\u003e\u003ci\u003eSignal Processing: An Applied Decomposition Approach\u003c\/i\u003e demystifies these tools with a model-based perspective. Addressing each major decomposition approach in turn, it offers a mathematically-informed step-by-step analysis of the process by which it breaks a composite signal\/system down into its constituent parts. Introducing both fundamental concepts and advanced applications, it is an indispensable addition to any library regarding signal processing. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eSignal Processing\u003c\/i\u003e readers will find: \u003c\/p\u003e\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","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":50066603606360,"sku":"9781394207442","price":127.99,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781394207442__67c1f3be7b871_d176dd02-ebfb-47dc-9045-89ba5c084018.jpg?v=1741159046","url":"https:\/\/agendabookshop.com\/products\/signal-processing-an-applied-decomposition-approach","provider":"Agenda Bookshop","version":"1.0","type":"link"}