| 书目名称 | New Digital Signal Processing Methods | | 副标题 | Applications to Meas | | 编辑 | Raoul R. Nigmatullin,Paolo Lino,Guido Maione | | 视频video | http://file.papertrans.cn/666/665062/665062.mp4 | | 概述 | Decreases the gap between the mathematicians-statisticians and a broad group of experimentalists, who lacks an adequate theoretical background in data analysis and processing.Gives a clear and step-by | | 图书封面 |  | | 描述 | .This book is intended as a manual on modern advanced statistical methods for signal processing. The objectives of signal processing are the analysis, synthesis, and modification of signals measured from different natural phenomena, including engineering applications as well. Often the measured signals are affected by noise, distortion and incompleteness, and this makes it difficult to extract significant signal information. The main topic of the book is the extraction of significant information from measured data, with the aim of reducing the data size while keeping the basic information/knowledge about the peculiarities and properties of the analyzed system; to this aim, advanced and recently developed methods in signal analysis and treatment are introduced and described in depth. More in details, the book covers the following new advanced topics (and the corresponding algorithms), including detailed descriptions and discussions: the Eigen-Coordinates (ECs) method, The statistics of the fractional moments, The quantitative "universal" label (QUL) and the universal distribution function for the relative fluctuations (UDFRF), the generalized Prony spectrum, the Non-orthogonal Ampli | | 出版日期 | Book 2020 | | 关键词 | Signal analysis; Data fitting; Optimal linear smoothing; Eigen-Coordinates; Reduced fractal models; Nonpa | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-45359-6 | | isbn_softcover | 978-3-030-45361-9 | | isbn_ebook | 978-3-030-45359-6 | | copyright | Springer Nature Switzerland AG 2020 |
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