Titlebook: Spectral Analysis of Signals; The Missing Data Cas Yanwei Wang,Jian Li,Petre Stoica Book 2005 Springer Nature Switzerland AG 2005

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1932-1236 nd low sidelobes. In this book, we present these algorithms for both one-dimensional and two-dimensional spectral estimation problems.978-3-031-01397-3978-3-031-02525-9Series ISSN 1932-1236 Series E-ISSN 1932-1694

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Synthesis Lectures on Signal Processinghttp://image.papertrans.cn/s/image/873815.jpg

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978-3-031-01397-3Springer Nature Switzerland AG 2005

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Introduction,ing, radar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in a wide range of applications. For example, sensor failure or out

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温室

1932-1236 dical imaging, radar, sonar, and underwater acoustics. Most existing spectral estimation algorithms are devised for uniformly sampled complete-data sequences. However, the spectral estimation for data sequences with missing samples is also important in many applications ranging from astronomical tim

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Mechanism of Interaction of Nanomaterial and Microbes to Treat Emerging Pollutants,l environment (soil, water, and air) and also a probable threat to human beings. A number of these emerging pollutants are not yet synchronized at national and international levels. Ancient techniques have failed in emerging these toxic pollutants from the air, water, and soil as a consequence a ver

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Personality Disorders and ASD,ions that could present with similar symptomatology. For instance, PD belonging to cluster A (i.e., schizoid or schizotypal) share with high-functioning ASD the presence of odd behaviors and social withdrawal, while cluster B PD may present dysregulation in emotional expressivity, as well as self-in