LIBROS DEL AUTOR: junjie wu

5 resultados para LIBROS DEL AUTOR: junjie wu

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  • Bistatic SAR Clutter Suppression
    Jianyu Yang / Junjie Wu / Zhongyu Li
    This book reports the latest results in the study of clutter suppression and signal processing techniques and focuses on the analysis of non-stationary characteristics of bistatic SAR clutter, DPCA-based clutter suppression method, optimization-based clutter suppression method, sparse recovery-based clutter suppression method, experimental verification and many other aspects, i...
    Disponible

    74,30 €

  • Bistatic SAR Clutter Suppression
    Jianyu Yang / Junjie Wu / Zhongyu Li
    This book reports the latest results in the study of clutter suppression and signal processing techniques and focuses on the analysis of non-stationary characteristics of bistatic SAR clutter, DPCA-based clutter suppression method, optimization-based clutter suppression method, sparse recovery-based clutter suppression method, experimental verification and many other aspects, i...
    Disponible

    72,95 €

  • Advances in K-means Clustering
    Junjie Wu
    Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this 'old' algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, ...
    Disponible

    135,95 €

  • Oxford Handbook of Land Economics
    Junjie Wu
    What do economists know about land-and how they know? The Oxford Handbook of Land Economics describes the latest developments in the fields of economics that examine land, including natural resource economics, environmental economics, regional science, and urban economics. The handbook argues, first, that land is a theme that integrates these fields and second, that productive ...
    Disponible

    256,36 €

  • Advances in K-means Clustering
    Junjie Wu
    Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this 'old' algorithm. This book addresses these challenges and makes novel contributions in establishing theoretical frameworks for K-means distances and K-means based consensus clustering, ...
    Disponible

    134,60 €