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Ljubisa Stankovic – författare

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4 produkter

  1. Ervin Sejdic, Ljubisa Stankovic - Vertex-Frequency Analysis of Graph Signals, E-bok. Tillgänglighet: Lägg i varukorg

    Vertex-Frequency Analysis of Graph Signals

    Av Ervin Sejdic, Ljubisa Stankovic

    E-bok, 2018

    2224 kr

    Lägg i varukorg

    This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or …

  2. Ljubiša Stanković, Ervin Sejdić - Vertex-Frequency Analysis of Graph Signals, Inbunden. Tillgänglighet: Lägg i varukorg

    Vertex-Frequency Analysis of Graph Signals

    Av Ljubiša Stanković, Ervin Sejdić

    Inbunden, 2026

    2161 kr

    Lägg i varukorg

    This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data-sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or …

  3. Ervin Sejdic, Ljubisa Stankovic - Vertex-Frequency Analysis of Graph Signals, E-bok. Tillgänglighet: Lägg i varukorg

    Vertex-Frequency Analysis of Graph Signals

    Av Ervin Sejdic, Ljubisa Stankovic

    E-bok, 2026

    2925 kr

    Lägg i varukorg

    This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data-sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or …

  4. Ljubiša Stanković, Ervin Sejdić - Vertex-Frequency Analysis of Graph Signals, Inbunden. Tillgänglighet: Tillfälligt slut

    Vertex-Frequency Analysis of Graph Signals

    Av Ljubiša Stanković, Ervin Sejdić

    Inbunden, 2018

    2133 kr

    Tillfälligt slut

    This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or …