Titlebook: Smartphone-Based Real-Time Digital Signal Processing, Third Edition; Nasser Kehtarnavaz,Abhishek Sehgal,Arian Azarang Book 2020Latest edit

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Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangediction errors as parameters that significantly distinguish ictal from non-ictal activity. We suppress seizure-related activity by modeling EEG signal acquisition as a cocktail party problem and obtaining seizure-related activity using Independent Component Analysis. Following recent studies intric

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Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangnt protocols, and text documents. Such systems should be able to retrieve these sources by content. That requires specific retrieval and indexing strategies for images and signals. Higher quali978-3-540-66599-1978-3-540-48097-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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1932-1236 rithms in real-time considering that these days nearly all students possess smartphones. Changing the hardware platforms that are currently used in applied or r978-3-031-01415-4978-3-031-02543-3Series ISSN 1932-1236 Series E-ISSN 1932-1694

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Smartphone-Based Real-Time Digital Signal Processing, Third Edition

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Nasser Kehtarnavaz,Abhishek Sehgal,Shane Parris,Arian Azarangctively high classification accuracy alongside a minimal computational use. We conduct our proposed technique using three state-of-the-art datasets: WHU-RS Dataset, UCMerced Land Use Dataset, and Brazilian Coffee Scenes Dataset. The proposed technique results in enhancing the accuracy performance, i

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