Treffer 1 - 6 von 6 für Suche 'Kopperundevi, P.', Suchdauer: 0,46s Treffer weiter einschränken
  1. 1
    A high throughput hardware architecture for deblocking filter in HEVC

    A high throughput hardware architecture for deblocking filter in HEVC von Kopperundevi, P., Prakash, Matcha Surya, Ahamed, Shaik Rafi


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  2. 2
    Multiplier Design for the Modulo Set 2n-1,2n,2n+1-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\left\{ {2^{n} - 1,2^{n} ,2^{n + 1} - 1} \right\}$$\end{document} and Its Application in DCT for HEVC

    Multiplier Design for the Modulo Set 2n-1,2n,2n+1-1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{am... von Kopperundevi, P., Prakash, M. Surya


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  3. 3
    Methods to develop high throughput hardware architectures for HEVC Deblocking Filter using mixed pipelined-block processing techniques

    Methods to develop high throughput hardware architectures for HEVC Deblocking Filter using mixed pipelined-block processing techniques von Kopperundevi, P., Prakash, M. Surya

    Veröffentlicht in Microelectronics

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  4. 4
    Ovulation Inducing Activity in PCOD Induced Female Wister Albino Rats and In vitro Studies of Free Radical Scavenging Activity of Kadugurogini chooranam (Picrorhiza scrophulariiflora)

    Ovulation Inducing Activity in PCOD Induced Female Wister Albino Rats and In vitro Studies of Free Radical Scavenging Activity of Kadugurogini chooranam (Picrorhiza scrophulariiflo... von Kayalvizhi, S, Kopperundevi, SP, Dhineshraman, G


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  5. 5
    An effective reconstructed pyramid crosspoint fusion for multimodal infrared and visible images

    An effective reconstructed pyramid crosspoint fusion for multimodal infrared and visible images von Murugeswari, P., Kopperundevi, N., Annalakshmi, M., Clarinda, S. Scinthia


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  6. 6
    Nature-inspired MPPT algorithms for solar PV and fault classification using deep learning techniques

    Nature-inspired MPPT algorithms for solar PV and fault classification using deep learning techniques von Senthilkumar, S., Mohan, V., Mangaiyarkarasi, S. P., Raj, R. Gandhi, Kalaivani, K., Kopperundevi, N., Chinnadurai, M., Srinivasan, M. Nuthal, Ramachandran, L.

    Veröffentlicht in Discover applied sciences

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