Reconfigurable Transform Architecture Multiple by Martuza Muhammad (4 results)

Taschenbuch. Condition: Neu. Reconfigurable Transform Architecture for Multiple Video Codecs | Implementation of a low cost unified integer DCT architecture for four video codec: AVS, VC-1, H.264/AVC and HEVC | Muhammad Ali Martuza (u. a.) | Taschenbuch | 80 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659480560 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a cost-shared architecture to compute multiple integer discrete cosine transform (Int-DCT) of four video codecs: AVS, VC-1, H.264/AVC and HEVC (under development). Based on the symmetric structure of the matrices and the similarity in matrix operation, we develop a generalized ''decompose and share'' algorithm to compute both 4x4 and 8x8 Int-DCT. The algorithm is later applied to the video codecs. The hardware share approach ensures maximum circuit reuse during the computation. The architecture is designed with only adders and shifters to reduce the hardware cost significantly. The design is implemented on FPGA and later synthesized in CMOS 0.18um technology. The results show significant reduction in hardware cost and meet the requirements of real time video coding applications. 80 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Martuza Muhammad AliMuhammad A. Martuza pursued his B.Sc. in ETE from North South University, Bangladesh (2009) and M.Sc. in ECE from University of Saskatchewan (2012). He is now conducting research on thin film transistors at Univ.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a cost-shared architecture to compute multiple integer discrete cosine transform (Int-DCT) of four video codecs: AVS, VC-1, H.264/AVC and HEVC (under development). Based on the symmetric structure of the matrices and the similarity in matrix operation, we develop a generalized ¿¿decompose and share¿¿ algorithm to compute both 4x4 and 8x8 Int-DCT. The algorithm is later applied to the video codecs. The hardware share approach ensures maximum circuit reuse during the computation. The architecture is designed with only adders and shifters to reduce the hardware cost significantly. The design is implemented on FPGA and later synthesized in CMOS 0.18um technology. The results show significant reduction in hardware cost and meet the requirements of real time video coding applications.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…