2,578 research outputs found

    Towards flexible hardware/software encoding using H.264

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    As the electronics world continues to expand, bringing smaller and more portable devices to consumers, demands for media access continue to rise. Consumers are seeking the ability to view the wealth of information available on the Internet from devices such as smart phones, tablets, and music players. In addition to Internet browsing, smart phones and tablets in particular look to reinvent phone communication by adding video chat through services such as Skype and FaceTime. Bringing video to mobile platforms requires trade-offs between size, channel capacity, hardware cost, quality, loading times and power consumption. H.264, the current standard for video encoding specifies multiple profiles to support different modes of operation and environments. Creating an H.264 video encoder for a mobile platform requires a proper balance between the aforementioned trade-offs while maintaining flexibility in a real time environment such as video chatting. The goal of this thesis was to investigate the trade-offs of implementing the H.264 Baseline encoding process specifically at low bit rates in hardware and software using Field Programmable Gate Array (FPGA) reconfigurable resources with an embedded processor core on the same chip. To further preserve encoding flexibility, existing encoding parameters were left intact. The Joint Model (JM) Reference encoder modified to include only the Baseline Profile was used as an initial reference point to evaluate the efficacy of the finished encoder. To improve upon the initial software implementation, major software bottlenecks were identified and hardware accelerators were designed aimed at producing a speedup capable of encoding 176x144 or Quarter Common Intermediate Format (QCIF) videos in real-time at 24 Frames Per Second (FPS) or greater. Finally, the hardware/software implementation was analyzed in comparison with the original JM Reference software encoder. This analysis included FPS, bit rate, encoding time, luminance Peak Signal-to-Noise Ratio (Y-PSNR) and associated hardware costs

    Holographic Geometry and Noise in Matrix Theory

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    Using Matrix Theory as a concrete example of a fundamental holographic theory, we show that the emergent macroscopic spacetime displays a new macroscopic quantum structure, holographic geometry, and a new observable phenomenon, holographic noise, with phenomenology similar to that previously derived on the basis of a quasi-monochromatic wave theory. Traces of matrix operators on a light sheet with a compact dimension of size RR are interpreted as transverse position operators for macroscopic bodies. An effective quantum wave equation for spacetime is derived from the Matrix Hamiltonian. Its solutions display eigenmodes that connect longitudinal separation and transverse position operators on macroscopic scales. Measurements of transverse relative positions of macroscopically separated bodies, such as signals in Michelson interferometers, are shown to display holographic nonlocality, indeterminacy and noise, whose properties can be predicted with no parameters except RR. Similar results are derived using a detailed scattering calculation of the matrix wavefunction. Current experimental technology will allow a definitive and precise test or validation of this interpretation of holographic fundamental theories. In the latter case, they will yield a direct measurement of RR independent of the gravitational definition of the Planck length, and a direct measurement of the total number of degrees of freedom.Comment: 19 pages, 2 figures; v2: factors of Planck mass written explicitly, typos correcte
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