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Binary Digit

The Experts below are selected from a list of 204 Experts worldwide ranked by ideXlab platform

C.o. Savage – 1st expert on this subject based on the ideXlab platform

  • Robust Target Tracking with Unreliable Binary Proximity Sensors
    2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
    Co-Authors: B.f. La Scala, C.o. Savage

    Abstract:

    This paper describes an algorithm for target tracking in a distributed network of Binary proximity sensors that is robust to sensor failures. Tracking with such sensors is a difficult problem as they only transmit a single Binary Digit regarding the presence of a target. The operational status of these sensors may also not be accurately known. This paper describes a Gaussian mixture-based tracking algorithm that addresses these two issues

B.f. La Scala – 2nd expert on this subject based on the ideXlab platform

  • Scheduling Binary Proximity Sensors for Robust Target Tracking
    2006 9th International Conference on Information Fusion, 2006
    Co-Authors: B.f. La Scala

    Abstract:

    This paper describes two scheduling algorithms designed to improve target tracking performance in a distributed network of Binary proximity sensors. Tracking with such sensors is a difficult problem as they only transmit a single Binary Digit regarding the presence of a target. In addition, the operational status of these sensors may not be accurately known. This paper describes extensions to a Gaussian mixture-based tracking algorithm which aid in addressing these problems. These extensions reduce computational complexity and improve accuracy by scheduling status queries to selected sensors

  • Robust Target Tracking with Unreliable Binary Proximity Sensors
    2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
    Co-Authors: B.f. La Scala, C.o. Savage

    Abstract:

    This paper describes an algorithm for target tracking in a distributed network of Binary proximity sensors that is robust to sensor failures. Tracking with such sensors is a difficult problem as they only transmit a single Binary Digit regarding the presence of a target. The operational status of these sensors may also not be accurately known. This paper describes a Gaussian mixture-based tracking algorithm that addresses these two issues

Corinne Mailhes – 3rd expert on this subject based on the ideXlab platform

  • Signed Binary Digit Representation to Simplify 3D-EZW
    2007 IEEE International Conference on Acoustics Speech and Signal Processing – ICASSP '07, 2007
    Co-Authors: Emmanuel Christophe, Pierre Duhamel, Corinne Mailhes

    Abstract:

    Zerotree based coders have shown a good ability to be successfully adapted to 3D image coding. This paper focuses on the adaptation of EZW for the compression of hyperspectral images with reduced complexity. The subordinate pass is removed so that the location of significant coefficients does not need to be kept in memory. To compensate the quality loss due to this removal, a signed Binary Digit representation is used to increase the efficiency of zerotrees. Contextual arithmetic coding with very limited contexts is also used. Finally, we show that this simplified version of 3D-EZW performs almost as well as the original one.

  • ICASSP (1) – Signed Binary Digit Representation to Simplify 3D-EZW
    2007 IEEE International Conference on Acoustics Speech and Signal Processing – ICASSP '07, 2007
    Co-Authors: Emmanuel Christophe, Pierre Duhamel, Corinne Mailhes

    Abstract:

    Zerotree based coders have shown a good ability to be successfully adapted to 3D image coding. This paper focuses on the adaptation of EZW for the compression of hyperspectral images with reduced complexity. The subordinate pass is removed so that the location of significant coefficients does not need to be kept in memory. To compensate the quality loss due to this removal, a signed Binary Digit representation is used to increase the efficiency of zerotrees. Contextual arithmetic coding with very limited contexts is also used. Finally, we show that this simplified version of 3D-EZW performs almost as well as the original one.

  • adaptation of zerotrees using signed Binary Digit representations for 3d image coding
    Eurasip Journal on Image and Video Processing, 2007
    Co-Authors: Emmanuel Christophe, Pierre Duhamel, Corinne Mailhes

    Abstract:

    Zerotrees of wavelet coefficients have shown a good adaptability for the compression of three-dimensional images. EZW, the original algorithm using zerotree, shows good performance and was successfully adapted to 3D image compression. This paper focuses on the adaptation of EZW for the compression of hyperspectral images. The subordinate pass is suppressed to remove the necessity to keep the significant pixels in memory. To compensate the loss due to this removal, signed Binary Digit representations are used to increase the efficiency of zerotrees. Contextual arithmetic coding with very limited contexts is also used. Finally, we show that this simplified version of 3D-EZW performs almost as well as the original one.