Abstract: An example computer-implemented method for transmitting data from a downhole location to the earth's surface. The method includes sensing, with one or more sensors, sensor data downhole, the sensor data comprising a plurality of data value sets. The method further includes assigning at least one data value of each of the plurality of data value sets to each of a plurality of time levels or depth levels to generate a data block. The method further includes compressing, with a first processor in the drilling assembly, the data block by a block-based compression technique to generate compressed data. The method further includes transmitting, with a telemetry system, the compressed data from the downhole location to the surface. The method further includes decompressing, with a second processor at the surface, the compressed data to generate decompressed data values. The method further includes controlling the drilling assembly based on the decompressed data values.

Abstract: An example computer-implemented method for transmitting data from a downhole location to the earth's surface. The method includes sensing, with one or more sensors, sensor data downhole, the sensor data comprising a plurality of data value sets. The method further includes assigning at least one data value of each of the plurality of data value sets to each of a plurality of time levels or depth levels to generate a data block. The method further includes compressing, with a first processor in the drilling assembly, the data block by a block-based compression technique to generate compressed data. The method further includes transmitting, with a telemetry system, the compressed data from the downhole location to the surface. The method further includes decompressing, with a second processor at the surface, the compressed data to generate decompressed data values. The method further includes controlling the drilling assembly based on the decompressed data values.

Abstract: An example computer-implemented method for transmitting data from a downhole location to the earth's surface. The method includes sensing, with one or more sensors, sensor data downhole, the sensor data comprising a plurality of data value sets. The method further includes assigning at least one data value of each of the plurality of data value sets to each of a plurality of time levels or depth levels to generate a data block. The method further includes compressing, with a first processor in the drilling assembly, the data block by a block-based compression technique to generate compressed data. The method further includes transmitting, with a telemetry system, the compressed data from the downhole location to the surface. The method further includes decompressing, with a second processor at the surface, the compressed data to generate decompressed data values. The method further includes controlling the drilling assembly based on the decompressed data values.

Abstract: Standard video compression techniques apply motion-compensated prediction combined with transform coding of the prediction error. In the context of prediction with fractional-pel motion vector resolution it was shown, that aliasing components contained in an image signal are limiting the prediction efficiency obtained by motion compensation. In order to consider aliasing, quantization and motion estimation errors, camera noise, etc., we analytically developed a two dimensional (2D) non-separable interpolation filter, which is independently calculated for each frame by minimizing the prediction error energy. For every fractional-pel position to be interpolated, an individual set of 2D filter coefficients is determined. Since transmitting filter coefficients as side information results in an additional bit rate, which is almost constant for different image resolutions and total bit rates, the loss in coding gain increases when total bit rates sink.