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The invention provides a high ash fine grain coal slurry separation equipment and method which areapplicable to the field of coal washing. The separation equipment comprises four parts, specifically afeeding system, a mineralization system, a separation system and a pulse water flow control system. The equipment is characterized in that a coal slurry mineralization area is separated from a separation area, and the ore separation system is internally provided with a damping block and a pulse water flow device. Flotation materials are fed into the feeding system, the size mixing operation is completed, coal slurry subjected to size mixing enters the mineralization system to be subjected to turbulent collision, mineralized bubbles are formed, the mineralized bubbles enter the separation system after passing through a disorder eliminating pipe, meanwhile the pulse water flow control system supplies the separation system with pulse water flows with certain frequency and waveform, the finecoal ash content is lowered, and the coal slurry separation selectivity is improved. Recycling of low ash coarse particles is effectively improved, high ash thin slurry carried by water flow and the thin slurry covering the surface of the particles are beneficially reduced by means of the damping block and the pulse water flow effect, and the separation selectivity is improved. The equipment has high coal slurry adaptability on different coal qualities, the separation effect is good, the separation efficiency is high, the production operation cost is low, and the economical benefit is outstanding.

The invention is made in the field of image block encoding and reconstruction. A method for reconstructing a current block of an image is described, the current block being encoded using predictive encoding of segments resulting from geometry adaptive block partitioning of said current block. After decoding encoded data comprising at least one flag and motion vectors, wherein blocks referenced by the motion vectors are used for prediction of segments of the current block, the at least one flag and an encoding order of the motion vectors in the encoded data is used for determining which of the referenced blocks exhibits a geometry that matches the geometry of the current block and for determining a segment of the determined block, wherein prior to determining the segment, the determined block is geometry adaptive block partitioned into segments from which the segment is determined for predicting one of the segments of the current block.

The invention is made in the field of image block encoding and reconstruction. A method for reconstructing a current block of an image is described, the current block being encoded using predictive encoding of segments resulting from geometry adaptive block partitioning of said current block. After decoding encoded data comprising at least one flag and motion vectors, wherein blocks referenced by the motion vectors are used for prediction of segments of the current block, the at least one flag and an encoding order of the motion vectors in the encoded data is used for determining which of the referenced blocks exhibits a geometry that matches the geometry of the current block and for determining a segment of the determined block, wherein prior to determining the segment, the determined block is geometry adaptive block partitioned into segments from which the segment is determined for predicting one of the segments of the current block.