Abstract: Provided is a method for preparing Rebaudioside M by using an enzyme method. In the method, Rebaudioside A or Rebaudioside D is used as a substrate, and in the presence of sucrose and UDP, Rebaudioside M is generated by means of reaction of the substrate under the catalysis of a mixture of UDP-glucosyl transferase and sucrose synthetase, or recombinant cells containing the UDP-glucosyl transferase and sucrose synthetase. The reaction is carried out in an aqueous-phase system at a temperature of 20 to 60° C. and pH 5.0 to 9.0. The reaction system further contains dimethyl sulfoxide at a concentration of 3% to 5% according to the ratio by volume for facilitating solubilization of the substrate.

Abstract: Provided is a method for preparing rebaudioside M by using an enzyme method. In the method, rebaudioside A or rebaudioside D is used as a substrate; and in the existence of a glucosyl donor, rebaudioside M is generated by means of reaction of the substrate under the catalysis of UDP-glucosyl transferase and/or recombinant cells containing the UDP-glucosyl transferase.

Abstract: Systems and methods for texture processing are presented. In one embodiment a texture method includes creating a sparse texture residency translation map; performing a probe process utilizing the sparse texture residency translation map information to return a finest LOD that contains the texels for a texture lookup operation; and performing the texture lookup operation utilizing the finest LOD. In one exemplary implementation, the finest LOD is utilized as a minimum LOD clamp during the texture lookup operation. A finest LOD number indicates a minimum resident LOD and a sparse texture residency translation map includes one finest LOD number per tile of a sparse texture. The sparse texture residency translation can indicate a minimum resident LOD.

Abstract: Systems and methods for texture processing are presented. In one embodiment a texture method includes creating a sparse texture residency translation map; performing a probe process utilizing the sparse texture residency translation map information to return a finest LOD that contains the texels for a texture lookup operation; and performing the texture lookup operation utilizing the finest LOD. In one exemplary implementation, the finest LOD is utilized as a minimum LOD clamp during the texture lookup operation. A finest LOD number indicates a minimum resident LOD and a sparse texture residency translation map includes one finest LOD number per tile of a sparse texture. The sparse texture residency translation can indicate a minimum resident LOD.

Abstract: Systems and methods for texture processing are presented. In one embodiment a texture method includes creating a sparse texture residency translation map; performing a probe process utilizing the sparse texture residency translation map information to return a finest LOD that contains the texels for a texture lookup operation; and performing the texture lookup operation utilizing the finest LOD. In one exemplary implementation, the finest LOD is utilized as a minimum LOD clamp during the texture lookup operation. A finest LOD number indicates a minimum resident LOD and a sparse texture residency translation map includes one finest LOD number per tile of a sparse texture. The sparse texture residency translation can indicate a minimum resident LOD.

Abstract: Systems and methods for texture processing are presented. In one embodiment a texture method includes creating a sparse texture residency translation map; performing a probe process utilizing the sparse texture residency translation map information to return a finest LOD that contains the texels for a texture lookup operation; and performing the texture lookup operation utilizing the finest LOD. In one exemplary implementation, the finest LOD is utilized as a minimum LOD clamp during the texture lookup operation. A finest LOD number indicates a minimum resident LOD and a sparse texture residency translation map includes one finest LOD number per tile of a sparse texture. The sparse texture residency translation can indicate a minimum resident LOD.

Abstract: Systems and methods for texture processing are presented. In one embodiment a texture method includes creating a sparse texture residency translation map; performing a probe process utilizing the sparse texture residency translation map information to return a finest LOD that contains the texels for a texture lookup operation; and performing the texture lookup operation utilizing the finest LOD. In one exemplary implementation, the finest LOD is utilized as a minimum LOD clamp during the texture lookup operation. A finest LOD number indicates a minimum resident LOD and a sparse texture residency translation map includes one finest LOD number per tile of a sparse texture. The sparse texture residency translation can indicate a minimum resident LOD.

Abstract: Systems and methods for texture processing are presented. In one embodiment a texture method includes creating a sparse texture residency translation map; performing a probe process utilizing the sparse texture residency translation map information to return a finest LOD that contains the texels for a texture lookup operation; and performing the texture lookup operation utilizing the finest LOD. In one exemplary implementation, the finest LOD is utilized as a minimum LOD clamp during the texture lookup operation. A finest LOD number indicates a minimum resident LOD and a sparse texture residency translation map includes one finest LOD number per tile of a sparse texture. The sparse texture residency translation can indicate a minimum resident LOD.

Abstract: A method and apparatus for deframing signals is described. In one embodiment of the invention, a computer implemented method comprises receiving a plurality of signals at a first clock rate, synchronizing the plurality of signals to a second clock rate, and deframing the plurality of signals.

Abstract: A method and apparatus for simultaneously sync hunting signals is described. In one embodiment of the invention, a computer implemented method comprises initializing a first and second subset of a set of per-alignment state machines, receiving a first and second signal, and simultaneously sync hunting the first signal with the first subset of the set of per-alignment state machines and the second signal with the second subset of the set of per-alignment state machines.

Abstract: A method and apparatus for sync hunting signals is described. In one embodiment of the invention, a computer implemented method comprises receiving a signal and synchronization hunting concurrently for a first and second frame alignment pattern for a first and second alignment candidates.

Abstract: A method and apparatus for deframing signals is described. In one embodiment of the invention, a computer implemented method comprises receiving a plurality of signals at a first clock rate, synchronizing the plurality of signals to a second clock rate, and deframing the plurality of signals.

Abstract: A method and apparatus for sync hunting signals is described. In one embodiment of the invention, a computer implemented method comprises receiving a signal and synchronization hunting concurrently for a first and second frame alignment pattern for a first and second alignment candidates.

Abstract: A method and apparatus for simultaneously sync hunting signals is described. In one embodiment of the invention, a computer implemented method comprises initializing a first and second subset of a set of per-alignment state machines, receiving a first and second signal, and simultaneously sync hunting the first signal with the first subset of the set of per-alignment state machines and the second signal with the second subset of the set of per-alignment state machines.