Abstract: Disclosed are methods of providing an electronic device and a corresponding localization key to a customer for localization of the electronic device, as well as a corresponding localization key and computer-readable medium. The methods select a localization key corresponding to the location of the customer, and provide the electronic device and the selected localization key for delivery to the customer. The selected localization key includes a computer-readable medium having stored thereon instructions for execution by a processor of the electronic device. When the localization key is interfaced to the electronic device, the instructions cause the processor of the electronic device to select one of a plurality of localization profiles indicated by the instructions to correspond to the location of the customer and to implement the selected localization profile on the electronic device.

Abstract: Disclosed are methods of providing an electronic device and a corresponding localization key to a customer for localization of the electronic device, as well as a corresponding localization key and computer-readable medium. The methods select a localization key corresponding to the location of the customer, and provide the electronic device and the selected localization key for delivery to the customer. The selected localization key includes a computer-readable medium having stored thereon instructions for execution by a processor of the electronic device. When the localization key is interfaced to the electronic device, the instructions cause the processor of the electronic device to select one of a plurality of localization profiles indicated by the instructions to correspond to the location of the customer and to implement the selected localization profile on the electronic device.

Abstract: A method, system, and data structure for the scaling down of data is provided. At least two blocks of transformed data samples representing at least two blocks of original data samples are received. One of at least two tables of constants is selected wherein each table of constants is capable of reducing the number of transformed data samples by a different factor. The constants taken from the selected table are applied to the at least two blocks of transformed data samples to produce one block of transformed data samples representing one block of final data samples. The data is processed one dimension at a time by multiplying the data in one dimension with selected constants taken from previously developed tables corresponding to the desired scale down factor. Scaling down by different factors in each dimension as well as scaling down in one dimension and scaling up in the other dimension may be achieved.

Abstract: A method, system, and data structure for the scaling down of data is provided. At least two blocks of transformed data samples representing at least two blocks of original data samples are received. One of at least two tables of constants is selected wherein each table of constants is capable of reducing the number of transformed data samples by a different factor. The constants taken from the selected table are applied to the at least two blocks of transformed data samples to produce one block of transformed data samples representing one block of final data samples. The data is processed one dimension at a time by multiplying the data in one dimension with selected constants taken from previously developed tables corresponding to the desired scale down factor. Scaling down by different factors in each dimension as well as scaling down in one dimension and scaling up in the other dimension may be achieved.