A system and method for applying noise to data is described. The system accesses a metric value of a metric of each user from a group of users of an application. The metric indicates a measure of an operation of the application by a corresponding user. The system generates noise values and defines a distribution of the noise values to the group of users. The system modifies the metric value of the metric of each user with a corresponding noise value from the noise values based on the distribution.

A Viterbi traceback processing method, system, and apparatus are provided wherein a first Viterbi traceback processing operation (MUX 514) is performed on a first survivor path metric (TMV1) by selecting, in response to a back track state (INDEX 0), a first output data bit (Ti1) for the first survivor path metric, wherein a plurality of Viterbi traceback processing operations (MUX 512, 513) are performed on respective portions of an additional survivor path metric (TMV2A, TMV2B) by selecting, in response to a shifted back track state (INDEX 1), candidate data bits (Tn1, Tn2) for the additional survivor path metric, wherein a multiplexer (MUX 518) controlled by the first output data bit selects between the candidate data bits to generate an additional output data bit (Ti2) for the additional survivor path metric such that the Viterbi traceback processing operations are performed in parallel to produce the output data bits.

A system and method for applying noise to data is described. The system accesses a metric value of a metric of each user from a group of users of an application. The metric indicates a measure of an operation of the application by a corresponding user. The system generates noise values and defines a distribution of the noise values to the group of users. The system modifies the metric value of the metric of each user with a corresponding noise value from the noise values based on the distribution.