Abstract: In some implementations, a method of synchronizing a content generation and delivery architecture to reduce the latency associated with image passthrough. The method includes: determining a temporal offset associated with the content generation and delivery architecture to reduce a photon-to-photon latency across the content generation and delivery architecture; obtaining a first reference rate associated with a portion of the content generation and delivery architecture; generating, via synchronization circuitry, a synchronization signal for the content generation and delivery architecture based at least in part on the first reference rate; and operating the content generation and delivery architecture according to the synchronization signal and the temporal offset.

Abstract: Systems for identifying potentially erroneous and/or erased data are provided. Systems have a bit detector, an accumulator, and a data reconstruction processor. The bit detector assigns values to bits read in a data signal. The bit detector illustratively assigns multiple values to each of the bits. The accumulator accumulates a count of the multiple values assigned by the bit detector for each of the bits. The accumulator associates each bit with a particular value based at least in part on its accumulated count. The data reconstruction processor determines for each of the bits a confidence level of the particular value associated to it. The data reconstruction process sets flags for a portion of the bits. The flags identify the portion of the bits as possible erased or erroneous data. The flags are set based at least in part on the confidence levels of the portion of the bits.

Abstract: Systems for identifying potentially erroneous and/or erased data are provided. Systems have a bit detector, an accumulator, and a data reconstruction processor. The bit detector assigns values to bits read in a data signal. The bit detector illustratively assigns multiple values to each of the bits. The accumulator accumulates a count of the multiple values assigned by the bit detector for each of the bits. The accumulator associates each bit with a particular value based at least in part on its accumulated count. The data reconstruction processor determines for each of the bits a confidence level of the particular value associated to it. The data reconstruction process sets flags for a portion of the bits. The flags identify the portion of the bits as possible erased or erroneous data. The flags are set based at least in part on the confidence levels of the portion of the bits.

Abstract: A system for enhancing the error correction capability of an error correction code (“ECC”) during error recovery operations accumulates, for respective bits, counts of the number of times the bits are detected as 1s in multiple re-reads of a data signal. The system then determines, based on the associated count, if a reconstructed bit should be considered a 1 or 0, or neither, that is, if the reconstructed bit should be considered erroneous, by comparing the count to a majority detection threshold and then to either an upper or a lower predetermined threshold that corresponds to the confidence with which the bit is reconstructed as a either a 1 or a 0. If the confidence is sufficiently low, that is, if the count falls below the upper threshold or above the lower threshold, the reconstructed bit is flagged as erroneous.

Abstract: An improved method (and system) of processing information for root cause analysis. The method includes inputting structured data in a first format and unstructured data from a real process from a service or manufacturing operation, e.g., call center for customer support, customer information systems for marketing, or product information systems for supply-chain. The method converts the unstructured information into a second structured format (optional). In some embodiments, there may not be any unstructured data. The method combines the structured data in first format and structured data in second format. The method then stores the structured data in the first format and the structured data in the second format into memory. A step of processing the combined data with one or more business processes (e.g., customer life cycle, a company organization, or problem-fix type) to couple the business process with the structured and unstructured data is included.