초록 ▼

A data error detection and mitigation system has been provided with a tiered approach. A set of received (104) data frames, which are ordered, are divided (106) into multiple groups, wherein at least one of the groups includes at least two nonconsecutive data frames. With these multiple groups, a da

A data error detection and mitigation system has been provided with a tiered approach. A set of received (104) data frames, which are ordered, are divided (106) into multiple groups, wherein at least one of the groups includes at least two nonconsecutive data frames. With these multiple groups, a data error check is inserted (108) for at least one of these groups. The data frames can relate to various types of information, such as audio, speech, video, images, files, or any data format with substantial similarity between successive frames.

대표청구항 ▼

We claim: 1. A method of detecting data error comprising: receiving data divided into a plurality of ordered data frames; dividing the ordered data frames into multiple groups, wherein at least one of the multiple groups comprises at least two nonconsecutive data frames; inserting a data error chec

We claim: 1. A method of detecting data error comprising: receiving data divided into a plurality of ordered data frames; dividing the ordered data frames into multiple groups, wherein at least one of the multiple groups comprises at least two nonconsecutive data frames; inserting a data error check in at least one of the multiple groups; detecting data errors using the data error check; and mitigating the detected data errors by replacing at least one data frame from a group with the detected data errors with a derived data frame substantially adjacent to the at least one data frame being replaced. 2. The method according to claim 1, wherein the derived data frame is derived from any one or more from a group comprising of an immediate previous data frame and an immediate next data frame of the at least one data frame being replaced. 3. The method according to claim 1 further comprising consecutively assembling the ordered data frames along with the derived data frames for output. 4. The method according to claim 1, wherein the data comprises any one or more from a group of audio information, speech information, video information, image information, file information, and any data format with substantial similarity between successive frames. 5. The method according to claim 1, wherein the multiple groups have a substantially equal number of data frames in each of the multiple groups. 6. The method according to claim 1, wherein the at least two nonconsecutive data frames are spaced according to a predefined number of frames. 7. A method of detecting speech data error comprising: receiving a plurality of data packets, wherein each data packet includes multiple ordered speech frames; dividing the multiple ordered speech frames into a plurality of groups, wherein at least one of the plurality of groups comprises at least two nonconsecutive data frames; inserting a data error check in at least one of the multiple groups; detecting data errors using the data error check; and mitigating the detected data errors by replacing the at least one data frame with a derived data frame substantially adjacent to the at least one data frame being replaced. 8. The method according to claim 7, wherein the plurality of groups has a substantially equal number of data frames in each of the plurality of groups. 9. The method according to claim 7, wherein the at least two nonconsecutive data frames are spaced according to a predefined number of frames. 10. An apparatus comprising: an input having a plurality of ordered data frames; an error detection device coupled to the input that divides the ordered data frames into multiple groups and inserts a data error check in at least one of the multiple groups, wherein at least one of the multiple groups comprises at least two nonconsecutive data frames; and a mitigation device coupled to the error detection device that detects data error from the data error check and mitigates the detected data errors, wherein the mitigation device mitigates the detected data errors by replacing at lease one data frame from a group with the detected data error with a derived data frame substantially adjacent to the at least one data frame.