Sentence examples for error recovery algorithms from inspiring English sources

In Gardner-based error recovery algorithms, the match-filtered signal must be sampled with sampling rate twice the symbol rate.

There is still a lot of work being done to develop practical and near minimum mean squared error recovery algorithms for noisy cases.

This chapter argues that these human-centric questions directly impact not only important aspects of human computer interface design but also the appropriateness of the selection of specific context detection algorithms related to sensor installation, algorithm training, and error recovery have been largely ignored by the research community.

Although automatic detection of context from home sensors is an active research area, some critical aspects of the "human-centric" side of creating and deploying these home health systems related to sensor installation, algorithm training, and error recovery have been largely ignored by the research community.

Since noise is always present in practical acquisition systems, a range of different algorithms and methods have been proposed in the literature that enable accurate reconstruction of sparse signals from noisy compressive measurements using the ℓ 2 norm as the metric for the residual error (see [10] for a review of CS recovery algorithms).

This research program has produced a myriad of specific algorithms and protocols to solve such problems as error recovery, congestion control, routing, multicast, and quality-of service.

coefficient (standard error) Recovery rate std.

Error recovery is performed using either backward recovery or forward recovery.

The error treatment contains error detection, damage assessment and error recovery.

Otherwise, refer to solutions in later prediction error recovery section.

Automatic Repeat reQuest (ARQ) is popular error recovery mechanisms.