Sentence examples for by exploiting the statistical from inspiring English sources

Lossless DSC refers to two correlated random sources separately encoded and jointly decoded by exploiting the statistical dependencies.

By exploiting the statistical channel knowledge at transmitters, the authors of [16] addressed an optimization problem minimizing the total transmit power of the TWR network with different outage probability constraints on the two sources.

In order to exploit statistical information more effectively, a family of BI approaches was proposed in [15 18] by exploiting the statistical information with the characteristic function (CAF) or generating function (GF).

The WL filtering generalizes the conventional linear filtering and allows one to achieve a power reduction of the additive noise and interferences at the equalizer output, and therefore a performance gain, by exploiting the statistical redundancy possibly exhibited by a rotationally variant transmitted (and/or received) signal.

By exploiting the statistical channel knowledge at transmitters, a joint power allocation and relay location algorithm was proposed in [17] to reduce the power consumption of an asymmetric two-way AF relay network while ensuring the required network quality of service.

Instead of applying one of the conventional scene change detection methods [21, 22], we suggest a simple but effective way to detect a sudden change of scene in the input LR video by exploiting the statistical distance already discussed in the previous section.

By fully exploiting the statistical independencies in the received signal, we will show how to design a tractable algorithm requiring the inversion of matrices of very small dimension.

Our Binocular-Individual Threshold (BIT) algorithm for identifying fixations is therefore a parameter-free fixation-identification algorithm that automatically identifies task- and individual-specific velocity thresholds by optimally exploiting the statistical properties of the eye-movement data across different eyes and directions of eye movements.

By exploiting the full statistical information of the measurement data, receiver sensitivity and the accuracy of the estimated TOA can be substantially improved.

Furthermore, by exploiting the common statistical sparsity inherent in different multipath signals, we extend the BCS algorithms to a multi-task version for simultaneously reconstructing multiple signals, thus leading to MT-BCS [15, 16].

By exploiting the idea of combining the statistical minimum risk estimation paradigm with numerical descriptive regularization techniques, we address a new fused statistical descriptive regularization (SDR) strategy for enhanced radar imaging.