Sentence examples for compressive algorithm from inspiring English sources

We introduce a compressive algorithm, CaBLASTP, along with an implementation that allows direct computation on the compressed data.

Our compressive algorithms will speed-up many tasks, such as protein structure prediction and orthology mapping, which rely heavily on homology search.

Multi-task Bayesian compressive sensing algorithm [28, 29] provides an adaptive learning framework and generally outperforms the conventional compressive sensing algorithms.

The edge detection rate versus SNR curves of the proposed compressive sensing algorithm for all compressive sensing cases and the one for non-compressive sensing are shown in Figure 10. Figure 10 Edge detection rate versus SNR curves of compressive sensing algorithm for three compressive sensing cases and the one for non-compressive sensing method.

In this paper, a robust group compressive sensing algorithm was developed to achieve reliable DOA estimation in the presence of narrowband signal distortion due to interference and calibration errors.

The group sparse reconstruction scheme for DOA estimation is solved through the complex multitask Bayesian compressive sensing algorithm by exploiting the group sparse property of the received multi-frequency signals.

To combat this resolution challenge, we use a compressive sampling algorithm to uniquely decode the recorded lensfree fluorescent patterns into higher resolution images, demonstrating ∼10 µm resolution.

What makes the image on the right look more like the one on the left are researchers' compressive sensing algorithms.

We develop efficient compressive sensing algorithms based on expander graphs for which the number of measurements is optimal.

We are able to utilize compressive sensing algorithms to reduce the number of measurements needed to reconstruct an image, and hence increase our frame rate to 1 Hz.

Among those existing 1-bit compressive sampling algorithms, the binary iterative hard thresholding (BIHT) [4] exhibits its superior performance in both reconstruction error and as well as consistency via numerical simulations over the algorithms in [3, 5].