Sentence examples for sparse algorithm from inspiring English sources

Our experimental results on a platform consisting of an Intel multicore processor along with an Nvidia GPU indicate a significant improvement in performance and energy over CHOLMOD (SuiteSparse 4.5.3), a sparse algorithm, after these techniques are applied.

LMS is close to the greedy sparse algorithm in accuracy, despite its low efficiency.

The image sparse algorithm is the wavelet transform [9], and the image reconstruction algorithm is the OMP reconstruction algorithm.

In the fixed compression ratio of 0.6 (M = 150, N = 256), the image sparse algorithm is the wavelet transform, and the image reconstruction algorithm is the OMP reconstruction algorithm.

Under the condition that the sparse algorithm is the wavelet transform and reconstruction algorithm for reconstructing is OMP algorithm, the simulation of each measurement matrix under different compression ratios to reconstruct the 2-D image Lena.bmp has been made.

According to Table 1, when the target image, image sparse algorithm, the reconstruction algorithm, and other conditions are all the same and the compression ratio is fixed, the time consumed of the Kronecker product matrix n is quite close to certain matrix, only half of the random measurement matrix [13].

We tested three sparse algorithms (IRL1, SBL and OMP) against Gaussian noise as well as salt and pepper noise.

In this paper, we presented sparse algorithms for the reconstruction of temporal and spatio-temporal stimuli from spike times generated by neural circuits consisting of complex cells.

The goal of this article is to present an efficient approach that reduces the computational cost of sparse algorithms for R-D modal estimation problems.

After demonstrating that the decoding of visual stimuli becomes tractable, we describe sparse algorithms that functionally identify the DSPs of complex cells using the spike times they generate.

In Fig. 4, the parameters of the four sparse algorithms are chosen such that the algorithms yield almost the same maximum network size, while in Fig. 5, the parameters of the sparse algorithms are chosen such that they produce almost the same MSE at the end of adaptation.