The decomposition of output changes and the multiplier product matrix are employed to identify any structural changes in the country's economy. The empirical findings indicate that a major structural change has occurred in the Kyrgyz economy, led by the financial intermediation sector.AKDEN...
To solve the optimization problem of the proposed sparse RT, an efficient alternating multiplier iteration algorithm is employed. Leveraging the high sparsity of the Radon model obtained from the proposed transform, we improve the GMD-based multiple removal framework. The high-sparsity Radon...
To exploit the parallelism of multiplier–accumulator computation in convolution, most FPGA-based CNN accelerators heavily depend on the number of on-chip DSP blocks in the FPGA. Consequently, the performance of the accelerators is restricted by the limitation of the DSPs, lea...
To solve the associated minimization problem, an efficient algorithm based on alternating direction multiplier method (ADMM) and Majorization-Minimization (MM) algorithm is developed. To verify the effectiveness of the proposed method, it is applied to the synthetic data and r...
Moreover, we solve the proposed model using a symmetric alternating direction method multiplier with the addition of a proximity term. The experimental data verify the effectiveness of our proposed method.Wang, ShuoZhu, ZhibinLiu, YufengZhang, Benxin...
Finally, the proposed model is efficiently solved by the alternating direction multiplier method (ADMM). Extensive experiments demonstrate that our method achieves superior detection performance when compared with other state-of-the-art methods in terms of target enhancement, background suppress...