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Two dimensional autoregressive modeling-based interpolation algorithms for image super-resolution: A comparison study.

, , and . CISP-BMEI, page 1-6. IEEE, (2017)

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On Convergence Conditions of an Extended Projection Neural Network., and . Neural Comput., 17 (3): 515-525 (2005)Matrix-Type Neural Dynamical Methods for Matrix-Variable Nonlinear Programming with Linear Constraints., and . ICACI, page 23-29. IEEE, (2020)Effective Kalman filtering algorithm for distributed multichannel speech enhancement., and . Neurocomputing, (2018)Two Matrix-Type Projection Neural Networks for Matrix-Valued Optimization with Application to Image Restoration., , , and . Neural Process. Lett., 53 (3): 1685-1707 (2021)4D computed tomography super-resolution reconstruction based on tensor product and nuclear norm optimization., and . Pattern Recognit., (2022)Blind hyperspectral image super resolution via simultaneously sparse and TV constraint., and . ICIP, page 4048-4052. IEEE, (2017)A complex-valued multichannel speech enhancement learning algorithm for optimal tradeoff between noise reduction and speech distortion., , and . Neurocomputing, (2017)A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints., , and . IEEE Trans. Neural Networks, 19 (8): 1340-1353 (2008)Hyperspectral Image Superresolution Based on Double Regularization Unmixing., and . IEEE Geosci. Remote. Sens. Lett., 14 (7): 1022-1026 (2017)Two Matrix-Type Projection Neural Networks for Solving Matrix-Valued Optimization Problems., , and . ICONIP (2), volume 11302 of Lecture Notes in Computer Science, page 405-416. Springer, (2018)