1 code implementation • 20 Feb 2023 • Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri
However, the best-performing design of T-F weights is criterion-dependent in general.
no code implementations • 17 Nov 2021 • Kuan-Lin Chen, Ching-Hua Lee, Bhaskar D. Rao, Harinath Garudadri
Specifically, we study the effects of using different numbers of subbands and various sparsity penalty terms for quasi-sparse, sparse, and dispersive systems.
1 code implementation • NeurIPS 2021 • Kuan-Lin Chen, Ching-Hua Lee, Harinath Garudadri, Bhaskar D. Rao
To codify such a difference in nonlinearities and reveal a linear estimation property, we define ResNEsts, i. e., Residual Nonlinear Estimators, by simply dropping nonlinearities at the last residual representation from standard ResNets.
