2 papers
eess.SP2026
Sparse Bayesian Learning Algorithms Revisited: From Learning Majorizers to Structured Algorithmic Learning using Neural Networks
Rushabha Balaji, Kuan-Lin Chen, Danijela Cabric +1
Sparse Bayesian Learning is one of the most popular sparse signal recovery methods, and various algorithms exist under the SBL paradigm. However, given a performance metric and a s…
eess.SY2020
Design and Comparative Analysis of a Two-Stage Ultra-Low-Power Subthreshold Operational Amplifier in 180nm, 90nm, and 45nm technology
Sumukh Nitundil, Nihal Singh, Rushabha Balaji +1
In this paper, a two-stage ultra-low-power operational amplifier is designed, and a comparative analysis of the proposed subthreshold complementary amplifier is presented between 1…