Abstract: This brief presents an overview of recent background timing mismatch calibration techniques in time-interleaved ADCs. Regarding the methods of detecting timing skew, the brief divides the ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...