Jun 4, 2024 · In this paper, we propose a calibration method for frequency response mismatches in 4-channel TIADC systems. Following the construction of a four-channel TIADC ...
4 days ago · This paper presents a design for timing mismatch calibration in a TIADC (Time-Interleaved Analog-to-Digital Converter) with wideband inputs.
Missing: Novel | Show results with:Novel
6 days ago · This paper presents a correlation-based all-digital background estimation method for timing skew mismatches in time-interleaved analog-to-digital converters (TI ...
5 days ago · This paper proposes a novel all-digital background calibration of timing mismatch for a time-interleaved analog-to-digital converter (TIADC).
Missing: technique | Show results with:technique
3 days ago · Adapting the Segment Anything Model During Usage in Novel Situations ... Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting, Mingkui ...
Missing: skew converters.
Jun 15, 2024 · ... the self-conditioning technique and our newly proposed adaptive noise schedule technique. ... We further propose a novel label bias calibration method tailored ...
Missing: analogue- converters.
Jun 10, 2024 · Zero-shot learning enables a pre-trained AI model to make predictions on unseen data. Learn what zero-shot learning is, its types, methods, applications, ...
Missing: analogue- converters.
Jun 7, 2024 · p>Abstract—This paper proposes a new technique to identify the mismatch error in time-interleaved analog-to-digital converters. This is done by injecting an ...
Missing: skew | Show results with:skew
2 days ago · Model drift is when a machine learning model's ability to predict the future worsens over time because of changes in the real-world data distribution, which is ...
Missing: analogue- converters.
4 days ago · ... the self-conditioning technique and our newly proposed adaptive noise schedule technique. ... We further propose a novel label bias calibration method tailored ...
Missing: analogue- converters.