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A sample-time error calibration technique in time-interleaved ADCs with correlation-based detection and voltage-controlled compensation., , , , и . APCCAS, стр. 128-131. IEEE, (2012)Additive Neural Network Based Static and Dynamic Distortion Modeling for Prior-Knowledge-Free Nyquist ADC Characterization., , , , , и . MWSCAS, стр. 292-296. IEEE, (2021)TSA-Net: Tube Self-Attention Network for Action Quality Assessment., , , , и . CoRR, (2022)Machine Learning based Prior-Knowledge-Free Nyquist ADC Characterization and Calibration., , , , и . ISOCC, стр. 246-247. IEEE, (2021)Curriculum Adversarial Training for Robust Reinforcement Learning., , , , , и . IJCNN, стр. 1-8. IEEE, (2022)A 9-bit Resistor-Based All-Digital Temperature Sensor with a SAR-Quantization Embedded Differential Low-Pass Filter in 65nm CMOS Consuming 57pJ with a 2.5 μs Conversion Time., , и . CICC, стр. 1-4. IEEE, (2019)TSA-Net: Tube Self-Attention Network for Action Quality Assessment., , , , и . ACM Multimedia, стр. 4902-4910. ACM, (2021)OCEAN: An On-Chip Incremental-Learning Enhanced Artificial Neural Network Processor With Multiple Gated-Recurrent-Unit Accelerators., , , , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (3): 519-530 (2018)iFPNA: A Flexible and Efficient Deep Learning Processor in 28-nm CMOS Using a Domain-Specific Instruction Set and Reconfigurable Fabric., , , , и . IEEE J. Emerg. Sel. Topics Circuits Syst., 9 (2): 346-357 (2019)An ARMA-Model-Based NTF Estimation on Continuous-Time ΔΣ Modulators., , , , и . IEEE Trans. Circuits Syst. II Express Briefs, 62-II (8): 721-725 (2015)