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S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits.

M. Alawieh, X. Tang, and D. Pan. ASP-DAC, page 268-273. ACM, (2019)

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Error-Feedback Mismatch Error Shaping for High-Resolution Data Converters.J. Liu, C. Hsu, X. Tang, S. Li, G. Wen, and N. Sun. IEEE Trans. on Circuits and Systems, 66-I (4): 1342-1354 (2019)A 2.4-GHz ΔΣ Fractional-N Synthesizer with Space-Time Averaging for Noise Reduction.Y. Zhang, A. Sanyal, X. Quan, K. Wen, X. Tang, G. Jin, L. Geng, and N. Sun. CICC, page 1-4. IEEE, (2019)S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits.M. Alawieh, X. Tang, and D. Pan. ASP-DAC, page 268-273. ACM, (2019)A Fractional-N PLL With Space-Time Averaging for Quantization Noise Reduction.Y. Zhang, A. Sanyal, X. Yu, X. Quan, K. Wen, X. Tang, G. Jin, L. Geng, and N. Sun. J. Solid-State Circuits, 55 (3): 602-614 (2020)A 10-bit 120-MS/s SAR ADC With Reference Ripple Cancellation Technique.Y. Shen, X. Tang, L. Shen, W. Zhao, X. Xin, S. Liu, Z. Zhu, V. Sathe, and N. Sun. J. Solid-State Circuits, 55 (3): 680-692 (2020)A Second-Order Purely VCO-Based CT ΔΣ ADC Using a Modified DPLL Structure in 40-nm CMOS.Y. Zhong, S. Li, X. Tang, L. Shen, W. Zhao, S. Wu, and N. Sun. J. Solid-State Circuits, 55 (2): 356-368 (2020)A Two-Step ADC With a Continuous-Time SAR-Based First Stage.L. Shen, N. Sun, Y. Shen, Z. Li, W. Shi, X. Tang, S. Li, W. Zhao, M. Zhang, and Z. Zhu. J. Solid-State Circuits, 54 (12): 3375-3385 (2019)Advances in Voltage-Controlled-Oscillator-Based ΔΣ ADCs.S. Li, A. Sanyal, K. Lee, Y. Yoon, X. Tang, Y. Zhong, K. Ragab, and N. Sun. IEICE Transactions, 102-C (7): 509-519 (2019)A 10b 120MS/s SAR ADC with Reference Ripple Cancellation Technique.X. Tang, Y. Shen, L. Shen, W. Zhao, Z. Zhu, V. Sathe, and N. Sun. CICC, page 1-4. IEEE, (2019)An Energy-Efficient Comparator with Dynamic Floating Inverter Pre-Amplifier.X. Tang, B. Kasap, L. Shen, X. Yang, W. Shi, and N. Sun. VLSI Circuits, page 140-. IEEE, (2019)

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S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits.

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S2-PM: semi-supervised learning for efficient performance modeling of analog and mixed signal circuits.