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3.2 A 1.95GHz fully integrated envelope elimination and restoration CMOS power amplifier with envelope/phase generator and timing aligner for WCDMA and LTE.

, , , , , , , , , , , , , , and . ISSCC, page 60-61. IEEE, (2014)

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A 1.95 GHz Fully Integrated Envelope Elimination and Restoration CMOS Power Amplifier Using Timing Alignment Technique for WCDMA and LTE., , , , , , , , , and 4 other author(s). IEEE J. Solid State Circuits, 49 (12): 2915-2924 (2014)3.2 A 1.95GHz fully integrated envelope elimination and restoration CMOS power amplifier with envelope/phase generator and timing aligner for WCDMA and LTE., , , , , , , , , and 5 other author(s). ISSCC, page 60-61. IEEE, (2014)Semilayer-Wise Partial Quantization Without Accuracy Degradation or Back Propagation., , , , and . ICANN (9), volume 14262 of Lecture Notes in Computer Science, page 283-295. Springer, (2023)Dropout and DropConnect for Reliable Neuromorphic Inference Under Communication Constraints in Network Connectivity., , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 9 (4): 658-667 (2019)Neural-network assistance to calculate precise eigenvalue for fitness evaluation of real product design., , , , , , and . GECCO (Companion), page 405-406. ACM, (2019)Self-Supervised Learning with Atom Replacement for Catalyst Energy Prediction by Graph Neural Networks., , , , , , , , and . INNS DLIA@IJCNN, volume 222 of Procedia Computer Science, page 458-467. Elsevier, (2023)A 28.3 Gb/s 7.3 pJ/bit 35 dB backplane transceiver with eye sampling phase adaptation in 28 nm CMOS., , , , , , , , , and 10 other author(s). VLSI Circuits, page 1-2. IEEE, (2016)Automatic Pruning Rate Derivation for Structured Pruning of Deep Neural Networks., , , , and . ICPR, page 2561-2567. IEEE, (2022)Channel-wise quantization without accuracy degradation using Δloss analysis., , , , and . ICMLT, page 56-61. ACM, (2022)Efficient and Large Scale Pre-training Techniques for Japanese Natural Language Processing., , , , , , , and . CANDAR, page 108-113. IEEE, (2021)