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A Super-Pipelined Energy Efficient Subthreshold 240 MS/s FFT Core in 65 nm CMOS.

, , , , and . J. Solid-State Circuits, 47 (1): 23-34 (2012)

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A Super-Pipelined Energy Efficient Subthreshold 240 MS/s FFT Core in 65 nm CMOS., , , , and . J. Solid-State Circuits, 47 (1): 23-34 (2012)A 23mW face recognition accelerator in 40nm CMOS with mostly-read 5T memory., , , , , , , and . VLSIC, page 48-. IEEE, (2015)Pipeline strategy for improving optimal energy efficiency in ultra-low voltage design., , , , and . DAC, page 990-995. ACM, (2011)Extending energy-saving voltage scaling in ultra low voltage integrated circuit designs., , , , and . ICICDT, page 1-4. IEEE, (2012)An Injectable 64 nW ECG Mixed-Signal SoC in 65 nm for Arrhythmia Monitoring., , , , , , , , , and 3 other author(s). J. Solid-State Circuits, 50 (1): 375-390 (2015)A Multi-Channel Spike Sorting Processor With Accurate Clustering Algorithm Using Convolutional Autoencoder., , and . IEEE Trans. Biomed. Circuits Syst., 15 (6): 1441-1453 (2021)Live demonstration: A 128-channel spike sorting processor featuring 0.175 μW and 0.0033 mm2 per Channel in 65-nm CMOS., , , , and . APCCAS, page 734-735. IEEE, (2016)A Noise Reconfigurable All-Digital Phase-Locked Loop Using a Switched Capacitor-Based Frequency-Locked Loop and a Noise Detector., , , , , and . J. Solid-State Circuits, 53 (1): 50-65 (2018)A 23-mW Face Recognition Processor with Mostly-Read 5T Memory in 40-nm CMOS., , , , , , , and . J. Solid-State Circuits, 52 (6): 1628-1642 (2017)A low-power VGA full-frame feature extraction processor., , , , , and . ICASSP, page 2726-2730. IEEE, (2013)