Search Results - "Seungheun Song"

A Multimode 157 μW 4-Channel 80 dBA-SNDR Speech Recognition Frontend With Direction-of-Arrival Correction Adaptive Beamformer by Kang, Taewook, Lee, Seungjong, Song, Seungheun, Haghighat, Mohammad Reza, Flynn, Michael P.

“…This work introduces a speech recognition frontend system that solves the problems of conventional adaptive beamforming (ABF) with: 1) low digital signal…”
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An 81.6 dB SNDR 15.625 MHz BW Third-Order CT SDM With a True Time-Interleaving Noise-Shaping Quantizer by Lee, Seungjong, Kang, Taewook, Song, Seungheun, Kwon, Kyumin, Flynn, Michael P.

“…This work introduces a time-interleaved architecture to tackle the speed-resolution bottleneck of the noise-shaping (NS) successive approximation register…”
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A 4.3 GHz Digital-Sampling PLL with Noise-Shaping SAR ADC Phase Detector by Belz, Matthew R., Xu, Zhengqi, Chen, Hsiang-Wen, Song, Seungheun, Flynn, Michael P.

“…A digital-sampling PLL based on a noise-shaping SAR (NS-SAR) analog-to-digital converter (ADC) breaks the quantization noise limitation of prior ADC based PDs…”
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An 81.6dB SNDR 15.625MHz BW 3rd Order CT SDM with a True TI NS Quantizer by Lee, Seungjong, Kang, Taewook, Song, Seungheun, Kwon, Kyumin, Flynn, Michael

“…This paper presents a continuous-time (CT) sigma-delta modulator (SDM) with a time-interleaved (TI) noise-shaping (NS) quantizer (QTZ). Complete…”
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A 150-MS/s Fully Dynamic SAR-Assisted Pipeline ADC Using a Floating Ring Amplifier and Gain-Enhancing Miller Negative-C by Song, Seungheun, Kang, Taewook, Lee, Seungjong, Flynn, Michael P.

“…A 150-MS/s fully dynamic SAR-assisted pipeline ADC employs a dynamic, bias-free, floating ring amplifier. A Miller negative capacitance scheme overcomes the…”
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A low noise class-AB operational amplifier with noise optimization technique by Seungheun Song, Kwanseok Jung, Subin Kim, Joongho Choi

“…This paper presents a low noise operational amplifier with noise optimization and reduction techniques. It consists of a folded-cascode amplifier and a…”
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An 8-bit 20.7 TOPS/W Multi-Level Cell ReRAM-based Compute Engine by Correll, Justin M., Jie, Lu, Song, Seungheun, Lee, Seungjong, Zhu, Junkang, Tang, Wei, Wormald, Luke, Erhardt, Jack, Breil, Nicolas, Quon, Roger, Kamalanathan, Deepak, Krishnan, Siddarth, Chudzik, Michael, Zhang, Zhengya, Lu, Wei D., Flynn, Michael P.

“…Analog compute in memory with Multi-Level Cell (MLC) ReRAM promises highly dense and efficient compute support for machine learning and scientific computing…”
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A Multimode 157μW 4-Channel 80dBA-SNDR Speech-Recognition Frontend With Self-DOA Correction Adaptive Beamformer by Kang, Taewook, Lee, Seungjong, Song, Seungheun, Haghighat, Mohammad R., Flynn, Michael P.

“…Beamforming with multiple microphones is essential for Automatic Speech Recognition (ASR) in earbuds, cell phones, and smart speakers. Although fixed…”
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