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His research spans high dynamic-range Sigma-delta A/D converters, ultra-low power sensor interface circuits, fully-digital image sensors based on Sigma-delta pixel level A/D conversion, focal plane compression in imaging applications, and data hiding in audio signals. He has developed several architectures that improve Sigma-delta A/D conversion, architectures by reducing their offset, 1/f noise, and harmonic distortions. He has also developed a variety of image sensors based on Sigma-delta conversion at the pixel site. These image sensor architectures have shown 100-fold increase in their linear dynamic range with 50-fold reduction in power consumption with respect to existing CMOS image sensors. Also, he has developed and been investigating focal plane compression techniques where majority of multiplication computations required by the compression are rendered unnecessary.
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERSno. 1 (2024): 40-50
arXiv (Cornell University) (2020)
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