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As machine-learning models become larger and more complex, they require faster and more energy-efficient hardware to perform computations. Conventional digital computers are struggling to keep up.
Long design cycles due to the inability to predict silicon realities are a well-known problem that plagues analog/RF integrated circuit product development. As this problem worsens for nanoscale IC te...
This work presents novel continuous-time delta-sigma modulator architectures with low-power consumption and improved signal transfer functions which are suitable for wideband A/D conversion in wireles...
A novel four-quadrant analog multiplier using floating gate MOS (FGMOS) transistors operating in the saturation region is presented. The drain current is proportional to the square of the weighted sum...
AbstractIn analog VLSI design, 2-dimensional symmetry stack and block merging are critical for mismatch minimization and parasitic control. In this paper, algorithms for analog VLSI 2-dimensional symm...
This paper describes a new methodology for increasing the security of analog data transmission based on a mixture of the original analog signal with one of the state variables of Rössler chaoti...

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