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Vinod K. Jacob - IEEE Xplore Author Profile

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Event-based cameras offer low latency and high-dynamic range imaging data in a sparse format that is well-suited for high-speed object tracking. Processing this sparse data in the same way as traditional camera data requires a great deal of unnecessary computation, making it difficult to take advantage of the high-effective frame rate for real-time processing. In this work, we propose an accelerat...Show More
We present a Compute-In-Memory (CIM) convolution accelerator for object tracking applications using event camera, which is a new imaging technology that significantly improves latency and dynamic range over conventional cameras. Previous works proposed an efficient ADC-Iess Stochastic CIM for deep learning but need to store $2^{\mathrm{N}}$ stochastic bits for an n-bit number. We propose to store ...Show More
The filtering-by-aliasing (FA) receivers have demonstrated sharp analog finite impulse response (FIR) filtering by combining periodically time-varying (PTV) circuit elements with uniform sampling. Seen at the sampled output, the impulse response of an FA receiver can be controlled by the PTV resistor’s resistance that varies over time, which realizes very sharp filtering with 50–70-dB stopband rej...Show More
Compute-in-memory (CIM) accelerator has become a popular solution to achieve high energy efficiency for deep learning applications in edge devices. Recent works have demonstrated CIM macros using nonvolatile memories [spin transfer torque (STT)-MRAM and resistive random access memory (RRAM)] to take advantages of their nonvolatility and high density. However, effective computation dynamic range is...Show More
There has been a growing trend of developing programmable transceivers, which are the key to realizing a true software-defined radio [1]. Some prior works, such as N-path filters and mixer-first receivers, utilized periodically time-varying (PTV) circuits and have shown some promises and achieved what conventional time-invariant circuits are incapable of. Among them, the filtering-by-aliasing (FA)...Show More