Python has become a go-to language for data analysis, thanks to libraries like NumPy, pandas, and Matplotlib. These tools make it easier to clean, manipulate, and visualize data for actionable ...
Signal processing in Python is more approachable than ever with libraries like NumPy and SciPy. These tools make it easy to filter noise, analyze frequencies, and transform raw signals into meaningful ...
Abstract: With the rapid growth of deep neural networks (DNNs), compute-in-memory (CIM) has emerged as a promising energy-efficient paradigm for accelerating multiply-and-accumulate (MAC) operations.
Abstract: This paper presents a practical design guideline for implementing a 4×4 Butler Beamforming Matrix (BBM) using Groove Gap-Waveguide (GGW) technology to enable multi-beam functionality. The ...