This repository presents a comprehensive implementation and analysis of the Sparse Iterative Covariance-based Estimation (SPICE) algorithm for radar signal processing applications. SPICE represents a ...

Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...

Abstract: Traditional superimposed single pilot (SSIP) and superimposed sparse pilot (SSPP) schemes require high-power pilot symbols for channel estimation, leading to a high peak-to-average power ...

It’s happened to all of us: you find the perfect model for your needs — a bracket, a box, a cable clip, but it only comes in STL, and doesn’t quite fit. That problem will never happen if you’re using ...

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...

How to master the process that’s transforming management by Darrell Rigby, Jeff Sutherland and Hirotaka Takeuchi Agile innovation methods have revolutionized information technology. Over the past 25 ...