Abstract: Sparse Bayesian learning (SBL) has become a popular approach for direction-of-arrival (DOA) estimation, but its computational complexity for Bayesian inference is quite high because ...

Connect all your configuration files and autogenerate code—Jsonnet is the missing piece for large code bases.

Abstract: Conventional beamforming with fixed-position antenna (FPA) arrays has a fundamental trade-off between maximizing the signal power (array gain) over a desired direction and simultaneously ...

The openshift-client-python library aims to provide a readable, concise, comprehensive, and fluent API for rich interactions with an OpenShift cluster. Unlike other clients, this library exclusively ...

Matt Webber is an experienced personal finance writer, researcher, and editor. He has published widely on personal finance, marketing, and the impact of technology on contemporary arts and culture.

Note: This book is the first edition of Quantitative Finance with Case Studies in Python. For readers of the second edition, please go to this repo.