This tutorial text gives a unifying perspective on machine learning by covering both
probabilistic and deterministic approaches-which are based on optimization techniques …

This newly updated, second edition of Digital Techniques for Wideband Receivers is a
current, comprehensive design guide for your digital processing work with today's complex …

Compressed sensing deals with the reconstruction of signals from sub-Nyquist samples by
exploiting the sparsity of their projections onto known subspaces. In contrast, this article is …

Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image
and Video Processing shows you how robust subspace learning and tracking by …

Cognitive radio provides a feasible solution for alleviating the lack of spectrum resources by
enabling secondary users to access the unused spectrum dynamically. Spectrum sensing …

Recently, the compressed sensing (CS) theory has become an interesting topic for pan-
sharpening of multispectral images. The CS theory ensures that, under the sparsity …

We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-
varying threshold in the temporal domain and employs compressive sensing in the spatial …

In this paper we present a complete (hardware/software) sub-Nyquist rate (× 13) wideband
signal acquisition chain capable of acquiring radar pulse parameters in an instantaneous …

Compressed sensing (CS) is a topic of tremendous interest because it provides theoretical
guarantees and computationally tractable algorithms to fully recover signals sampled at a …

A fully-integrated, high-speed, wideband receiver called the random modulation pre-
integrator is realized in IBM 90nm digital CMOS. It achieves an effective instantaneous …