In this paper, based on ideas from lossy data coding and compression, we present a simple
but effective technique for segmenting multivariate mixed data that are drawn from a mixture …

We consider the design of linear precoders (beamformers) for broadcast channels with
Quality of Service (QoS) constraints for each user, in scenarios with uncertain channel state …

In this paper, we consider the downlink of a multiuser wireless communication system with
multiple antennas at the base station and users each with a single receive antenna. It is …

Abstract We present Rotated Adaptive Tetra-iterated Quantizer (RATQ), afixed-length
quantizer for gradients in first order stochasticoptimization. RATQ is easy to implement and …

In this paper, a new communication-efficient federated learning (FL) framework is proposed,
inspired by vector quantized compressed sensing. The basic strategy of the proposed …

Developing computationally-efficient codes that approach the Shannon-theoretic limits for
communication and compression has long been one of the major goals of information and …

The letter introduces a novel quantizer suited for medium to high-resolution synthetic
aperture radar (SAR) systems, like the forthcoming SENTINEL-1 SAR. The Flexible Dynamic …

We are not very pleased when we are forced to accept a mathematical truth by virtue of a
complicated chain of formal conclusions and computations, which we traverse blindly, link …

We propose computationally efficient encoders and decoders for lossy compression using a
sparse regression code. The codebook is defined by a design matrix and codewords are …

The basic tradeoff in lossy compression is that between the compression ratio (rate) and the
fidelity of reproduction of the object that is compressed. Traditional (asymptotic) information …