Deep Neural Networks (DNNs) are becoming an important tool in modern computing
applications. Accelerating their training is a major challenge and techniques range from …

This paper proposes a unified transmission strategy for multiuser time division duplex
(TDD)/frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) …

In this chapter, we develop the properties of wavelet systems in terms of the underlying filter
banks associated with them. This is an expansion and elaboration of the material in Chapter …

We describe two recently proposed randomized algorithms for the construction of low-rank
approximations to matrices, and demonstrate their application (inter alia) to the evaluation of …

We introduce a randomized procedure that, given an m× n matrix A and a positive integer k,
approximates A with a matrix Z of rank k. The algorithm relies on applying a structured l× m …

Several innovative random-sampling and random-mixing techniques for solving problems in
linear algebra have been proposed in the last decade, but they have not yet made a …

Accurately determining one's position has been a recurrent problem in history [1]. It even
precedes the first deep-sea navigation attempts of ancient civilizations and reaches the …

In this paper, we present an efficient implementation of a non-contiguous orthogonal
frequency division multiplexing (NC-OFDM) transceiver for cognitive radio systems. NC …

Orthogonal frequency-division multiplexing with cyclic prefix enables low-cost frequency-
domain mitigation of multipath distortion. However, to determine the equalizer coefficients …

The article deals with the Goertzel algorithm, used to establish the modulus and phase of
harmonic components of a signal. The advantages of the Goertzel approach over the DFT …