371 citations · 2.6k across the 122 of their papers we have counts for
13 papers · 1 filter
Sparse mmWave OFDM Channel Estimation Using Compressed Sensing in OFDM Systems
Felipe Gomez-Cuba, Andrea J. Goldsmith
This paper proposes and analyzes a mmWave sparse channel estimation technique for OFDM systems that uses the Orthogonal Matching Pursuit (OMP) algorithm. This greedy algorithm retr…
Communication System Design and Analysis for Asynchronous Molecular Timing Channels
Nariman Farsad, Yonathan Murin, Weisi Guo +3
Two new asynchronous modulation techniques for molecular timing (MT) channels are proposed. One based on modulating information on the time between two consecutive releases of indi…
Distributed Convex Optimization With Limited Communications
Milind Rao, Stefano Rini, Andrea Goldsmith
In this paper, a distributed convex optimization algorithm, termed \emph{distributed coordinate dual averaging} (DCDA) algorithm, is proposed. The DCDA algorithm addresses the scen…
Fast Blind MIMO Decoding through Vertex Hopping
Thomas Dean, Jonathan Perlstein, Mary Wootters +1
We present an algorithm that efficiently performs blind decoding of MIMO signals. That is, given no channel state information (CSI) at either the transmitter or receiver, our algor…
Orthogonal Time Frequency Space Modulation
Ronny Hadani, Shlomo Rakib, Shachar Kons +8
This paper introduces a new two-dimensional modulation technique called Orthogonal Time Frequency Space (OTFS) modulation. OTFS has the novel and important feature of being designe…
Lossy Compression of Decimated Gaussian Random Walks
Georgia Murray, Alon Kipnis, Andrea J. Goldsmith
We consider the problem of estimating a Gaussian random walk from a lossy compression of its decimated version. Hence, the encoder operates on the decimated random walk, and the de…
Sliding Bidirectional Recurrent Neural Networks for Sequence Detection in Communication Systems
Nariman Farsad, Andrea Goldsmith
The design and analysis of communication systems typically rely on the development of mathematical models that describe the underlying communication channel. However, in some syste…
Deep Learning for Joint Source-Channel Coding of Text
Nariman Farsad, Milind Rao, Andrea Goldsmith
We consider the problem of joint source and channel coding of structured data such as natural language over a noisy channel. The typical approach to this problem in both theory and…
Blind Joint MIMO Channel Estimation and Decoding
Thomas R. Dean, Mary Wootters, Andrea J. Goldsmith
We propose a method for MIMO decoding when channel state information (CSI) is unknown to both the transmitter and receiver. The proposed method requires some structure in the trans…
Neural Network Detection of Data Sequences in Communication Systems
Nariman Farsad, Andrea Goldsmith
We consider detection based on deep learning, and show it is possible to train detectors that perform well without any knowledge of the underlying channel models. Moreover, when th…
Ranking Causal Influence of Financial Markets via Directed Information Graphs
Theo Diamandis, Yonathan Murin, Andrea Goldsmith
A non-parametric method for ranking stock indices according to their mutual causal influences is presented. Under the assumption that indices reflect the underlying economy of a co…
Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits
Alon Kipnis, Yonina C. Eldar, Andrea J. Goldsmith
Processing, storing and communicating information that originates as an analog signal involves conversion of this information to bits. This conversion can be described by the combi…
Exploiting Diversity in Molecular Timing Channels via Order Statistics
Yonathan Murin, Nariman Farsad, Mainak Chowdhury +1
We study diversity in one-shot communication over molecular timing channels. We consider a channel model where the transmitter simultaneously releases a large number of information…