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This paper focuses on solving a challenging problem of blind deconvolution demixing involving modulated inputs. Specifically, multiple input signals $s_n(t)$, each bandlimited to $B$ Hz, are modulated with known random sequences $r_n(t)$…

Signal Processing · Electrical Eng. & Systems 2026-02-17 Humera Hameed , Ali Ahmed

We study Sigma-Delta ($\Sigma\Delta$) quantization of oversampled bandlimited functions. We prove that digitally integrating blocks of bits and then down-sampling, a process known as decimation, can efficiently encode the associated…

Information Theory · Computer Science 2023-07-19 Ingrid Daubechies , Rayan Saab

This paper investigates robust semantic communications over multiple-input multiple-output (MIMO) fading channels. Current semantic communications over MIMO channels mainly focus on channel adaptive encoding and decoding, which lacks…

Information Theory · Computer Science 2024-07-09 Yiheng Duan , Tong Wu , Zhiyong Chen , Meixia Tao

A two-dimensional signal space for intensity- modulated channels is presented. Modulation formats using this signal space are designed to maximize the minimum distance between signal points while satisfying average and peak power…

Information Theory · Computer Science 2015-01-07 Johnny Karout , Gerhard Kramer , Frank R. Kschischang , Erik Agrell

Blindly decoding a signal requires estimating its unknown transmit parameters, compensating for the wireless channel impairments, and identifying the modulation type. While deep learning can solve complex problems, digital signal processing…

Signal Processing · Electrical Eng. & Systems 2021-10-26 Samer Hanna , Chris Dick , Danijela Cabric

In this paper, we address the design of codes which achieve modulation diversity in block fading single-input single-output (SISO) channels with signal quantization at receiver and low-complexity decoding. With an unquantized receiver,…

Information Theory · Computer Science 2015-03-19 Saif Khan Mohammed , Emanuele Viterbo , Yi Hong , Ananthanarayanan Chockalingam

In this paper we investigate encoding the bit-stream resulting from coarse Sigma-Delta quantization of finite frame expansions (i.e., overdetermined representations) of vectors. We show that for a wide range of finite-frames, including…

Information Theory · Computer Science 2013-07-09 Mark Iwen , Rayan Saab

A simple model system is introduced for demonstrating how a single photon source might be used to transduce classical analog information. The theoretical scheme results in measurements of analog source samples that are (i) quantized in the…

Quantum Physics · Physics 2016-09-26 Mark D. McDonnell , Adrian P. Flitney

Decoding speech from stereo-electroencephalography (sEEG) signals has emerged as a promising direction for brain-computer interfaces (BCIs). Its clinical applicability, however, is limited by the inherent non-stationarity of neural signals,…

Human-Computer Interaction · Computer Science 2025-09-30 Suli Wang , Yang-yang Li , Siqi Cai , Haizhou Li

Semantic communications have emerged as a new paradigm for improving communication efficiency by transmitting the semantic information of a source message that is most relevant to a desired task at the receiver. Most existing approaches…

Information Theory · Computer Science 2024-01-30 Yufei Bo , Yiheng Duan , Shuo Shao , Meixia Tao

We consider a time division duplex (TDD) $n_t \times n_r$ multiple-input multiple-output (MIMO) system with channel state information (CSI) at both the transmitter and receiver. We propose X- and Y-Codes to achieve high multiplexing and…

Information Theory · Computer Science 2009-12-11 Saif Khan Mohammed , Emanuele Viterbo , Yi Hong , Ananthanarayanan Chockalingam

In learning-based semantic communications, neural networks have replaced different building blocks in traditional communication systems. However, the digital modulation still remains a challenge for neural networks. The intrinsic mechanism…

Information Theory · Computer Science 2022-11-08 Yufei Bo , Yiheng Duan , Shuo Shao , Meixia Tao

In this paper, we developed new coding strategies for the Z-channel. In particular, we look at the case with two-stage encoding. In this case, the encoder uses noiseless feedback once and adjusts the further encoding strategy based on the…

Information Theory · Computer Science 2022-09-09 Alexey Lebedev , Ilya Vorobyev , Vladimir Lebedev , Christian Deppe

Multiple-input multiple-output (MIMO) or multi-antenna communication is a key technique to achieve high spectral efficiency in wireless systems. For the point-to-point MIMO channel, it is a well-known result that the channel singular value…

Information Theory · Computer Science 2016-11-17 Liang Liu , Rui Zhang

Crucial developments to the recently introduced signal-space approach for multiplexing multiple data symbols using a single-radio switched antenna are presented. First, we introduce a general framework for expressing the spatial…

Information Theory · Computer Science 2014-02-06 Mohsen Yousefbeiki , Osama N. Alrabadi , Julien Perruisseau-Carrier

In this paper, we consider the ChannelComp framework, where multiple transmitters aim to compute a function of their values at a common receiver while using digital modulations over a multiple access channel. ChannelComp provides a general…

Signal Processing · Electrical Eng. & Systems 2025-02-14 Xiaojing Yan , Saeed Razavikia , Carlo Fischione

Digital Decimation process plays an important task in a communication system. It mostly is applied in transceiver when the frequency reduction is required. However, the decimation process for sigma-delta modulator is considered in this…

Signal Processing · Electrical Eng. & Systems 2018-08-08 Rozita Teymourzadeh , Masuri Othman

An open-loop single-user multiple-input multiple-output communication scheme is considered where a transmitter, equipped with multiple antennas, encodes the data into independent streams all taken from the same linear code. The coded…

Information Theory · Computer Science 2014-11-04 Or Ordentlich , Uri Erez

We give an algorithm for finding network encoding and decoding equations for error-free multicasting networks with multiple sources and sinks. The algorithm given is efficient (polynomial complexity) and works on any kind of network…

Information Theory · Computer Science 2007-07-13 Angela I. Barbero Diez , Oyvind Ytrehus

We consider binary continuous phase modulation (CPM) signals used in some recent low-cost and low-power consumption telecommunications standard. When these signals are generated through a low-cost transmitter, the real modulation index can…

Information Theory · Computer Science 2015-09-14 Malek Messai , Colavolpe Giulio , Amis Karine , Guilloud Frederic