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Remote sensing change detection (RSCD) aims to identify the changes of interest in a region by analyzing multi-temporal remote sensing images, and has an outstanding value for local development monitoring. Existing RSCD methods are devoted…

Computer Vision and Pattern Recognition · Computer Science 2024-06-21 Xiaowen Ma , Jiawei Yang , Rui Che , Huanting Zhang , Wei Zhang

This paper considers iterative detection and decoding on the concatenated communication channel consisting of a two-dimensional magnetic recording (TDMR) channel modeled by the four-grain rectangular discrete grain model (DGM) proposed by…

Information Theory · Computer Science 2014-01-24 Jiyang Yu , Michael Carosino , Krishnamoorthy Sivakumar , Benjamin J. Belzer , Yiming Chen

A multi-access multiple-input multiple-output (MIMO) relay differential chaos shift keying cooperative diversity (DCSK-CD) system is proposed in this paper as a comprehensive cooperation scheme, in which the relay and destination both…

Other Computer Science · Computer Science 2016-11-18 Yi Fang , Jing Xu , Lin Wang , Guanrong Chen

Recently, a number of authors have proposed decoding schemes for Reed-Solomon (RS) codes based on multiple trials of a simple RS decoding algorithm. In this paper, we present a rate-distortion (R-D) approach to analyze these…

Information Theory · Computer Science 2009-08-21 Phong S. Nguyen , Henry D. Pfister , Krishna R. Narayanan

Ultrasonic intra-body communication (IBC) is a promising enabling technology for future healthcare applications, due to low attenuation and medical safety of ultrasonic waves for the human body. A splitting receiver, referred to as the…

Information Theory · Computer Science 2021-01-06 Qianqian Wang , Quansheng Guan , Julian Cheng , Fei Ji

Multivariate Time Series Anomaly Detection (MTSAD) is critical for real-world monitoring scenarios such as industrial control and aerospace systems. Mainstream reconstruction-based anomaly detection methods suffer from two key limitations:…

Machine Learning · Computer Science 2026-04-13 Jun Liu , Ying Chen , Ziqian Lu , Qinyue Tong , Jun Tang

This paper presents a large-system analysis of the performance of joint channel estimation, multiuser detection, and per-user decoding (CE-MUDD) for randomly-spread multiple-input multiple-output (MIMO) direct-sequence code-division…

Information Theory · Computer Science 2016-11-15 Keigo Takeuchi , Mikko Vehkaperae , Toshiyuki Tanaka , Ralf R. Mueller

A promising waveform candidate for future joint sensing and communication systems is orthogonal frequencydivision multiplexing (OFDM). For such systems, supporting multiple transmit antennas requires multiplexing methods for the generation…

Information Theory · Computer Science 2023-03-23 Oliver Lang , Christian Hofbauer , Reinhard Feger , Mario Huemer

In low latency applications and in general, for overspread channels, channel delay spread is a large percentage of the transmission frame duration. In this paper, we consider OTFS in an overspread channel exhibiting a delay spread that…

Information Theory · Computer Science 2024-04-15 Preety Priya , Yi Hong , Emanuele Viterbo

We propose blind adaptive multi-input multi-output (MIMO) linear receivers for DS-CDMA systems using multiple transmit antennas and space-time block codes (STBC) in multipath channels. A space-time code-constrained constant modulus (CCM)…

Information Theory · Computer Science 2013-01-01 Rodrigo C. de Lamare , Raimundo Sampaio-Neto

Scene change detection (SCD), a crucial perception task, identifies changes by comparing scenes captured at different times. SCD is challenging due to noisy changes in illumination, seasonal variations, and perspective differences across a…

Computer Vision and Pattern Recognition · Computer Science 2022-08-12 Vijaya Raghavan T. Ramkumar , Elahe Arani , Bahram Zonooz

Learning interpretable disentangled representations is a crucial yet challenging task. In this paper, we propose a weakly semi-supervised method, termed as Dual Swap Disentangling (DSD), for disentangling using both labeled and unlabeled…

Computer Vision and Pattern Recognition · Computer Science 2020-01-03 Zunlei Feng , Xinchao Wang , Chenglong Ke , Anxiang Zeng , Dacheng Tao , Mingli Song

The main objective of this paper is to compare block transmission system performance analytically for Code Divisional Multiple Access (CDMA) modulations in Generalized Multicarrier environment against linear modulation techniques for both…

Information Theory · Computer Science 2013-06-03 Anwarul Azim

Recent studies have demonstrated that gradient matching-based dataset synthesis, or dataset condensation (DC), methods can achieve state-of-the-art performance when applied to data-efficient learning tasks. However, in this study, we prove…

Computer Vision and Pattern Recognition · Computer Science 2022-06-17 Saehyung Lee , Sanghyuk Chun , Sangwon Jung , Sangdoo Yun , Sungroh Yoon

Diffusion transformers have demonstrated remarkable generation quality, albeit requiring longer training iterations and numerous inference steps. In each denoising step, diffusion transformers encode the noisy inputs to extract the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Shuai Wang , Zhi Tian , Weilin Huang , Limin Wang

Time-division multiplexed (TDM) channel sounders, in which a single RF chain is connected sequentially via an electronic switch to different elements of an array, are widely used for the measurement of double-directional/MIMO propagation…

Information Theory · Computer Science 2018-05-22 Rui Wang , Olivier Renaudin , C. Umit Bas , Seun Sangodoyin , Andreas F. Molisch

In Integrated Sensing And Communication (ISAC) systems, estimating the micro-Doppler (mD) spectrogram of a target requires combining channel estimates retrieved from communication with ad-hoc sensing packets, which cope with the sparsity of…

Signal Processing · Electrical Eng. & Systems 2024-12-05 Federico Mason , Jacopo Pegoraro

The use of up to hundreds of antennas in massive multi-user (MU) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) poses a complexity challenge for digital predistortion (DPD) aiming to linearize the…

Signal Processing · Electrical Eng. & Systems 2024-10-25 Yibo Wu , Ulf Gustavsson , Mikko Valkama , Alexandre Graell i Amat , Henk Wymeersch

We present a new deep-neural-network (DNN) based error correction code for fading channels with output feedback, called deep SNR-robust feedback (DRF) code. At the encoder, parity symbols are generated by a long short term memory (LSTM)…

Information Theory · Computer Science 2021-12-23 Mahdi Boloursaz Mashhadi , Deniz Gunduz , Alberto Perotti , Branislav Popovic

The recently proposed affine frequency division multiplexing (AFDM) modulation has been considered as a promising technology for narrowband doubly-dispersive channels. However, the time-scaling effects, i.e., pulse widening and pulse…

Performance · Computer Science 2025-07-08 Xiangxiang Li , Haiyan Wang , Yao Ge , Xiaohong Shen , Yong Liang Guan , Miaowen Wen , Chau Yuen
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