Results 241 to 250 of about 5,046,998 (306)

A Cost-Efficient Digital ESN Architecture on FPGA for OFDM Symbol Detection

ACM Journal on Emerging Technologies in Computing Systems, 2021
The echo state network (ESN) is a recently developed machine-learning paradigm whose processing capabilities rely on the dynamical behavior of recurrent neural networks.
Victor Gan, Yibin Liang, Lianjun Li, Lingjia Liu, Y. Yi   +4 more
semanticscholar   +1 more source

Continuous-time single-symbol IR-UWB symbol detection

2012 IEEE International SOC Conference, 2012
RAKE based receivers are the most challenging receiver due to its hardware implementation complexity. To build a cross-correlating RAKE receiver with on-off keying pose significant design challenges due to multipath components. Also process variations in 90 nm CMOS technology impose significant challenges in the clockless system.
Shanthi Sudalaiyandi, Tuan-Anh Vu, Hakon A. Hjortland, Oivind Nass, Tor Sverre Lande   +4 more
openaire   +1 more source

Deep learning framework for geological symbol detection on geological maps

Computational Geosciences, 2021
Dynamic legend generation for geological maps aims to detect and identify geological map symbols within the current viewshed and generate a corresponding real-time legend to help users quickly obtain the name and meaning of symbols.
Mingqiang Guo, Wei Bei, Ying Huang, Zhanlong Chen, Xiaozhen Zhao   +4 more
semanticscholar   +1 more source

Minimum Error Pursuit Algorithm for Symbol Detection in MBM Massive-MIMO

IEEE Communications Letters, 2021
Media-based modulation (MBM) with massive multiple-input multiple-output (mMIMO) wireless systems is a viable solution to realize the ever-increasing demand for high-speed data and extensive connectivity in beyond 5G and 6G wireless communications.
Arijit Datta, Manish Mandloi, V. Bhatia
semanticscholar   +1 more source

Multiple symbol differential detection for UWB communications

IEEE Transactions on Wireless Communications, 2008
Multiple symbol differential detection (MSDD) offers high-performance symbol recovery and bypasses training or channel estimation, which are highly desired features in low- power ultra-wideband (UWB) communications. However, UWB impulse radios entail distinct signaling structures and stringent performance-complexity requirements, giving rise to the ...
LOTTICI, Vincenzo, TIAN, Zhi
openaire   +1 more source

SSCMSD - Single-Symbol Correction Multi-symbol Detection for DRAM Subsystem

2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing (PRDC), 2018
As DRAM technology continues to evolve towards smaller feature sizes and increased densities, faults in DRAM subsystem are becoming more severe. Current servers mostly use CHIPKILL based schemes to tolerate up-to one/two symbol errors per DRAM beat. Multi-symbol errors arising due to faults in multiple data buses and chips may not be detected by these ...
Ravikiran Yeleswarapu, Arun K. Somani
openaire   +1 more source

Semi-Blind Joint Channel Estimation and Symbol Detection for Multi-RIS Aided MIMO Systems

IEEE Wireless Communications Letters
In multiple Reconfigurable Intelligent Surface (RIS)-assisted Multiple Input Multiple Output (MIMO) communication systems, the estimation of multi-hop cascaded channels poses significant challenges.
Ni Li, Rujing Xiong, Yansha Deng, Fuxin Xu, Honggui Deng   +4 more
semanticscholar   +1 more source

A new multi-symbol differential detection with linear interpolation based on symbol error position detection

2008 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2008
In this paper, we propose a new multi-symbol differential detection (MSDD) with linear interpolation (LI) based on symbol error position detection (SEPD) in order to improve the performance of differential detection system. To reduce the effect of symbol error, we estimate a symbol error position, and then compensate it with LI. Simulation results show
null Soon-Chan Kwon, null Jong-Soo Seo
openaire   +1 more source

DNN-SNN Co-Learning for Sustainable Symbol Detection in 5G Systems on Loihi Chip

IEEE Transactions on Sustainable Computing
Performing symbol detection for multiple-input and multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems is challenging and resource-consuming. In this paper, we present a liquid state machine (LSM), a type of reservoir computing
Shiya Liu, Yibin Liang, Yang Yi
semanticscholar   +1 more source

Symbol Detection in CDMA-OFDM Coexistence

2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, 2006
Code division multiple access (CDMA) and orthogonal frequency division multiplexing (OFDM) are two techniques that are being commonly used in most wireless communication systems. In this paper we examine the coexistence of the above schemes through a two user communication system, i.e., one user transmits using CDMA and the other transmits using OFDM ...
G.V.V. Sharma, S.H. Srinivasan
openaire   +1 more source