Results 251 to 260 of about 3,228,583 (292)

Multiple symbol noncoherent detection of GMSK

ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220), 2002
This paper studies the problem of noncoherent detection of Gaussian minimum shift keying (GMSK). Particular attention is focussed on the popular case of BT=0.25, but the concepts presented apply to other cases as well in addition to the general case of continuous phase frequency shift keying (CPFSK). The optimum noncoherent detector is shown to consist
Scott L. Miller, Robert J. O'Dea
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   +2 more sources

Near-optimal symbol-by-symbol detection schemes for flat Rayleigh fading

1994 IEEE GLOBECOM. Communications: The Global Bridge, 1995
The optimal MAP detection algorithm for demodulation of M-QAM signaling in the frequency flat Rayleigh fading channel is proposed. A recursive structure is derived which allows for symbol-by-symbol metrics to be computed and data decisions to be made in an efficient manner.
James P. Seymour, Michael P. Fitz
openaire   +2 more sources

Polynomial complexity ML sequence and symbol-by-symbol detection in fading channels

IEEE International Conference on Communications, 2003. ICC '03., 2004
The related problems of maximum likelihood sequence detection (MLSD) and symbol-by-symbol soft-decision metric (SbSSDM) generation in complex Gaussian flat-fading channels are considered in this paper. Traditional methods for the exact solution of these problems have exponential complexity with respect to the sequence length. In this paper, it is shown
Idin Motedayen-Aval, Achilleas Anastasopoulos   +1 more
openaire   +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   +2 more sources

A jointed mode detection and symbol detection scheme for DVB-T

IEEE Transactions on Consumer Electronics, 2008
This work proposes a jointed mode detection and symbol detection scheme for DVB-T. To reduce hardware complexity, the division operation of normalized maximum correlation (NMC) is removed and the delay line which uses twisted memory access method lowers the hardware cost.
Wei-Ting Chen, Wei-Chang Liu, Shyh-Jye Jou   +2 more
exaly   +3 more sources

A constraint network for symbol detection in architectural drawings

1998
A network used to detect and recognize several different symbols (doors, windows...) in scanned architectural drawings is presented. This network, based on Messmer's network for exact and inexact graph matching, presents a compact representation of all the symbols, which allows a one-pass search.
openaire   +2 more sources

Detecting Implicit Indeterminates in Symbolic Computation

2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2022
openaire   +2 more sources

Deep Learning Based Symbol Detection With Natural Redundancy for Non-Uniform Memoryless Sources

IEEE Communications Letters, 2023
Jianping Du, Zhen-Yu Wang, Hongyi Yu
exaly  

Low Complexity Parallel Symbol Detection for OTFS Modulation

IEEE Transactions on Vehicular Technology, 2023
Jianhua Chen, Jinhong Yuan, Meng Tang
exaly