Results 261 to 270 of about 5,046,998 (306)

Deep Learning based Symbol Detection for Molecular Communications

International Workshop on Ant Colony Optimization and Swarm Intelligence, 2020
Molecular communication (MC) can play an indispensable role in nanonetworks and Internet of Bio-nano Things based applications. However, inter-symbol interference (ISI), due to slow diffusion of molecules can severely degrade system’s performance.
S. Sharma, Dharmendra Dixit, K. Deka
semanticscholar   +1 more source

Convolutional Autoencoder for Compressive Symbol Detection

2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018
This paper deals with a problem of digital communication which samples a signal compressively below its symbol rate and restores the original message symbols. We propose a method to optimize the sensing and restoration modules by designing them as the encoder and decoder of a convolutional autoencoder.
Jae-Hyuck Park, Yookyung Kim
openaire   +1 more source

Detecting anomalies in symbolic sequence dataset

Proceedings 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), 2011
This paper presents an anomaly detection technique for symbolic sequences based on support vector data description (SVDD). It introduces the longest common subsequence (LCS) distance metric to compute pairwise similarity between sequences. We extend the kernel method to the analysis of variable-length sequences by embedding the LCS distance into the ...
null Xin Wang, null Yaxi Xu
openaire   +1 more source

Symbolic dynamics based bearing fault detection

2012 IEEE 5th India International Conference on Power Electronics (IICPE), 2012
Most of the time domain methods for bearing condition monitoring are machine and load dependent or involves complex mathematical calculations or need of training the algorithm. To overcome the above issues, symbolic dynamics based method is proposed. The time series vibration data is converted into symbolic series from which dictionary of the signal is
Bubathi Muruganatham M.A. Sanjith, C. Sujatha, T. Jayakumar   +2 more
openaire   +1 more source

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
S.L. Miller, R.J. O'Dea
openaire   +1 more source

Symbolic feature detection for image understanding

SPIE Proceedings, 2014
In this study we propose a model-driven codebook generation method used to assign probability scores to pixels in order to represent underlying local shapes they reside in. In the first version of the symbol library we limited ourselves to photometric and similarity transformations applied on eight prototypical shapes of flat plateau , ramp, valley ...
Aslan S., Akgul C. B., Sankur B.
openaire   +3 more sources

Symbol-by-symbol detection for turbo-coded FTN aided with precoding

SPIE Proceedings, 2016
Faster-than-Nyquist (FTN) signaling has been considered a promising technique for higher frequency bandwidth efficiency. However, symbol detection at the receiver suffers rather high computation complexity due to the intentionally introduced infinite inter-symbol interference (ISI) caused by the way of FTN signaling.
Xiaoduo Xing, Aijun Liu, Xiaohu Liang, Xian Liu   +3 more
openaire   +1 more source

Low-complexity parallel-structure symbol-by-symbol detection for ISI channels

Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, 2003
The problem of practical realization of the optimal fixed-delay symbol-by-symbol detection algorithm is investigated. A new structure is developed which is fully parallel with a speedup factor of 2/sup D+1/ (compared to serial implementation), where D is the delay constraint.
J.A. Erfanian, S. Pasupathy
openaire   +1 more source

Optimal multicarrier faster-than-Nyquist signaling under symbol-by-symbol detection

Digital Signal Processing, 2018
Abstract We consider the multicarrier faster-than-Nyquist (MFTN) signaling under low complexity symbol-by-symbol detection, where the lattice structure and time-frequency spacing play key roles in determining the system performance. Specifically, the energy of intersymbol interference (ISI) and intercarrier interference (ICI) introduced by time ...
Peng, Siming, Liu, Aijun, Tong, Xinhai, Wang, Ke, Colavolpe, Giulio   +4 more
openaire   +2 more sources

Symbol Detection of Phase Noise-Impaired Massive MIMO Using Approximate Bayesian Inference

IEEE Signal Processing Letters, 2019
In this letter, we investigate the symbol detection of an uplink massive multiple-input multiple-output system impaired by phase noise at the transmitter and receiver sides.
Xi Yang, Shi Jin, Chao-Kai Wen
semanticscholar   +1 more source