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Symbol-by-Symbol Maximum Likelihood Detection for Cooperative Molecular Communication [PDF]

IEEE Transactions on Communications, 2019
In this paper, symbol-by-symbol maximum likelihood (ML) detection is proposed for a cooperative diffusion-based molecular communication (MC) system. In this system, the transmitter (TX) sends a common information symbol to multiple receivers (RXs) and a fusion center (FC) chooses the TX symbol that is more likely, given the likelihood of its ...
Yuting Fang, Rodney A. Kennedy, Nan Yang
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Multiple-symbol differential detection of MPSK

IEEE Transactions on Communications, 1990
A differential detection technique for MPSK (multiple-phase shift keying), which uses a multiple-symbol observation interval, is presented, and its performance is analyzed and simulated. The technique makes use of maximum-likelihood sequence estimation of the transmitted phases rather than symbol-by-symbol detection as in the conventional differential ...
M K Simon, D Divsalar
exaly   +2 more sources

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, Håkon A. Hjortland, Øivind Næss, Tor Sverre Lande   +4 more
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Space-Time Block Codes with Symbol-by-Symbol Maximum Likelihood Detections

2009 IEEE International Conference on Communications, 2009
This paper presents a new set of quasi-orthogonal space-time block codes (QOSTBCs) with symbol-by-symbol maximum likelihood (ML) detections for four transmit antennas over quasi-static Rayleigh fading channels. Each of them is analytically proved to achieve full diversity and the same coding gains as the coordinate-interleaved orthogonal design by ...
Ming-Yang Chen, John M. Cioffi
openaire   +3 more sources

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

Detecting structure by symbolic constructions on tokens

Computer Vision, Graphics, and Image Processing, 1987
Geometric organization is readily detected in discrete textures such as dot patterns. A common proposal is that orientation-tuned receptive field mechanisms provide the local orientation information from which the global organizations emerge. Alternatively, the local orientation might be attributed to grouping constructions between adjacent tokens ...
Kent A. Stevens, Allen Brookes
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Active Detection for Symbol-Level Jamming

IEEE Transactions on Wireless Communications
Yuxin Shi, Lu Xinjin, Kang An
exaly   +2 more sources

Symbol Detection with Deep Learning

International Journal of Advanced Natural Sciences and Engineering Researches, 2023
This study shows the feasibility of detecting some symbols from a distance. Therefore, it will be possible to use these symbols as identification of things, e.g. people, vehicles, objects, information labels etc. There is such a necessity especially for construction sites to know the rough location of workers.
BECERİKLİ, YAŞAR, ASLAN, FATİH
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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
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Duplicate detection for symbolically compressed documents

Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318), 1999
A new family of symbolic compression algorithms has recently been developed that includes the ongoing JBIG2 standardization effort as well as related commercial products. These techniques are specifically designed for binary document images. They cluster individual blobs in a document and store the sequence of occurrence of blobs and representative ...
Dar-Shyang Lee, Jonathan J. Hull
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