Multiple‐input symbol generalised differential Golden code modulation

2021 ◽  
Author(s):  
Gevira Omondi ◽  
Hongjun Xu ◽  
Peter Akuon ◽  
Narushan Pillay
Keyword(s):  
Input Symbol ◽  
Multiple Input ◽  
Code Modulation ◽  
Golden Code

scholarly journals On Golden Code Performances in Impulsive Noise MIMO Channels

2021 ◽  
pp. 99-103
Author(s):  
Mihaela Andrei ◽  
◽  
George Petrea ◽  
Viorel Nicolau
Keyword(s):  
Impulsive Noise ◽  
Multiple Input Multiple Output ◽  
Noise Model ◽  
Model Parameters ◽  
Error Correction Codes ◽  
Mimo Channels ◽  
Noise Sources ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Golden Code

Wireless technologies are the ones who provide fast communications on long distances. MIMO (Multiple-Input-Multiple-Output) Systems become an important factor in communication standards. At the beginning, this technology involved several antennas for both transmission and reception. Nowadays, in order to improve the performance of wireless transmissions, in addition to multi-channel propagation, error correction codes are used. Golden Code has some advantages, such as: maximum rate and diversity or coding gain. In this paper it is proposed an approach of using this code to mitigate the impulsive noise effects in a MIMO communication system. The Middleton Class-A noise was considered. The simulation was done for different values of the impulsive noise model parameters and showed that the probability density function depends on index impulse and on gaussian factor and the number of noise sources has no influence.

An Effective Model of the Overshooting Effect for Multiple-Input Gates in Nanometer Technologies

2014 ◽  
Vol E97.A (5) ◽  
pp. 1059-1074
Author(s):  
Li DING ◽  
Zhangcai HUANG ◽  
Atsushi KUROKAWA ◽  
Jing WANG ◽  
Yasuaki INOUE
Keyword(s):  
Effective Model ◽  
Multiple Input

Model Fungsi Transfer Input Ganda untuk Pemodelan Jakarta Islamic Index

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Nur Laela Fitriani ◽  
Pika Silvianti ◽  
Rahma Anisa
Keyword(s):  
Exchange Rate ◽  
Transfer Function ◽  
Multivariate Time Series ◽  
Model Identification ◽  
Transfer Function Model ◽  
Function Model ◽  
Jones Index ◽  
Multiple Input ◽  
Identification Stage ◽  
Stage Estimation

Transfer function model with multiple input is a multivariate time series forecasting model that combines several characteristics of ARIMA models by utilizing some regression analysis properties. This model is used to determine the effect of output series towards input series so that the model can be used to analyze the factors that affect the Jakarta Islamic Index (JII). The USD exchange rate against rupiah and Dow Jones Index (DJI) were used as input series. The transfer function model was constructed through several stages: model identification stage, estimation of transfer function model, and model diagnostic test. Based on the transfer function model, the JII was influenced by JII at the period of one and two days before. JII was also affected by the USD exchange rate against rupiah at the same period and at one and two days before. In addition, the JII was influenced by DJI at the same period and also at period of one until five days ago. The Mean Absolute Prencentage Error (MAPE) value of forecasting result was 0.70% and the correlation between actual and forecast data was 0.77. This shows that the model was well performed for forecasting JII.

General Theory for Multiple Input-Output Perturbations in Complex Molecular Systems. 1. Linear QSPR Electronegativity Models in Physical, Organic, and Medicinal Chemistry

2013 ◽  
Vol 13 (14) ◽  
pp. 1713-1741 ◽  
Author(s):  
Humberto Gonzalez-Diaz ◽  
Sonia Arrasate ◽  
Asier Gomez-SanJuan ◽  
Nuria Sotomayor ◽  
Esther Lete ◽  
...  
Keyword(s):  
General Theory ◽  
Medicinal Chemistry ◽  
Input Output ◽  
Molecular Systems ◽  
Physical Organic ◽  
Multiple Input

Abstract Characterization of Input Symbol Semigroups of Universal Hypergraphic Automata

2020 ◽  
Vol 41 (2) ◽  
pp. 214-226
Author(s):  
E. V. Khvorostukhina ◽  
V. A. Molchanov
Keyword(s):  
Input Symbol ◽  
Abstract Characterization
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