Neural Network Convolutional Decoder (NNCD) - towards software defined radio

2003 ◽  
Author(s):  
T.E. Dodgson
Keyword(s):  
Neural Network ◽  
Software Defined Radio

scholarly journals Artificial Neural Network Controller for a Modular Robot Using a Software Defined Radio Communication System

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1626
Author(s):  
Luis Fernando Pedraza ◽  
Henry Alberto Hernández ◽  
Cesar Augusto Hernández
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Software Defined Radio ◽  
Signal To Noise Ratio ◽  
Flexible Structures ◽  
Modular Robots ◽  
Modular Robot ◽  
Radio Communication ◽  
Neural Network Controller ◽  
Artificial Neural

Modular robots are flexible structures that offer versatility and configuration options for carrying out different types of movements; however, disconnection problems between the modules can lead to the loss of information, and, therefore, the proposed displacement objectives are not met. This work proposes the control of a chain-type modular robot using an artificial neural network (ANN) that enables the robot to go through different environments. The main contribution of this research is that it uses a software defined radio (SDR) system, where the Wi-Fi channel with the best signal-to-noise Ratio (SNR) is selected to send the information regarding the simulated movement parameters and obtained by the controller to the modular robot. This allows for faster communication with fewer errors. In case of a disconnection, these parameters are stored in the simulator, so they can be sent again, which increases the tolerance to communication failures. Additionally, the robot sends information about the average angular velocity, which is stored in the cloud. The errors in the ANN controller results, in terms of the traveled distance and time estimated by the simulator, are less than 6% of the real robot values.

scholarly journals SIGNAL RECOGNITION SYSTEM MACHINE LEARNING ALGORITHM

2020 ◽  
pp. 053-059
Author(s):  
D. E. SCHUMACHER ◽  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Software Defined Radio ◽  
Learning Algorithm ◽  
Recognition System ◽  
Digital Information ◽  
Signal Recognition ◽  
Radio System ◽  
The Neural Network ◽  
Radio Signals

The article provides a comparative analysis of processing algorithms for digital information methods of machine learning. A research system for recognizing radio signals based on an artificial neural network as part of a software-defined radio system (SDR). The neural network was designed in the MatLab program, simulation signals were generated, and an algorithm for training the neural network was developed.

Universal Neural Network Demodulator for Software Defined Radio

2011 ◽  
Vol 3 (3) ◽  
pp. 263-268 ◽  
Author(s):  
Mohammad Reza Amini ◽  
Einollah Balarastaghi ◽  
Boroujerd Branch
Keyword(s):  
Neural Network ◽  
Software Defined Radio

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural
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