Title :
Neural network error correcting decoders for block and convolutional codes
Author :
Caid, William R. ; Means, Robert W.
Abstract :
The use of neural networks as error correcting decoders is described. It is shown that the neural networks may offer advantages in electronic countermeasure (ECM) environments in which the convolutional design assumptions of additive white Gaussian noise (AWGN) and a binary symmetric channel (BSC) are violated. Some results of preliminary studies and benefits of the neural-based decoder approach are discussed
Keywords :
decoding; electronic countermeasures; error correction; neural nets; AWGN; ECM environments; additive white Gaussian noise; binary symmetric channel; block codes; convolutional codes; convolutional design; electronic countermeasure; error correcting decoders; neural networks; neural-based decoder; AWGN; Additive white noise; Character generation; Computational modeling; Convolutional codes; Decoding; Electrochemical machining; Error correction codes; Jamming; Neural networks;
Conference_Titel :
Global Telecommunications Conference, 1990, and Exhibition. 'Communications: Connecting the Future', GLOBECOM '90., IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-87942-632-2
DOI :
10.1109/GLOCOM.1990.116658
