제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 2002년도 ICCAS
- /
- Pages.89.1-89
- /
- 2002
A Convolutional Decoder using a Serial Input Neuron
- Kim, Kyunghun (Kyungpook Nat'1 Univ.) ;
- Lee, Chang-Wook (Kyungpook Nat'1 Univ.) ;
- Jeon, Gi-Joon (Kyungpook Nat'1 Univ.)
- 발행 : 2002.10.01
초록
Conventional multilayer feedforward artificial neural networks are very effective in dealing with spatial problems. To deal with problems with time dependency, some kinds of memory have to be built in the processing algorithm. In this paper we show how the newly proposed Serial Input Neuron (SIN) convolutional decoders can be derived. As an example, we derive the SIN decoder for \ulcornerrate code with constraint length 3. The SIN is tested in Gaussian channel and the results are compared to the results of the optimal Viterbi decoder. A SIN approach to decode convolutional codes is presented. No supervision is required. The decoder lends itself to pleasing implementations in hardware and processing...
키워드