Convolutional Encoder/Decoder of Rate 1/N Codes (Scripts) Publisher's description
from Romeil Sandhu
In this project, we seek to minimize the gap-to-capacity (given by ShannonвЂ™s theoretical limit) of a rate 1/3 code (also can be modified for 1/N
In this project, we seek to minimize the gap-to-capacity (given by ShannonвЂ™s theoretical limit) of a rate 1/3 code (also can be modified for 1/N). This is done via a convolutional encoder/decoder for varying memory elements as well for both soft and hard decoding scheme. We show that the gap-to-capacity can be minimized with respect to the suboptimal un-coded code word or a (3,1) repetition code. Although better schemes are available such as LDPC and turbo codes, we have chosen the convolutional code for its simplicity and generality. Our model of transmission is binary-input AWGN channel. Also, I attached my paper to demonstrate how the code can be easily modified for other rates and different varying element sizes. Provides detail overview of Convolution Coding scheme.
For More Information: http://www.romeilsandhu.com
System Requirements:MATLAB 7.6 (R2008a)
Program Release Status: New Release
Program Install Support: Install and Uninstall