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Convolutional Encoder/Decoder of Rate 1/N Codes

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In this project, we seek to minimize the gap-to-capacity (given by Shannon'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

Free download from Shareware Connection - In this project, we seek to minimize the gap-to-capacity (given by Shannon's theoretical limit) of a rate 1/3 code (also can be modified for 1/N

Publisher: Romeil Sandhu | License: Freeware | Price: 0.00
Version: 1.0 | Size: 492 KB | Platform: Matlab, Scripts
Released Date: 26-05-2013 | Rating: 0 | Title: Convolutional Encoder/Decoder of Rate 1/N Codes

Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/25859/4/rate_1_N_convolution_code.zip

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