Impact of code rate and improvisation of the reconstructed image for CODEC
Present day modern hand held communicating devices rely on forward error correction techniques for their proper functioning. Most digital communication systems nowadays convolutionally encode the transmitted data to compensate for Additive White Gaussian Noise (AWGN), fading of the channel, quantization distortions and other data degradation effects. For its efficient performance the Viterbi algorithm has proven to be a very practical algorithm for forward error correction of convolutionally encoded messages. Convolutional coding and Viterbi decoding is one of the forward error correction technique used in most of the communication applications. This paper investigates the impact of code rates on the performance of hard decision Viterbi decoder for image transmission applications. In this paper different code rates such as 1/2, 2/3 and 3/5 have been simulated using different constraint lengths as well as different generator polynomials for the image input. For the lesser BER reconstructed image can be processed to get lesser MSE. All the simulations are conducted in MATLAB over AWGN channel.