The Viterbi Decoder block decodes every bit by tracing back through a traceback depth that you define for the block. The block implements a complete traceback for each decision bit, using registers to store the minimum state index and branch decision in the traceback decoding unit.

Decode the binary demodulated signal by using a Viterbi decoder operating in a continuous termination mode. dataOut = vitdec(demodSig,trellis,tbdepth, 'cont' , 'hard' ); Calculate the delay through the decoder, and account for the decoding delay when computing the BER.

The Viterbi algorithm is renowned as a maximum likelihood (ML) decoding technique for convolutional codes. The path memory unit in an (n,k,m) Viterbi Decoder is responsible for keeping track of the information bits associated with the …

MATLAB source code for a Viterbi decoder designed for a convolutional encoder with constraint length 5. Includes encoder specifications and decoder configuration.

The MATLAB codes are executed for signal to noise ratio (Eb/No) with respect to bit error rate (BER) using binary convolution coding (BCC) and hard decision Viterbi decoding (HDVD) algorithm.

The Viterbi Decoder block accepts input samples as hard-decision binary values or soft-decision log-likelihood-ratios (LLR). Each sample is a column vector, whose length depends on the encoding scheme.

In this paper, I present the convolution encoder and Viterbi decoder for constraint length 4 and bit rate 1/2. In addition, a Viterbi decoder is developed in MATLAB. Keywords — Convolution Encoder, Viterbi decoder, trellis structure. 1. INTRODUCTION.

Matlab Implementation of the Viterbi Decoder. Contribute to tchandrahas/Viterbi-Decoder development by creating an account on GitHub.

Applications of Viterbi Decoding-Error Correction in Communication Systems (e.g., GSM, LTE, deep-space communication). -Turbo Codes and Trellis-Coded Modulation (TCM). -Speech and Pattern Recognition (e.g., Hidden Markov Models). -Decoding in …

Nov 5, 2012 · The viterbi decoder is optimized in terms of run time by recursively updating the total weight at each state stream in trellis, also the decoding to select the minimum weight branch is made using the minimum weight contributing parent selection at each time step.