We’ll focus on a specific convolutional code in this lecture, study its encoding and view the code through a few diferent perspectives. The encoder takes a binary information sequence b1, b2, …

This chapter describes the encoder and decoder structures for convolutional codes. The encoder will be represented in many different but equivalent ways. Also, the main decoding strategy for …

In this chapter we will concentrate on rate-1/n binary linear time-invariant convolutional codes, which are the simplest to understand and also the most useful in the power-limited regime. …

Often convolutional codes are used as inner codes with burst error correcting block codes as outer codes to form concatenated codes. Errors in Viterbi-like decoding algorithms for …

Chapter 5 Convolutional Codes • 5.1 Encoder Structure and Trellis Representation • 5.2 Systematic Convolutional Codes • 5.3 Viterbi Decoding Algorithm • 5.4 Soft-Decision Viterbi …

Convolutional Codes • Let F2(D) be the set of rational functions with coefficients in F2 • A convolutional encoder is a linear mapping from Fk 2 ((D)) to Fn 2 ((D)) which can be …

Y. S. Han Introduction to Binary Convolutional Codes 1 Binary Convolutional Codes 1. A binary convolutional code is denoted by a three-tuple (n,k,m). 2. n output bits are generated …

Convolution codes were first introduced by Elias [1] in 1955 as an alternative to block codes. m previous input blocks. An (n, k, m) convolutional code can be implemented with a k-input, n …

In telecommunication, a convolutional code is a type of error-correcting code that generates parity symbols via the sliding application of a boolean polynomial function to a data stream. The …

Convolutional code is another type of error-correcting code where the output bits are obtained by performing a desired logical operation on a present bitstream along with consideration of some …