The Intel® FPGA Viterbi Compiler generates high-performance, soft-decision Viterbi MegaCore® functions that implement a wide range of standard Viterbi decoders.
Viterbi decoding (also known as maximum likelihood decoding or forward dynamic programming) is the most common way of decoding convolutional codes by using an asymptotically optimum decoding technique. In its basic form, Viterbi decoding is an efficient, recursive algorithm that performs an optimal exhaustive search. A convolutional encoder and Viterbi decoder are typically used together to provide error correction over a noisy channel. For example, a communications channel.