The present invention relates to an error correction encoding method (100) for encoding so-called source digital data (30), having the form of a frame (102), wherein said data can be classified into N classes, where N is an integer at least equal to 2. The encoding method according to the invention comprises: - a first step of recursive systematic convolutional encoding (1101) of the data of the class 1 (1021); - an implementation of the following steps, for each n ranging from 1 to M, where M is a positive integer equal to or lower than N-1: - nth mixing (108n+1) of a set formed by data of the class n+1 (102n+1), the systematic data and the parity data from a preceding encoding step; - (n + 1)th recursive systematic convolutional encoding (110n+1) of data formed by the result of nth mixing. The invention also relates to a method for decoding encoded data with the encoding method according to the invention, as well as associated encoding device and decoding device. | L'invention concerne un procédé de codage de correction d'erreurs (100) pour coder des données numériques sources (30) présentant la forme d'une trame (102), lesquelles données peuvent être classifiées en N classes, N étant un entier relatif au moins égal à 2. Le procédé de codage selon l'invention comprend: - une première étape de codage convolutionnel systématique récursif (1101) des données de la classe 1 (1021);
