A method, an apparatus and a computer program product for encoding and decoding of digital media content

An apparatus, comprising at least one processor, memory including computer program code, the memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following obtaining a set of input samples;

• obtaining a triangular matrix, a cross-correlation vector and a scaling vector by utilizing the set of input samples;
• determining an intermediate vector with a first back-substitution using the triangular matrix and the cross-correlation vector;
• scaling the intermediate vector using the scaling vector to obtain a scaled intermediate vector;
• determining a filter coefficient vector with a second back-substitution using the triangular matrix and the scaled intermediate vector;
• and
• determining predicted sample values for a block of samples based on the filter coefficient vector.

A method, comprising

• obtaining a set of input samples;
• obtaining a triangular matrix, a cross-correlation vector and a scaling vector by utilizing the set of input samples;
• determining an intermediate vector with a first back-substitution using the triangular matrix and the cross-correlation vector;
• scaling the intermediate vector using the scaling vector to obtain a scaled intermediate vector;
• determining a filter coefficient vector with a second back-substitution using the triangular matrix and the scaled intermediate vector;
• and
• determining predicted sample values for a block of samples based on the filter coefficient vector.

A computer program product comprising a computer readable storage medium having program code portions stored thereon, the program code portions configured, upon execution, to

• obtain a set of input samples;
• obtain a triangular matrix, a cross-correlation vector and a scaling vector by utilizing the set of input samples;
• determine an intermediate vector with a first back-substitution using the triangular matrix and the cross-correlation vector;
• scale the intermediate vector using the scaling vector to obtain a scaled intermediate vector;
• determine a filter coefficient vector with a second back-substitution using the triangular matrix and the scaled intermediate vector;
• and
• determine predicted sample values for a block of samples based on the filter coefficient vector.