Even without describing the full structure of the system perfectly, such signal models can make possible very effective data compression through entropy encoding techniques such as arithmetic coding.
Data compression which explicitly tries to minimize the average length of messages according to a particular assumed probability model is called entropy encoding.
The coding algorithm uses a hybrid of motion compensated inter-picture prediction and spatial transform coding with scalar quantization, zig-zag scanning and entropy encoding.
