The contextual coding of data requires in general a step which reduces the vast variety of possible contexts down to a feasible number. This paper presents a new method for non-uniform quantisation of ...

Arithmetic coding is a form of entropy encoding used in lossless data compression. Normally, a string of characters such as the words "hello there" is represented using a fixed number of bits per ...

Unified speech and audio codecs often use a frequency domain coding technique of the transform coded excitation (TCX) type. It is based on modeling the speech source with a linear predictor, spectral ...

The arithmetic coding uses nearly exact probabilities which easily approaching theoretical compression rate limit (Shannon entropy), but at cost of much larger computational cost. Asymmetric numeral ...

Learn how to use entropy coding and source coding to reduce the rate and distortion of quantized data in digital communication.

Learn how to optimize the trade-off between compression ratio and complexity in entropy coding, a technique that reduces data size in digital communication.