Abstract
In this paper, the improvement of the cascaded prediction method was presented. Three types of main predictor block with different levels of complexity were compared, including two complex prediction methods with backward adaptation, i.e., extension Active Level Classification Model (ALCM+) and extended Ordinary Least Square (OLS+). Our own approach to implementation of the effective context-dependent constant component removal block is also presented. Additionally, the improved adaptive arithmetic coder with short, medium and long-term adaptation was presented, and the experiment was carried out comparing the results with other known lossless audio coders against which our method obtained the best efficiency.
Highlights
The compression of audio and video signals is getting increasing attention as the transmission bandwidth is getting wider, storage media is getting cheaper and the requirement for better quality is growing
We proposed to develop Formula (3) by introducing a scaling factor, which is located on the diagonal of the matrix C = diagonal ([0.9951 0.9952 . . . 0.995r ]), to the formula for adaptation of prediction coefficients by ES-Normalised LMS (NLMS) method (an idea taken from the exponentially weighted step-size (NLMS) [26]), and the value of 0.995 was selected experimentally: wNLMS (n + 1) = wNLMS (n) + μ(n) · e(n) · C · x(n)
H(S) because it is difficult to determine the order of the Markov model, which will take into account all the interdependencies between the individual data
Summary
The compression of audio and video signals is getting increasing attention as the transmission bandwidth is getting wider, storage media is getting cheaper and the requirement for better quality is growing. This has been proven by the dynamic work of the MPEG Group, operating from 1988 to today, and its impressive portfolio [1]. Lossless mode is often required at the stage of music processing in a studio, advertising materials and in the production of radio and television programs, films, (post-production [3]) etc In such cases, no lossy coding is used, which, at each iteration of sound editing, may cumulate additional distortions.
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