Lossless Audio Coding Using a Cascaded Rls-lms Predictor

This paper introduces a cascade d RLS-LMS predictor for predictive lossless audio coding applications. In this proposed predictor, a LMS predictor with large order is employed in order to capture the ample tonal and harmonic components of the audio signal for optimal prediction gain performance. Meanwhile, to solve the slow convergence problem of the LMS algorithm with colored inputs, a low-order RLS predict or is cascaded prior to the LMS predictor to remove the spectral tilt of the audio signal. This cascaded RLS-LMS structure effectively mitigates the slow convergence problem of the LMS algorithm and provides superior prediction gain performance for audio signals compared with the conventional LMS predictor, resulting in a better overall compression performance.