A perceptual model for sinusoidal audio coding based on spectral integration
EURASIP Journal on Applied Signal Processing
Multiple Description Trellis-Coded Quantization of Sinusoidal Parameters
IEEE Transactions on Signal Processing - Part II
High-Resolution Spherical Quantization of Sinusoidal Parameters
IEEE Transactions on Audio, Speech, and Language Processing
On perceptual distortion minimization and nonlinear least-squares frequency estimation
IEEE Transactions on Audio, Speech, and Language Processing
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Recently, multiple description spherical trellis-coded quantization (MDSTCQ) for quantization of sinusoidal parameters was proposed, which suffered from a suboptimal implementation. Therefore, we propose the multiple description spherical quantization with repetition coding of the amplitudes (MDSQRA) scheme. Here, we apply repetition coding to the amplitudes, whereas the phases and the frequencies are coded using multiple description quantization. We measure the relation between the expected perceptual distortions for the two quantization schemes, which shows that MDSQRA outperforms MDSTCQ for most packet-loss probabilities. Also, we measure the perceptual distortion obtained when applying MDSQRA on synthetic data and show that it matches the expected perceptual distortion. Furthermore, due to MDSTCQs suboptimal implementation, MDSQRA outperforms MDSTCQ in terms of measured perceptual distortion even at packet-loss probabilities where the expected perceptual distortion was lowest for MDSTCQ.