Abstract-In this letter, we propose joint quantization of the parameters of a set of sinusoids based on the theory of trellis-coded quantization. A particular advantage of this approach is that it allows for joint quantization of a variable number of sinusoids, which is particularly relevant in variable rate parametric audio coding. Under high-resolution assumptions and based on a perceptually relevant distortion measure, we derive analytical expressions for the optimal design subject to an entropy constraint. Numerical experiments show a significant performance gain compared to optimal spherical quantization at the cost of a slight increase in computational complexity.
A new scheme for sinusoidal audio coding named multiple description spherical trellis-coded quantization is proposed and analytic expressions for the point densities and expected distortion of the quantizers are derived based on a high-resolution assumption. The proposed quantizers are of variable dimensions meaning that any number of sinusoids can be quantized jointly for each audio segment whereby a lower distortion is achieved compared to previously published scalar spherical quantizers. The quantizers are designed to minimize a perceptual distortion measure subject to an entropy constraint for a given packet-loss probability. In experiments, the performance of the quantizers is assessed and compared to the corresponding single description spherical quantizer and associated bounds under various conditions and is found to increase robustness towards packet-loss.
A new scheme for sinusoidal audio coding named multiple description spherical trellis-coded quantization is proposed and analytic expressions for the point densities and expected distortion of the quantizers are derived based on a highresolution assumption. The proposed quantizers are of variable dimension, i.e., sinusoids can be quantized jointly for each audio segment whereby a lower distortion is achieved. The quantizers are designed to minimize a perceptual distortion measure subject to an entropy constraint for a given packet-loss probability. In experiments, the performance of the quantizers is compared to the corresponding single description spherical quantizer and associated bounds are found to increase robustness towards packet-losses.
This paper presents a coding scheme suitable for transmission of multimedia data over mixed internet and wireless channels. To resist packet losses and provide good compression performance, an entropyconstrained multiple description trellis-coded quantizer is combined with a variable-length code. Furthermore, to be robust to transmission errors, an iterative decoding scheme is developed, which exploits the redundancy between the generated descriptions. Experimental results show the performance of this scheme in terms of efficiency and robustness.
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