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In this paper, we propose an adaptive jointly parameter quantization scheme for sinusoidal matching pursuit (MP) audio coding, where the sinusoidal parameters (amplitude, frequency, phase) are quantized jointly based on the real time statistical knowledge of parameters. The optimal quantizers which minimize the perceptual distortion under a given entropy constraint, are derived analytically by high-rate theory. In comparison tests, the significant improvements achieved with the proposed scheme are shown. © 2010 IEEE.
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