AUDIO CODING BASED ON THE MODULATED LAPPED TRANSFORM (MLT) AND SET PARTITIONING IN HIERARCHICAL TREES
作者： Mohammed Raad , Alfred Mertins , Ian Burnett
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摘要: This paper presents an audio coder based on the combination of Modulated Lapped Transform (MLT) with Set Partitioning In Hierarchical Trees (SPIHT) algorithm. SPIHT allows scalable coding by transmitting more important information first in efficient manner. The results presented reveal that scheme produces a high compression ratio for little or no loss quality. A modification is introduced to which further improves performance algorithm when it being used uniform M-band transforms and masking. Further, MLTSPIHT shown achieve quality synthesized at 54 kbps through subjective listening tests.
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