Constrained-storage vector quantization in high fidelity audio transform coding

The concept and design methods for efficient use of vector quantization (VQ) in high-fidelity audio coding are presented. It is demonstrated that with constrained-storage VQ (CSVQ), tree-structured codebooks can be constructed for very high rates without incurring an exponential growth in storage complexity and without impairing the rate-distortion performance. Nonlinear interpolative VQ allows efficient coding of the power envelope needed for transform-coefficient normalization and adaptive distortion assignment. These techniques lead to a substantial reduction in the overall bit rate and codebook storage for the audio coder