Audio Signal Encoding Selective Noise Component Management

The patent applies local quality by differentiating noise encoding strategies across different frequency regions. Important spectral components receive dedicated bit allocation with precise encoding, while non-important regions use simplified noise encoding. This selective approach improves sound quality in critical regions without proportionally increasing overall bit rate consumption.

The audio frequency spectrum is segmented into multiple regions based on perceptual importance. The patent divides spectral components into important and non-important categories, applying different encoding precision levels to each segment. This segmentation allows efficient bit allocation that balances sound quality improvement with bit rate constraints.

The patent applies partial action by encoding only the most perceptually important spectral components with high precision, while using simplified encoding for less important regions. This selective precision approach achieves acceptable sound quality without the excessive complexity of encoding all spectral components at maximum precision.

Different encoding complexities are applied to different spectral regions based on their perceptual importance. Critical frequency regions receive sophisticated encoding treatment, while non-critical regions use simpler encoding methods, thereby reducing overall encoding complexity while maintaining sound quality in perceptually important areas.

The patent dynamically changes the encoding parameter (noise encoding application) based on spectral importance. In frequency regions with important spectral components, noise encoding is suppressed or reduced. In regions without significant spectral content, noise encoding is applied to improve perceived quality. This parameter adaptation optimizes bit allocation efficiency by directing bits to where they provide maximum perceptual benefit.

Noise encoding is applied partially rather than uniformly across all frequency regions. The patent selectively applies noise encoding only in regions where spectral components are absent or minimal, avoiding wasteful bit allocation in regions where spectral components already provide sufficient quality. This partial application improves bit allocation efficiency while maintaining sound quality where it matters most.