Spatial Audio Encoding Spherical Grid Quantization

The patent applies local quality by using different quantization step sizes for different regions of the spherical coordinate system. Specifically, smaller quantization steps are used near the poles (elevation angles close to 0° and 180°) where directional changes are more perceptible, while larger steps are used at the equator. This resolves the contradiction by maintaining encoding simplicity through a structured approach while improving accuracy where it matters most perceptually.

The patent changes the quantization parameter (step size) based on the elevation angle. The quantization step for azimuth is made dependent on the elevation angle, with the step size decreasing as the elevation approaches the poles. This dynamic parameter adjustment resolves the contradiction by adapting the encoding precision to the local perceptual requirements at different regions of the sphere.

The patent dynamically changes the quantization parameter (step size) based on the elevation angle to achieve higher density near poles while controlling information volume. By making the azimuth quantization step dependent on elevation (smaller steps near poles, larger at equator), the system achieves perceptually uniform resolution without uniformly increasing the number of quantization states everywhere, thus managing the information volume efficiently.

The patent applies partial action by increasing quantization density only in the regions where it is most needed (near the poles) rather than uniformly across the entire sphere. This selective approach improves spatial reproduction quality in critical regions while avoiding the information overhead that would result from uniform high-density quantization everywhere.

The patent implements local quality by applying different quantization characteristics to different regions of the spherical coordinate system. The encoding process uses elevation-dependent quantization steps, where the azimuth quantization step is determined by the current elevation angle. This structured regional differentiation improves perceptual accuracy without requiring completely complex adaptive algorithms, as the variation follows a systematic pattern based on elevation.

The patent manages encoding complexity by using a systematic parameter change approach where the quantization step size is determined by a formula based on elevation angle rather than requiring complex adaptive algorithms. The relationship between elevation and quantization step follows a defined pattern, making the implementation more manageable while still achieving perceptual optimization.