Adaptive Decorrelation Filter Control for Spatial Audio Ambiance

The patent applies the Dynamics principle by transitioning from static, time-invariant decorrelation filters to dynamic, time-varying filters that adapt their characteristics based on the current auditory scene. The filter parameters are continuously adjusted according to measured properties of the audio signal, enabling the system to respond to temporal variations in the auditory environment while maintaining manageable complexity through structured adaptation mechanisms.

The patent implements Parameter changes by modifying key parameters of the decorrelation filter (such as filter order, coefficients, or structure) based on measured properties of the input audio signal. These parameters are dynamically adjusted to match the characteristics of the auditory scene, allowing the filter to optimize its performance for different types of audio content without requiring complete redesign of the filter architecture.

The patent applies the Feedback principle by measuring properties of the decoded audio signal (such as correlation measures, spectral characteristics, or temporal features) and using these measurements to adjust the decorrelation filter length and parameters. This closed-loop approach ensures that the filter adaptation is guided by actual signal characteristics, improving perceived quality while keeping the control mechanism systematic and manageable through defined feedback paths.

The patent implements Preliminary action by pre-defining a set of possible filter lengths and configurations that can be selected based on measured signal properties. Rather than allowing continuous arbitrary adjustment, the system prepares a discrete set of optimized filter options in advance, which are then selected based on real-time measurements. This approach improves quality by ensuring each configuration is pre-optimized while reducing complexity by limiting the adaptation space to a finite set of choices.