Sound Source Localization Using Precomputed Lookup Table

The patent precomputes time delay values for all possible sound source orientations and stores them in a lookup table before actual localization operations. This preliminary action transforms the complex real-time calculation problem into a simple table lookup operation, dramatically reducing computational time while maintaining localization accuracy.

The patent creates a simplified computational model by copying essential localization parameters into a lookup table structure. Instead of performing complex algorithmic calculations, the system copies precomputed results into an accessible table format, enabling rapid retrieval without repeating computationally intensive operations.

The patent performs complex computational work in advance by precalculating time delays for all possible orientations and storing results in a lookup table. This shifts computational complexity from the real-time operation phase to the offline preparation phase, making the actual localization process computationally simple.

The patent replaces complex algorithmic computation with a simpler data retrieval mechanism. Instead of executing sophisticated localization algorithms in real-time, the system substitutes this with straightforward lookup table queries, reducing computational complexity while preserving accuracy.

The patent replaces expensive, complex deep learning models with a simple, lightweight lookup table structure. This substitution uses minimal computational resources and no training data, achieving comparable localization accuracy through a much simpler data structure that requires no maintenance or updates.

The patent substitutes complex deep learning computational mechanisms with a simple lookup table retrieval system. This replacement eliminates the need for neural network training, inference computations, and model management, achieving the same functional goal with dramatically reduced complexity.