Echo-canceled time-frequency weighting reduces noise and echo interference during target voice azimuth estimation.
Vertical PVDF hydrophone array applies two-dimensional Chebyshev weighting to electrical signals for precise acoustic detection.
A direction of arrival estimation system uses matched filtering and subspace processing to isolate direct-path audio peaks.
A spectral analysis method derives weights to minimize covariance matrix constraints for super-resolution sonar signal processing.
Spatial spectrum estimation determines azimuth using highest wakeup word scores, reducing noise interference in far-field speech recognition.
Segmenting the recognition network into specialized layers trained on specific direction intervals improves accuracy in low SNR far-field environments.
Acoustic metamaterials in a multi-channel sensor separate wind noise from incoming waves for accurate direction determination.
A three-dimensional particle filter decomposes tracking into two-dimensional plane operations for acoustic object localization.
A sound direction estimation device calculates search intervals and class counts to locate acoustic sources efficiently.
A sound signal processing device classifies directional characteristics to generate null beam patterns.
Directional signal separation isolates direct sounds from reflections, allowing dynamic model selection that maintains accuracy in reverberant environments.
A recursive steering vector estimation method using an online complex Gaussian mixture model updates parameters in each time frame.
A neuromorphic signal processing device uses spiking neuron circuits to localize sound sources.
Multi-channel microphone array segments audio signals by direction of arrival to separate target speech from continuous noise sources.
Accumulate narrow-band signal statistics in the eigenvalue domain to reconstruct a wideband covariance matrix for direction of arrival estimation.
Segmenting sound sources by class before localization resolves the trade-off between measurement precision and processing complexity in mixed environments.