Microphone Array Time Delay Estimation and Localization
Least squares method for time delay estimation, with steepest descent algorithm designed for precision localization.
Explore MATLAB source code curated for "时延估计" with clean implementations, documentation, and examples.
Least squares method for time delay estimation, with steepest descent algorithm designed for precision localization.
Implement time delay estimation through subspace decomposition method, which offers robust noise resistance performance and superior signal processing capabilities
Implementation of time delay estimation using phase spectrum method with detailed algorithmic analysis, including discussion of potential graphical discrepancies in visualization outputs
Implementation of cross-power spectrum based time delay estimation algorithm with detailed simulation results visualization through comprehensive plotting functions
MATLAB implementation of an adaptive eigenvalue-based time delay estimation algorithm with comprehensive code examples and technical explanations
In sound source localization, a technique for improving time delay estimation precision involves cubing the original signal before performing correlation, which yields sharper correlation peaks and enhances localization accuracy.
Time delay estimation and beamforming methods are particularly useful for sound source tracking applications, with implementation approaches involving cross-correlation algorithms and digital signal processing techniques.
Implementing time delay estimation using MATLAB with Gaussian white noise signals at specified signal-to-noise ratios, including algorithm details and key function explanations.
Complete higher-order spectrum toolbox with documentation covering applications in time-delay estimation, signal detection, and multiple other domains, including implementation examples for bispectral analysis and cumulant-based signal processing algorithms
The generalized cross-correlation function provides an efficient computational method for time delay estimation, widely applicable in various signal processing scenarios with robust performance.