Skip to content

Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling.

License

Notifications You must be signed in to change notification settings

SOUNDS-RESEARCH/LC-SRP-python

 
 

Repository files navigation

LC-SRP-python

Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling.

calc_FD_GCC.py computes frequency domain GCC. calc_SRP.py computes SRP approximation. calc_SRPconv.py computes conventional SRP. calc_STFT.py computes the STFT. calc_sampleParam.py computes sampling period and number of samples within TDOA interval. coord_loc_1_8.mat location of the sources. coord_mic_array.mat coordinates of the microphone array. gen_searchGrid.py generates search grid. main.py defines the configuration, loads microphone signals, performs conventional and low-complexity SRP and computes approximation and localization errors. This is done for eight different source locations.

About

Low-Complexity Steered Response Power Mapping based on Nyquist-Shannon Sampling.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%