aspcol.soundfieldestimation

Functions

apply_measurement(shd_coeffs, pos, ...[, ...])	Applies the measurement operator to a sequence of spherical harmonic coefficients
apply_measurement_conj(vec, pos, exp_center, ...)	Applies the conjugate measurement operator to a complex vector
apply_measurement_conj_omni(vec, pos, ...)	Applies the conjugate measurement operator to a complex vector
apply_measurement_omni(shd_coeffs, pos, ...)	Applies the measurement operator to a sequence of spherical harmonic coefficients
calculate_psi(pos, dir_coeffs, k, Phi, ...)
est_ki(p, seq, pos, pos_eval, samplerate, c, ...)	Estimates the RIR in the frequency domain using kernel interpolation Assumes seq is a perfect periodic sequence
est_ki_diffuse(p, seq, pos, pos_eval, ...)	DEPRECATED: Use est_ki instead.
est_ki_diffuse_freq(p_freq, pos, pos_eval, ...)	DEPRECATED: Use est_ki_freq instead.
est_ki_freq(p_freq, pos, pos_eval, wave_num, ...)	Estimates the RIR in the frequency domain using kernel interpolation
est_ki_freq_rff(p_freq, pos, pos_eval, k, ...)	Estimates the RIR in the frequency domain using random Fourier features
est_ki_rff(p, seq, pos, pos_eval, ...[, ...])	Estimates the RIR in the frequency domain using random Fourier features Assumes seq is a perfect periodic sequence
est_spatial_spectrum_dynamic(p, pos, ...[, ...])	Estimates the RIR at evaluation positions using data from a moving microphone
estimate_from_regressor(regressor, pos, ...)	Takes the regressor from inf_dimensional_shd_dynamic, and gives back a sound field estimate.
inf_dim_shd_analysis(p_freq, pos, pos_eval, ...)	Estimates the sound field using directional microphones
inf_dimensional_shd(p, pos, exp_center, ...)	Estimates the spherical harmonic coefficients with Bayesian inference, allows for arbitrary directivity
inf_dimensional_shd_dynamic(p, pos, ...[, ...])	Estimates the RIR at evaluation positions using data from a moving microphone using Bayesian inference of an infinite sequence of spherical harmonics
inf_dimensional_shd_omni(p, pos, exp_center, ...)	Estimates the spherical harmonic coefficients with Bayesian inference
inf_dimensional_shd_omni_prior(p, pos, ...)	Estimates spherical harmonic coefficients with Bayesian inference of an infinite sequence of spherical harmonics
krr_moving_mic(p, pos, pos_eval, sequence, ...)	Estimates the RIR at evaluation positions using data from a moving microphone using Bayesian inference of an infinite sequence of spherical harmonics
krr_moving_mic_rff(p, pos, pos_eval, ...[, ...])	Sound field estimation with moving microphone using KRR with random Fourier features
krr_stationary_mics(ir_mic, pos_mic, ...[, ...])	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_direction_regularized(...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_direction_regularized_approx(...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_direction_regularized_changedip(...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_rdft(ir_mic, pos_mic, ...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_regularized(ir_mic, ...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_regularized_changedip(...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_regularized_rdft(ir_mic, ...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_regularized_simplified(...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
krr_stationary_mics_regularized_with_l2_norm(...)	Estimates the impulse responses at the evaluation points using kernel ridge regression.
measurement_conj_omni(pos, exp_center, ...)	Returns the adjoint measurement operator Xi^H
measurement_omni(pos, exp_center, max_order, ...)
nearest_neighbour_freq(p_freq, pos, pos_eval)	Estimates the sound field at the evaluation points by simply selecting the value associated with the nearest microphone position.
posterior_covariance_omni(pos, exp_center, ...)	Returns the posterior covariance of the spherical harmonic coefficients Assumes Gaussian priors for the spherical harmonic coefficients and Gaussian noise in the measurement equation
posterior_mean_omni(p, pos, exp_center, ...)	Computes the posterior mean of the spherical harmonic coefficients, under a Gaussian assumption
pseq_nearest_neighbour(p, seq, pos, pos_eval)	Estimates the sound field at the evaluation points by simply selecting the value associated with the nearest microphone position.
reconstruct(pos_eval, pos_mic, wave_num, ...)	Reconstruct the sound field function from estimated kernel ridge regression parameters.
reconstruct_from_krr_params(krr_params, ...)	Takes the regressor from inf_dimensional_shd_dynamic, and gives back a sound field estimate.
reconstruct_spatial_spectrum(params, ...)
regularize_matrix_frequency_dependent(mat, ...)