mach.experimental.beamform

mach.experimental.beamform(

channel_data: Num[Array, 'n_transmits n_rx n_samples n_frames'],

rx_coords_m: Real[Array, 'n_rx xyz=3'],

scan_coords_m: Real[Array, 'n_points xyz=3'],

tx_wave_arrivals_s: Real[Array, 'n_transmits n_points'],

out: Num[Array, 'n_points n_frames'] | None = None,

*,

rx_start_s: Real[Array, 'n_transmits'],

sampling_freq_hz: float,

f_number: float,

sound_speed_m_s: float,

modulation_freq_hz: float | None = None,

tukey_alpha: float = 0.5,

) → Num[Array, 'n_points n_frames']

Wrapper around kernel.beamform that includes coherent compounding.

The implementation takes some shortcuts for quick prototyping.

Parameters:

• channel_data – like kernel.beamform channel_data, but with an extra first dimension for transmits

• tx_wave_arrivals_s – like kernel.beamform tx_wave_arrivals_s, but with an extra first dimension for transmits

See kernel.beamform for other argument descriptions.

Returns:

beamformed+compounded data with shape (n_points, n_frames)