Example 8: Full Matrix Capture (FMC)¶

Each transmit element fires individually while all receive elements record — the complete (E_tx, E_rx, Nt) dataset behind synthetic aperture (SA) and total focusing method (TFM) imaging.

What you will learn¶

synthetic_aperture_rf() — the Field II calc_scat_all equivalent
FMC dataset shape (E_tx, E_rx, Nt) and its decimation option
Visualising per-TX RF panels and the peak-amplitude TX×RX matrix

Output¶

FMC dataset overview

Run it¶

uv run examples/example08_synthetic_aperture.py

Key code¶

from esdiva.reception import Reception
from esdiva.transducers import LinearArrayTransducer

tx = LinearArrayTransducer(n_elements=16, element_width_mm=0.3,
                           element_height_mm=5.0, kerf_mm=0.05,
                           no_sub_x=1, no_sub_y=4, frequency_Hz=5e6)
tx.excitation = excitation
rx = tx                                   # same aperture for TX and RX

sim = Reception(tx, rx, c=1540, fs=100e6)
rf_fmc, coords = sim.synthetic_aperture_rf(scatterer_pos, scatterer_amp,
                                           decimation=1)
# rf_fmc.shape = (E_tx, E_rx, Nt)

View full script on GitHub