greedy

greedy は各振動子の位相を離散的な候補から 1 つずつ貪欲に選択していく組合せ最適化. アルゴリズムは Suzuki らの論文 (Suzuki et al., 2021) に基づく.

API

Rust

greedy(&geometry, &foci, wavelength, &option, &mut dst)?;

Python

greedy(geometry, foci, wavelength, option, dst)

C#

Holo.Greedy(geometry, foci, wavelength, option, dst);

引数	型	説明
geometry	&Geometry	デバイス配置
foci	&[AmplitudeTarget]	焦点列 (位置と目標振幅)
wavelength	Length	波長
option	&GreedyOption	追加オプション (下記参照)
dst	&mut [[Emission; _]]	出力バッファ

共通要素 (AmplitudeTarget / TransducerMask など) は Holo 概要 を参照.

GreedyOption

Rust

GreedyOption {
    phase_quantization_levels,
    constraint,
    directivity,
    objective_func,
    mask,
}

Python

GreedyOption(
    phase_quantization_levels,
    constraint,
    directivity,
    mask,
)

C#

new GreedyOption(
    phaseQuantizationLevels,
    constraint,
    directivity,
    mask
)

フィールド	型	デフォルト
phase_quantization_levels	NonZeroU8	16
constraint	EmissionConstraint	Uniform(MAX)
directivity	Directivity	Sphere
objective_func	fn(Complex<f32>, Amplitude) -> f32	abs_objective_func
mask	TransducerMask	AllEnabled

• phase_quantization_levels — 位相候補の分割数. 大きいほど位相分解能が上がる.
• objective_func — 各候補を評価する目的関数. デフォルトの abs_objective_func は, 合成音圧の 大きさと目標振幅の差の絶対値を返す.
  • Rust版のみ設定可能. 他の言語ではデフォルトの目的関数が使われる
• constraint / directivity / mask の意味は Holo 概要 を参照.

Example

Rust

use std::num::NonZeroU8;

use autd3_rs::geometry::{Autd3, Geometry, offset};
use autd3_rs::units::{m, mm, s};
use autd3_rs::value::Intensity;
use autd3_rs_pattern::wavelength;
use autd3_rs_pattern_holo::{
    AmplitudeTarget, Directivity, EmissionConstraint, GreedyOption, Pa, TransducerMask,
    abs_objective_func, greedy,
};

let geometry = Geometry::new(vec![Autd3::default()]);

let mut dst = geometry.pattern_buffer();

greedy(
    &geometry,
    &[
        AmplitudeTarget {
            point: geometry.center() + offset(-30.0 * mm, 0.0 * mm, 150.0 * mm),
            amplitude: 2.5e3 * Pa,
        },
        AmplitudeTarget {
            point: geometry.center() + offset(30.0 * mm, 0.0 * mm, 150.0 * mm),
            amplitude: 2.5e3 * Pa,
        },
    ],
    wavelength(340.0 * m / s),
    &GreedyOption {
        phase_quantization_levels: NonZeroU8::new(16).unwrap(),
        constraint: EmissionConstraint::Uniform(Intensity::MAX),
        directivity: Directivity::Sphere,
        objective_func: abs_objective_func,
        mask: TransducerMask::AllEnabled,
    },
    &mut dst,
)?;

Python

import numpy as np
from autd3.geometry import Autd3, Geometry
from autd3.units import m, s
from autd3_pattern import wavelength
from autd3_pattern_holo import (
    AmplitudeTarget,
    Directivity,
    EmissionConstraint,
    GreedyOption,
    Pa,
    TransducerMask,
    greedy,
)

geometry = Geometry([Autd3([0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0])])

dst = geometry.pattern_buffer()

greedy(
    geometry,
    [
        AmplitudeTarget(
            point=geometry.center() + np.array([-30.0, 0.0, 150.0]),
            amplitude=2.5e3 * Pa,
        ),
        AmplitudeTarget(
            point=geometry.center() + np.array([30.0, 0.0, 150.0]),
            amplitude=2.5e3 * Pa,
        ),
    ],
    wavelength(340 * m / s),
    GreedyOption(
        phase_quantization_levels=16,
        constraint=EmissionConstraint.Uniform(0xFF),
        directivity=Directivity.Sphere,
        mask=TransducerMask.AllEnabled,
    ),
    dst,
)

C#

using System.Numerics;
using AUTD3;
using AUTD3.Holo;
using static AUTD3.Units;
using static AUTD3.Holo.HoloUnits;

var geometry = new Geometry(new[] { new Autd3(Vector3.Zero) });

var dst = geometry.PatternBuffer();

Holo.Greedy(
    geometry,
    new[]
    {
        new AmplitudeTarget(geometry.Center + new Vector3(-30.0f, 0.0f, 150.0f), 2.5e3f * Pa),
        new AmplitudeTarget(geometry.Center + new Vector3(30.0f, 0.0f, 150.0f), 2.5e3f * Pa),
    },
    Pattern.Wavelength(340.0f * m / s),
    new GreedyOption(
        phaseQuantizationLevels: 16,
        constraint: EmissionConstraint.Uniform(Intensity.Max),
        directivity: Directivity.Sphere,
        mask: TransducerMask.AllEnabled
    ),
    dst
);