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hoa_params.py
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hoa_params.py
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from __future__ import print_function
from __future__ import division
from numpy import *
import numpy as np
from scipy.special import hankel2
import config as c
from scipy.io import savemat
# REF: 3D Sound Field Recording with Higher Order Ambisonics -
# Objective Measurements and Validation of Spherical Microphone
def spheric_harmonics_function(a, b, azimuth, elevation):
"""
spheric harmonics function.
:param a: int, function order, a <= 4
:param b: int, function number
:param azimuth: double or numpy array
:param elevation: double or numpy array 是仰角，不是倾斜角
:return: double or numpy array
"""
if a == 0 and b == +0: return sqrt(1 / 4 / pi) * ones_like(azimuth)
if a == 1 and b == +0: return sqrt(3 / 4 / pi) * sin(elevation)
if a == 1 and b == -1: return sqrt(3 / 8 / pi) * cos(elevation) * sin(azimuth) * sqrt(2)
if a == 1 and b == +1: return sqrt(3 / 8 / pi) * cos(elevation) * cos(azimuth) * sqrt(2)
if a == 2 and b == +0: return sqrt(5 / 16 / pi) * (3 * sin(elevation) ** 2 - 1)
if a == 2 and b == -1: return sqrt(15 / 8 / pi) * cos(elevation) * sin(elevation) * sin(azimuth) * sqrt(2)
if a == 2 and b == +1: return sqrt(15 / 8 / pi) * cos(elevation) * sin(elevation) * cos(azimuth) * sqrt(2)
if a == 2 and b == -2: return sqrt(15 / 32 / pi) * cos(elevation) ** 2 * sin(2 * azimuth) * sqrt(2)
if a == 2 and b == +2: return sqrt(15 / 32 / pi) * cos(elevation) ** 2 * cos(2 * azimuth) * sqrt(2)
if a == 3 and b == +0: return sqrt(7 / 16 / pi) * (5 * (sin(elevation)) ** 3 - 3 * sin(elevation))
if a == 3 and b == -1: return sqrt(21 / 64 / pi) * cos(elevation) * (5 * (sin(elevation)) ** 2 - 1) * sin(
azimuth) * sqrt(2)
if a == 3 and b == +1: return sqrt(21 / 64 / pi) * cos(elevation) * (5 * (sin(elevation)) ** 2 - 1) * cos(
azimuth) * sqrt(2)
if a == 3 and b == -2: return sqrt(105 / 32 / pi) * (cos(elevation)) ** 2 * sin(elevation) * sin(
2 * azimuth) * sqrt(2)
if a == 3 and b == +2: return sqrt(105 / 32 / pi) * (cos(elevation)) ** 2 * sin(elevation) * cos(
2 * azimuth) * sqrt(2)
if a == 3 and b == -3: return sqrt(35 / 64 / pi) * (cos(elevation)) ** 3 * sin(3 * azimuth) * sqrt(2)
if a == 3 and b == +3: return sqrt(35 / 64 / pi) * (cos(elevation)) ** 3 * cos(3 * azimuth) * sqrt(2)
if a == 4 and b == +0: return sqrt(9 / 4 / pi) * (1 / 8) * (
35 * (sin(elevation)) ** 4 - 30 * (sin(elevation)) ** 2 + 3)
if a == 4 and b == -1: return sqrt(9 / 160 / pi) * cos(elevation) * (
35 * sin(elevation) ** 3 - 15 * sin(elevation)) * sin(azimuth)
if a == 4 and b == +1: return sqrt(9 / 160 / pi) * cos(elevation) * (
35 * sin(elevation) ** 3 - 15 * sin(elevation)) * cos(azimuth)
if a == 4 and b == -2: return sqrt(45 / 64 / pi) * cos(elevation) ** 2 * (7 * (sin(elevation)) ** 2 - 1) * sin(
2 * azimuth)
if a == 4 and b == +2: return sqrt(45 / 64 / pi) * cos(elevation) ** 2 * (7 * (sin(elevation)) ** 2 - 1) * cos(
2 * azimuth)
if a == 4 and b == -3: return sqrt(315 / 64 / pi) * cos(elevation) ** 3 * sin(elevation) * sin(3 * azimuth) * sqrt(
2)
if a == 4 and b == +3: return sqrt(315 / 64 / pi) * cos(elevation) ** 3 * sin(elevation) * cos(3 * azimuth) * sqrt(
2)
if a == 4 and b == -4: return (3 / 16) * sqrt(35 / 2 / pi) * (cos(elevation)) ** 4 * sin(4 * azimuth) * sqrt(2)
if a == 4 and b == +4: return (3 / 16) * sqrt(35 / 2 / pi) * (cos(elevation)) ** 4 * cos(4 * azimuth) * sqrt(2)
raise ValueError("a=%s, b=%s. a, b should be int and abs(b) < a." % (a, b))
def spheric_harmonics_list(azimuth, elevation):
sh_list = np.zeros((c.hoa_num, azimuth.size))
hoa_index = 0
for a in range(c.hoa_order+1):
for b in range(-a, a + 1):
sh_list[hoa_index, :] = spheric_harmonics_function(a, b, azimuth, elevation)
hoa_index += 1
return sh_list
def get_y():
# reference paper, Y was defined near equation (23)
# check pass.
y = zeros((c.n_chan, c.hoa_num), dtype='complex')
index = 0
for a in range(c.hoa_order + 1):
for b in range(-a, a + 1):
y[:, index] = spheric_harmonics_function(a, b, c.mic_position[:, 1], pi / 2 - c.mic_position[:, 0])
index += 1
return y
def get_bn(freq, order):
kr = 2 * np.pi * freq * c.array_radius / c.speed_of_sound + (freq == 0) * np.finfo(float).eps
_t = sqrt(np.pi / (2 * kr)) * (order / kr * hankel2(order + 1 / 2, kr) - hankel2(order + 3 / 2, kr))
bn = 1j ** (order - 1) / (kr ** 2 * _t)
return bn
# 计算论文（30）式的函数
def get_B(freq):
B = zeros(c.hoa_num, dtype='complex')
index = 0
for a in range(c.hoa_order + 1):
for b in range(-a, a + 1):
B[index] = get_bn(freq, a)
index += 1
return np.diag(B)
def get_y2(az, el):
"""
For now, we use az and el as scalars ----- 2019.5.17
:param az: azimuth. double or ndarray
:param el: elevation. double or ndarray
:return: sphere harmonic functions for the given (az, el) (c.hoa_num, n_az)
"""
n_az = az.size
# assert n_az == n_el # i.e. az and el must come in pairs
y = zeros((c.hoa_num, n_az), dtype='float64')
index = 0
for a in range(c.hoa_order + 1):
for b in range(-a, a + 1):
y[index, :] = spheric_harmonics_function(a, b, az, el)
index += 1
return y
def get_eq(freq, order, param=0.18):
# check pass.
bn = get_bn(freq, order)
out = np.conjugate(bn) / ((abs(bn)) ** 2 + param ** 2)
return out
def get_eq_matrix(freq):
# check pass.
eq_matrix = np.zeros((c.hoa_order + 1) ** 2, dtype=complex)
for i in range(c.hoa_order + 1):
for j in range(2 * i + 1):
eq_matrix[i ** 2 + j] = get_eq(freq, i)
return np.diag(eq_matrix)
def get_encoder():
y = get_y()
e_matrix = linalg.pinv(y)
freq_array = linspace(0, c.fs / 2, c.fft_point // 2 + 1)
encoder = zeros((freq_array.size, c.hoa_num, c.n_chan), dtype=complex)
# f = open('cond.txt', 'w')
for freq_index, freq in enumerate(freq_array):
eq_matrix = get_eq_matrix(freq)
# diag_w = np.linalg.inv(eq_matrix)
# TT = y.dot(diag_w)
# f.write('freq:'+str(freq_index)+' '+str(np.linalg.cond(TT.conj().T.dot(TT)))+'\n')
encoder[freq_index, :, :] = eq_matrix.dot(e_matrix)
return encoder
def get_valid_freq_array_and_index():
freq_array = np.linspace(0, c.fs // 2, c.fft_point // 2 + 1)
valid_freq_index = (freq_array > c.min_freq) * (freq_array < c.max_freq)
return valid_freq_index, freq_array[valid_freq_index]
def get_decoder():
spheric_harmonics = np.zeros((c.hoa_num, c.scan_num, c.el_num))
for az_index, az in enumerate(c.az_array):
for el_index, el in enumerate(c.el_array):
spheric_harmonics[:, az_index, el_index] = spheric_harmonics_list(az, np.pi / 2 - el).ravel()
return spheric_harmonics
def get_weight_vector():
_, valid_freq_array = get_valid_freq_array_and_index()
kr_array = 2 * np.pi * valid_freq_array / c.speed_of_sound * c.array_radius
n = 3 # warning: magic number
weight_vector = 1 / kr_array ** 2 / (np.sqrt(np.pi / (2 * kr_array)) * (
n / kr_array * hankel2(n + 1 / 2, kr_array) - hankel2(n + 3 / 2, kr_array)))
return np.abs(weight_vector)
def get_p_vector(freq, azi, el):
"""
:param freq: scalar in Hz
:param azi: double or ndarray.
:param el: double or ndarray
:return: p_vector for each given pair (az, el) in azi and el. Refer to paper for more info.
"""
n_az, n_el = azi.size, el.size
# assert n_az == n_el # i.e. az and el must come in pairs
p_vector = np.zeros((c.hoa_num, n_az), dtype="complex")
Y = get_y2(azi, el)
index = 0
for i in range(c.hoa_order+1):
b_n = get_bn(freq, i)
for j in range(-i, i+1):
p_vector[index] = b_n * Y[index, :]
index += 1
return p_vector
if __name__ == '__main__':
#for i in range(5):
# for j in range(-i, i+1):
# print(spheric_harmonics_function(i, j, 2*np.pi/3, 0))
res = get_y()
savemat('temp.mat', {'data': res})