Higher Order Ambisonic (HOA) component indexing, coefficients and performance, by order.
Create a new instance.
order 
Ambisonic order. Def: 
Return higher order ambisonic order.
Return an array of Associated Legendre degrees (ℓ) and indices (m).
Return an array of Associated Legendre degrees (ℓ).
Return an array of Associated Legendre indices (m).
Return Higher Order Ambisonic (HOA) indices.
ordering 
Component ordering scheme:
 
subset 

Return number of ambisonic components.
Return N3D normalized angular encoding coefficients.
theta 
Azimuth, in radians. 
phi 
Elevation, in radians. 
Return component normalisation coefficients.
scheme 
Component normalisation schemes:

Return component reflection coefficients.
mirror 

Return the effective decoding radius, in meters.
freq 
Frequency, in Hz. 
speedOfSound 
Speed of sound, in meters per second. Def: 
Return the effective decoding frequency, in Hz.
radius 
Radius, in meters. Def: 
speedOfSound 
Speed of sound, in meters per second. Def: 
Return complex nearfield effect proximity radial filtering coefficients, collected by Associated Legendre degree (ℓ).
freq 
Frequency, in Hz. 
radius 
Radius, in meters. Def: 
speedOfSound 
Speed of sound, in meters per second. Def: 
These complex weights represent the magnitude and phase change of each degree when encoding an otherwise farfield source at a distance of radius.
See further discussion on The NearField Effect (NFE).
Return complex nearfield effect distance radial filtering coefficients, collected by Associated Legendre degree (ℓ).
freq 
Frequency, in Hz. 
radius 
Radius, in meters. Def: 
speedOfSound 
Speed of sound, in meters per second. Def: 
These complex weights are the reciprocal of proxWeights.
See further discussion on The NearField Effect (NFE).
Return complex nearfield effect control radial filtering coefficients, collected by Associated Legendre degree (ℓ).
freq 
Frequency, in Hz. 
encRadius 
Encoding radius, in meters. Def: 
decRadius 
Decoding radius, in meters. Def: 
speedOfSound 
Speed of sound, in meters per second. Def: 
These complex weights represent a ratio of the proxWeights of the encoding radius to the decoding radius, i.e. proxWeights(encRadius) / proxWeights(decRadius)
.
See further discussion on The NearField Effect (NFE).
Return real nearfield effect focalisation radial filtering coefficients, collected by Associated Legendre degree (ℓ).
freq 
Frequency, in Hz.  
radius 
Radius, in meters. Def:  
window 
Angular weighting window.
 
speedOfSound 
Speed of sound, in meters per second. Def: 
Three standard beam shapes are offered:
keyword  beam shape  localisation vector  virtual microphone 
\basic  strict soundfield  maximum velocity rV  Hypercardioid 
\energy  energy optimised  maximum energy rE  Supercardioid 
\controlled  controlled opposites  minimum diametric energy  Cardioid 
Return beamforming coefficients, collected by Associated Legendre degree (ℓ).
beamShape 
Keyword argument for beam shape. See above. 
dim 
The number of dimensions: 2D or 3D. 
Return matching weight for an ambisonic decoder.
beamShape 
Keyword argument for beam shape. See above.  
dim 
The number of dimensions: 2D or 3D.  
match 
Matching criteria:
 
numChans 
Number of loudspeakers. NOTE: Must be set when choosing match: \energy . 
Return the half angle of the maximum average energy spread for an ambisonic decoder.
beamShape 
Keyword argument for beam shape. See above. 
dim 
The number of dimensions: 2D or 3D. 
An IdentityDictionary of values:
\cos  rolloff to ~3dB, in radians 
\hvc  rolloff to ~6dB, in radians 
Return reduced energy for an ambisonic decoder.
beamShape 
Keyword argument for beam shape. See above. 
dim 
The number of dimensions: 2D or 3D. 
Return maximum average magnitude of the velocity localisation vector (rV) for an ambisonic decoder.
beamShape 
Keyword argument for beam shape. See above. 
dim 
The number of dimensions: 2D or 3D. 
Return maximum average magnitude of the energy localisation vector (rE) for an ambisonic decoder.
beamShape 
Keyword argument for beam shape. See above. 
dim 
The number of dimensions: 2D or 3D. 
TBD