demoBformat

Example usage of SDM toolbox for analysis of B-format impulse responses.
Load the impulse response.
Read the data
Create SDM struct for analysis with a set of parameters
Calculate the SDM coefficients
Create a struct for visualization with a set of parameters
Draw analysis parameters and impulse responses
Draw time frequency visualization
Draw the spatio temporal visualization for each section plane

Example usage of SDM toolbox for analysis of B-format impulse responses.

The data is a measurement from a class room The documentation of the measurement is found at http://legacy.spa.aalto.fi/projects/poririrs/

% SDM toolbox : demoBformat
% Sakari Tervo & Jukka Patynen, Aalto University, 2016
% Sakari.Tervo@aalto.fi and Jukka.Patynen@aalto.fi

Load the impulse response.

% 4s long impulse response measured at 48 kHz

% Download an B-format room impulse response from spa.aalto.fi
ir_filename = 'sndfld.zip';
if ~exist([ir_filename],'file')
    disp(['Downloading an example IR ' ir_filename ' from the database.'])
    url_ir = ['http://legacy.spa.aalto.fi/projects/poririrs/wavs/sndfld.zip'];
    websave([ir_filename],url_ir);
    unzip(ir_filename)
end

Downloading an example IR sndfld.zip from the database.

Read the data

Read impulse response

[ir_bformat,fs] = audioread('s1_r1_sf.wav');

Create SDM struct for analysis with a set of parameters

Parameters required for the calculation Load default array and define some parameters with custom values fs = 48e3;

a = createSDMStruct('DefaultArray','Bformat','fs',fs,'winLen',15);

User-defined SDM Settings are used :
           fs: 48000
            c: 345
       winLen: 15
    parFrames: 8192
    showArray: 0
      micLocs: [NaN NaN]

Calculate the SDM coefficients

Solve the DOA of each time window assuming wide band reflections, white noise in the sensors and far-field (plane wave propagation model inside the array)

DOA{1} = SDMbf(ir_bformat, a);

% Here we are using the pressure in the b-format as the estimate for the
% pressure in the center of the array
P{1} = ir_bformat(:,1);

Started SDM processing
Ended SDM processing in 0.012492 seconds.

Create a struct for visualization with a set of parameters

Load default setup for very small room and change some of the variables

v = createVisualizationStruct('DefaultRoom','LargeRoom',...
    'name','Pori, Concert Hall','fs',fs,'t',[2 5 10 20 50 100 200 2000]);
% For visualization purposes, set the text interpreter to latex
set(0,'DefaultTextInterpreter','latex')

createVisualizationStruct : User-defined visualization settings are used :
              fs: 48000
           plane: 'lateral'
             DOI: 'forward'
       plotStyle: 'line'
            name: 'Pori, Concert Hall'
             res: 1
               t: [2 5 10 20 50 100 200 2000]
          colors: [8x3 double]
       dBSpacing: 6
      DOASpacing: 30
      dBDynamics: 45
       linewidth: [1 1 1 1 1 1 1 1]
        showGrid: 1
    smoothMethod: 'average'
       smoothRes: 3

Draw analysis parameters and impulse responses

parameterVisualization(P, v);

Started visualization of parameters.
Ended visualization of parameters in 0.15251 seconds.

Draw time frequency visualization

timeFrequencyVisualization(P, v)

Started time-frequency visualization.
Ended time-frequency visualization in 135.5062 seconds.

Draw the spatio temporal visualization for each section plane

v.plane = 'lateral';
spatioTemporalVisualization(P, DOA, v)
v.plane = 'transverse';
spatioTemporalVisualization(P, DOA, v)
v.plane = 'median';
spatioTemporalVisualization(P, DOA, v)

% <----- EOF demoBFormat

Started spatio-temporal visualization.
Ended spatio-temporal visualization in 0.41443 seconds.
Started spatio-temporal visualization.
Ended spatio-temporal visualization in 0.39618 seconds.
Started spatio-temporal visualization.
Ended spatio-temporal visualization in 0.39182 seconds.

Contents