yo mannen

get_audio.m

-function signal = get_audio()
+function signal = get_audio(N)
 
 global bass;
 
@@ -18,7 +18,11 @@ end
 p = bass.Audio();
 
 lastIndex = p.Audio.lastFrameIndex;
+if nargin < 1
     diffIndex = lastIndex - lastLastIndex;
+else
+    diffIndex = N;
+end
 tempLeft = cell2mat(p.Audio.left);
 tempLeft = tempLeft(max(end-diffIndex+1,1):end);
 

get_audio_loop.m

 
 
-figure;
+% figure;
 
 allAudioLeft = [];
 allAudioRight = [];
 lastLastIndex = 0;
 lastIndex = 0;
 count = 0;
-while count < 5
+while count < 60
     p = bass.Audio();
     if count == 0
         fs = p.Audio.sampleRate;
@@ -25,13 +25,13 @@ while count < 5
     
     lastLastIndex = lastIndex;
     count = count+1
-    
-    plot(tempLeft);
-    set(gca,'ylim',[-2^16/2 2^16/2])
-    drawnow
+%     plot(tempLeft);
+%     set(gca,'ylim',[-2^16/2 2^16/2])
+%     drawnow
     
 end
+allAudio = [allAudioLeft, allAudioRight];
 
 
-bass.Stop()
+% bass.Stop()
 

track_audio.m

@@ -62,7 +62,7 @@ N = 100; % The number of steps to run this stuff.
 % Initialize posterior mean and covariance
 posteriorMean = zeros(size(A, 1), N);
 posteriorCovariance = zeros(size(A, 1), size(A, 1), N);
-
+measuredLocations = zeros(N,1);
 
 % =======================================================
 % Main loop - Perform localization and tracking
@@ -70,8 +70,9 @@ posteriorCovariance = zeros(size(A, 1), size(A, 1), N);
 display('Entering main loop')
 tic();
 t_old = toc();
+
 for l = 1:N
-    audio = get_audio();
+    audio = get_audio(2048);
     t_new = toc();
     dti = t_new - t_old();
     % Request processing
@@ -88,31 +89,16 @@ for l = 1:N
     
     posteriorMean(:, l) = x;
     posteriorCovariance(:, :, l) = P;
+    measuredLocations(l) = azimEst;
     %     pause(max(,0))
+    pause(0.01)
     t_old = t_new;
 end
 
-% Plot measurements
-subplot(2, nFiles / 2, k);
-timeAxis = linspace(0, nSamples / fsHz, nFrames);
-plot(timeAxis, measuredLocations, 'x', 'LineWidth', 2);
-axis([0, nSamples / fsHz, -90, 90]);
+plot(measuredLocations, 'x', 'LineWidth', 2);
 xlabel('Time / s');
 ylabel('Azimuth / deg');
 grid on; hold on;
-plot(timeAxis, posteriorMean(1, :), 'g', 'LineWidth', 2);
+plot(posteriorMean(1, :), 'g', 'LineWidth', 2);
 
-% Plot ground truth
-plot(timeAxis, gtTrajectory, 'r--', 'LineWidth', 2);
-legend('Measurements', 'Estimated trajectory', 'Ground truth');
 
-% Compute RMSE
-rmse = sqrt(sum((posteriorMean(1, :) - gtTrajectory).^2) ./ nFrames);
-
-if ~strcmpi(noiseType, 'none')
-    title([upper(soundType), ', ', upper(noiseType), ' NOISE AT ', ...
-        num2str(snr), ' dB SNR, ', 'RMSE: ', num2str(rmse), '°']);
-else
-    title([upper(soundType), ', NO NOISE, ', 'RMSE: ', ...
-        num2str(rmse), '°']);
-end