comparison examples/sound/sampled/args @ 1:5df24c91468d

Oh my what a mess.
author samer
date Fri, 05 Apr 2019 16:26:00 +0100
parents bf79fb79ee13
children b67a33c44de7
comparison
equal deleted inserted replaced
0:bf79fb79ee13 1:5df24c91468d
1 #properties 1 #properties
2 #Thu Jul 14 14:15:19 BST 2011 2 #Tue Mar 26 14:09:07 GMT 2019
3 function.derivative.plotter.window.bounds=(375,357,426,239) 3 function.derivative.plotter.window.bounds=(375,357,426,239)
4 sqrt.plotter.window.bounds=(0,0,208,122) 4 sqrt.plotter.window.bounds=(0,0,208,122)
5 waveform.image.cell.size=1 5 waveform.image.cell.size=1
6 joint.histogram.map.minimum=20.000 6 joint.histogram.map.minimum=20.000
7 stacker.output.reshaped.image.map.minimum=0.1 7 stacker.output.reshaped.image.map.minimum=0.1
191 stacker.target.reshaped.image.map.maximum=5.0 191 stacker.target.reshaped.image.map.maximum=5.0
192 FIR.coefficients.plotter.window.bounds=(397,315,475,142) 192 FIR.coefficients.plotter.window.bounds=(397,315,475,142)
193 mog.state.image.window.bounds=(470,885,419,91) 193 mog.state.image.window.bounds=(470,885,419,91)
194 signal.map.maximum=1.0 194 signal.map.maximum=1.0
195 spectrum.editor.image.window.bounds=(126,215,823,135) 195 spectrum.editor.image.window.bounds=(126,215,823,135)
196 filessink.scale.bounds=(280,23,201,57)
196 ica.learn.G.image.window.bounds=(916,91,264,278) 197 ica.learn.G.image.window.bounds=(916,91,264,278)
197 scaler.scaleRate=-0.010 198 scaler.scaleRate=-0.010
198 subrate.factor=1 199 subrate.factor=1
199 mog.-log\ p(s).image.window.bounds=(0,0,146,39) 200 mog.-log\ p(s).image.window.bounds=(0,0,146,39)
200 spectrum.histogram.bins.rowcolumn.plotter.window.bounds=(948,487,208,122) 201 spectrum.histogram.bins.rowcolumn.plotter.window.bounds=(948,487,208,122)
246 midiin.image.window.bounds=(444,540,270,58) 247 midiin.image.window.bounds=(444,540,270,58)
247 histogram.bins.rowcolumn.plotter.window.bounds=(891,618,208,122) 248 histogram.bins.rowcolumn.plotter.window.bounds=(891,618,208,122)
248 logprior.strength=0.0 249 logprior.strength=0.0
249 audio.exposed.bounds=(980,190,229,372) 250 audio.exposed.bounds=(980,190,229,372)
250 ica.s.plotter.window.bounds=(151,296,264,118) 251 ica.s.plotter.window.bounds=(151,296,264,118)
251 exposed.bounds=(1,22,296,778) 252 exposed.bounds=(4,23,238,64)
252 noise=(Gaussian.) 253 noise=(Gaussian.)
253 audio.offset=-507.6 254 audio.offset=-507.6
254 step=384 255 step=384
255 sig.trace.map.minimum=0.002 256 sig.trace.map.minimum=0.002
256 e(x).plotter.window.bounds=(360,644,264,118) 257 e(x).plotter.window.bounds=(360,644,264,118)
285 spectrum.histogram.likelihood.trace.window.bounds=(273,283,173,534) 286 spectrum.histogram.likelihood.trace.window.bounds=(273,283,173,534)
286 mixture.p=0.5 287 mixture.p=0.5
287 waveform.plotter.map.maximum=36000.0 288 waveform.plotter.map.maximum=36000.0
288 russian.vodka.jelly=snoozy 289 russian.vodka.jelly=snoozy
289 spectrum.trace.map.minimum=3.2E-5 290 spectrum.trace.map.minimum=3.2E-5
291 mat.image.window.bounds=(0,0,264,278)
292 coder.learn.rate=0.16
290 scaleNormaliser.scale.editor.plotter.window.bounds=(282,629,264,118) 293 scaleNormaliser.scale.editor.plotter.window.bounds=(282,629,264,118)
291 coder.learn.rate=0.16
292 mat.image.window.bounds=(0,0,264,278)
293 e.trace.window.bounds=(0,89,264,278) 294 e.trace.window.bounds=(0,89,264,278)
294 normaliser.mean=-444.473 295 normaliser.mean=-444.473
295 vector.editor.button1=0.1 296 vector.editor.button1=0.1
297 scaler.E.trace.window.bounds=(360,376,264,86)
296 test.file=test3.silk 298 test.file=test3.silk
297 scaler.E.trace.window.bounds=(360,376,264,86)
298 p=1.0E-5 299 p=1.0E-5
299 ica.C.image.window.bounds=(516,524,264,278) 300 ica.C.image.window.bounds=(516,524,264,278)
300 scaler.output.plotter.window.bounds=(627,566,264,75) 301 scaler.output.plotter.window.bounds=(627,566,264,75)
302 wavewriter.scale.bounds=(305,57,199,57)
301 v1.B.editor.window.bounds=(0,0,187,201) 303 v1.B.editor.window.bounds=(0,0,187,201)
302 wavewriter.scale.bounds=(305,57,199,57)
303 midisynth.factor=120.0 304 midisynth.factor=120.0
305 factor=58
304 v1.B.image.window.bounds=(0,0,146,54) 306 v1.B.image.window.bounds=(0,0,146,54)
305 factor=58
306 ft.mag.diffScaler.output.stacker.output.reshaped.image.window.bounds=(303,249,264,49) 307 ft.mag.diffScaler.output.stacker.output.reshaped.image.window.bounds=(303,249,264,49)
307 image.height=16 308 image.height=16
308 ica.learn.G.rowcolumn.plotter.window.bounds=(166,816,937,118) 309 ica.learn.G.rowcolumn.plotter.window.bounds=(166,816,937,118)
309 matrix.plotter.rowcolumn.plotter.window.bounds=(5,159,212,136) 310 matrix.plotter.rowcolumn.plotter.window.bounds=(5,159,212,136)
310 histogram.likelihood.plotter.window.bounds=(891,383,264,100) 311 histogram.likelihood.plotter.window.bounds=(891,383,264,100)
312 matrix.rowcolumn.plotter.window.bounds=(0,0,212,136)
311 VState.Optimiser.bounds=(0,0,287,592) 313 VState.Optimiser.bounds=(0,0,287,592)
312 matrix.rowcolumn.plotter.window.bounds=(0,0,212,136)
313 scaler.NlogK.trace.window.bounds=(0,551,264,86) 314 scaler.NlogK.trace.window.bounds=(0,551,264,86)
315 w1.scale=0.01
314 joint.histogram.bins.image.window.bounds=(701,314,163,193) 316 joint.histogram.bins.image.window.bounds=(701,314,163,193)
315 w1.scale=0.01
316 ft.mag.diffScaler.output.stacker.output.reshaped.image.map.minimum=1.0 317 ft.mag.diffScaler.output.stacker.output.reshaped.image.map.minimum=1.0
317 spectrum.trace.window.bounds=(284,206,256,294) 318 spectrum.trace.window.bounds=(284,206,256,294)
319 jelly=wobbly
318 normaliser.rate=0.004 320 normaliser.rate=0.004
319 jelly=wobbly
320 vector.reshaped.image.window.bounds=(0,0,146,294) 321 vector.reshaped.image.window.bounds=(0,0,146,294)
322 mog.-log\ p(s).plotter.window.bounds=(469,627,427,129)
321 mog.weights.editor.plotter.window.bounds=(300,492,225,127) 323 mog.weights.editor.plotter.window.bounds=(300,492,225,127)
322 mog.-log\ p(s).plotter.window.bounds=(469,627,427,129)
323 generator=(oscillator "osc1" 0.1) 324 generator=(oscillator "osc1" 0.1)
324 stacker.output.reshaped.image.map.symmetric=false 325 stacker.output.reshaped.image.map.symmetric=false
325 waveform.plotter.window.bounds=(364,356,512,118) 326 waveform.plotter.window.bounds=(364,356,512,118)
327 scaler.offsetRate=3.200E-6
328 mog.sigmas.editor.plotter.window.bounds=(300,196,224,117)
326 scaler.scale=4715.263 329 scaler.scale=4715.263
327 mog.sigmas.editor.plotter.window.bounds=(300,196,224,117)
328 scaler.offsetRate=3.200E-6
329 filter.mean.plotter.window.bounds=(637,652,214,138) 330 filter.mean.plotter.window.bounds=(637,652,214,138)
330 regulator.target=46.733 331 regulator.target=46.733
331 source=line 332 source=line
332 matrix.rowcolumn.editor.plotter.window.bounds=(613,573,367,148) 333 matrix.rowcolumn.editor.plotter.window.bounds=(613,573,367,148)
333 ft.power.diffScaler.output.trace.window.bounds=(301,22,272,778) 334 ft.power.diffScaler.output.trace.window.bounds=(301,22,272,778)
338 ica.s.trace.window.bounds=(0,89,264,278) 339 ica.s.trace.window.bounds=(0,89,264,278)
339 filter.waveform.scaler.scaleRate=0.01 340 filter.waveform.scaler.scaleRate=0.01
340 infile=/mnt/sauce/music/projwav/beethoven/piano/fm-1.wav 341 infile=/mnt/sauce/music/projwav/beethoven/piano/fm-1.wav
341 ica.e(x).trace.window.bounds=(876,54,264,278) 342 ica.e(x).trace.window.bounds=(876,54,264,278)
342 histogram.bins.image.window.bounds=(162,599,86,278) 343 histogram.bins.image.window.bounds=(162,599,86,278)
344 vector.image.window.bounds=(113,544,404,72)
343 function.plotter.x.map.maximum=4.0 345 function.plotter.x.map.maximum=4.0
344 vector.image.window.bounds=(113,544,404,72) 346 x.image.window.bounds=(373,381,265,83)
345 ica.log\ |W|=-580.779 347 ica.log\ |W|=-580.779
346 x.image.window.bounds=(373,381,265,83)
347 ica.W.rowcolumn.image.window.bounds=(248,190,264,49) 348 ica.W.rowcolumn.image.window.bounds=(248,190,264,49)
348 spectrum.plotter.window.bounds=(76,580,813,116) 349 spectrum.plotter.window.bounds=(76,580,813,116)
349 ica.G.image.window.bounds=(283,0,264,278) 350 ica.G.image.window.bounds=(283,0,264,278)
350 vector.editor.image.window.bounds=(371,114,292,102) 351 vector.editor.image.window.bounds=(371,114,292,102)
352 spectrum.histogram.bins.image.window.bounds=(451,284,104,534)
351 histogram.sumL.trace.window.bounds=(891,156,264,86) 353 histogram.sumL.trace.window.bounds=(891,156,264,86)
352 spectrum.histogram.bins.image.window.bounds=(451,284,104,534) 354 out.trace.window.bounds=(13,401,1036,292)
353 test.color=\#465f90 355 test.color=\#465f90
354 out.trace.window.bounds=(13,401,1036,292)
355 mog.sigmas.rowcolumn.editor.plotter.window.bounds=(623,452,236,138) 356 mog.sigmas.rowcolumn.editor.plotter.window.bounds=(623,452,236,138)
357 ica.e(x).plotter.window.bounds=(333,471,264,118)
356 w1.color=\#817a9b 358 w1.color=\#817a9b
357 ica.e(x).plotter.window.bounds=(333,471,264,118)
358 spectrum.histogram.sumL.trace.window.bounds=(297,845,272,83) 359 spectrum.histogram.sumL.trace.window.bounds=(297,845,272,83)
359 histogram.bins=96 360 histogram.bins=96