Mercurial > hg > jslab
comparison examples/sound/sampled/args.old @ 0:bf79fb79ee13
Initial Mercurial check in.
author | samer |
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date | Tue, 17 Jan 2012 17:50:20 +0000 |
parents | |
children | 5df24c91468d |
comparison
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-1:000000000000 | 0:bf79fb79ee13 |
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1 #properties | |
2 #Thu Jul 14 12:56:51 BST 2011 | |
3 function.derivative.plotter.window.bounds=(375,357,426,239) | |
4 sqrt.plotter.window.bounds=(0,0,208,122) | |
5 waveform.image.cell.size=1 | |
6 joint.histogram.map.minimum=20.000 | |
7 stacker.output.reshaped.image.map.minimum=0.1 | |
8 editor.plotter.type=4 | |
9 mog.weights.learn.rate=1.2E-4 | |
10 coder.A.editor.window.bounds=(562,376,211,247) | |
11 vodka.jelly=woozy | |
12 scaler.offset=-451.602 | |
13 decay=0.995 | |
14 mog.sigmas.image.window.bounds=(301,388,219,108) | |
15 coeff.editor.plotter.window.bounds=(0,0,214,494) | |
16 filter.waveform.scaler.scale=0.080 | |
17 mog.means.rowcolumn.editor.plotter.window.bounds=(617,334,265,114) | |
18 logprior.beta=0.01 | |
19 vector.editor.plotter.window.bounds=(20,218,362,178) | |
20 shortspec.trace.window.bounds=(0,0,264,278) | |
21 normaliser.signal.plotter.map.maximum=6.0 | |
22 director.bounds=(704,182,444,278) | |
23 ft.mag.plotter.window.bounds=(382,298,264,120) | |
24 ETA=0.75 | |
25 spectrum.stats.covariance.image.window.bounds=(523,366,256,278) | |
26 basis.subrate.factor=10 | |
27 x.editor.image.window.bounds=(0,0,230,59) | |
28 filter.ft.mag.trace.window.bounds=(334,0,264,280) | |
29 phi.plotter.window.bounds=(0,0,520,118) | |
30 mog.weight.editor.window.bounds=(302,548,504,116) | |
31 stacker.target.reshaped.image.map.minimum=5.0E-4 | |
32 ica.s.image.window.bounds=(876,426,264,49) | |
33 v2.y.image.window.bounds=(559,525,221,65) | |
34 signal.map.minimum=-1.0 | |
35 normaliser.signal.plotter.window.bounds=(505,372,512,113) | |
36 function.derivative.plotter.y.map.minimum=-1.28 | |
37 sig.trace.map.symmetric=false | |
38 z.plotter.window.bounds=(0,0,214,138) | |
39 spectrum.trace.map.symmetric=false | |
40 xtol=0.001 | |
41 mog.likelihood.map.symmetric=false | |
42 ica.E(x).trace.window.bounds=(876,336,264,86) | |
43 out.image.window.bounds=(497,548,268,67) | |
44 midiin.editor.image.window.bounds=(309,502,444,71) | |
45 scaler.scale.trace.map.minimum=-0.0 | |
46 mog.weights.editor.plotter.map.symmetric=false | |
47 matrix.file=walking_zither2 | |
48 thread.priority=-0.1 | |
49 mog.means.editor.plotter.window.bounds=(300,313,224,178) | |
50 spoon=58 | |
51 B.editor.window.bounds=(209,223,199,249) | |
52 file=walking_zither2 | |
53 mog.likelihood.trace.window.bounds=(309,725,428,178) | |
54 mixture.gauss2.variance=0.8 | |
55 sig.trace.map.maximum=2.999 | |
56 signalBlock.trace.window.bounds=(373,457,264,49) | |
57 E.trace.map.minimum=0.0 | |
58 batch=512 | |
59 buffer(Product(filter(sqrt(filter(wavetable))),Gaussian)).plotter.window.bounds=(416,491,264,120) | |
60 mog.p.editor.plotter.window.bounds=(0,0,214,138) | |
61 mog.weights.editor.image.window.bounds=(25,172,333,118) | |
62 normaliser.level.trace.map.minimum=15.999 | |
63 MidiSynthEditor.bounds=(-8,226,391,230) | |
64 waveform.scaler.batch=8 | |
65 B.image.window.bounds=(0,0,146,54) | |
66 joint.histogram.likelihood.trace.window.bounds=(84,573,293,96) | |
67 matrix.editor.window.bounds=(660,438,186,213) | |
68 XEPS=1.0E-6 | |
69 spoons=true | |
70 mog.sigmas.editor.image.window.bounds=(238,1,270,125) | |
71 z.trace.window.bounds=(5,696,1036,292) | |
72 function.plotter.y.map.maximum=1.099 | |
73 signal.trace.window.bounds=(21,69,290,147) | |
74 ica.<phi(s)s'>.image.window.bounds=(264,0,264,278) | |
75 waveform.trace.window.bounds=(1010,234,264,534) | |
76 waveform.scaler.output.plotter.window.bounds=(627,566,264,75) | |
77 sig1.trace.window.bounds=(400,408,287,145) | |
78 coder.L.trace.window.bounds=(0,0,264,86) | |
79 filter.waveform.scaler.offset=-0.010 | |
80 scaleNormaliser.output.trace.window.bounds=(272,281,264,278) | |
81 filter.ft.mag.plotter.window.bounds=(382,298,264,120) | |
82 z.histogram.bins.plotter.window.bounds=(607,461,214,138) | |
83 filter.ft.mag.diffScaler.output.plotter.window.bounds=(352,166,520,120) | |
84 plotter.type=0 | |
85 spectrum.stats.cov.image.window.bounds=(9,449,256,278) | |
86 filter.mean.image.window.bounds=(765,605,146,59) | |
87 scaleNormaliser.output.plotter.window.bounds=(0,0,264,118) | |
88 loudness.plotter.window.bounds=(387,18,146,150) | |
89 ftol=1.0E-6 | |
90 waveform.scaler.offset=1.554E-4 | |
91 image.width=256 | |
92 playlist.bounds=(0,0,415,185) | |
93 genexp.plotter.window.bounds=(0,12,617,307) | |
94 matrix.editor.button1=2.0 | |
95 learn.G.image.window.bounds=(264,0,264,278) | |
96 g.plotter.window.bounds=(627,645,524,88) | |
97 signalBlock.plotter.window.bounds=(669,409,149,145) | |
98 x.editor.plotter.window.bounds=(360,621,268,91) | |
99 vector.editor.image.button1=0.1 | |
100 x.plotter.window.bounds=(471,759,419,126) | |
101 normaliser.mean.trace.window.bounds=(891,156,265,70) | |
102 console.frame.bounds=(128,657,301,51) | |
103 spectrum.trace.map.maximum=153.6 | |
104 stacker.output.image.map.minimum=0.089 | |
105 out.plotter.window.bounds=(20,124,623,115) | |
106 function.derivative.plotter.x.map.maximum=4.0 | |
107 file.bounds=(111,141,520,341) | |
108 mog.p.plotter.window.bounds=(0,0,235,98) | |
109 Likelihood.trace.window.bounds=(310,509,423,213) | |
110 color.title=Color | |
111 filter.residual.image.window.bounds=(878,524,146,63) | |
112 v2.A.editor.window.bounds=(0,0,243,306) | |
113 ft.mag.diffScaler.w.file=diffscaler.w | |
114 MidiSynth.bounds=(2,61,455,148) | |
115 plotter.y.map.symmetric=false | |
116 signalBlock.image.window.bounds=(700,431,86,49) | |
117 phi(x).plotter.window.bounds=(360,522,264,118) | |
118 flush.subrate.factor=1000 | |
119 genexp.derivative.plotter.window.bounds=(91,334,444,320) | |
120 ica.W.rowcolumn.plotter.window.bounds=(104,451,510,118) | |
121 waveform.linetrace.window.bounds=(268,358,227,284) | |
122 matrix.rowcolumn.trace.window.bounds=(176,395,241,294) | |
123 coeffs.editor.image.window.bounds=(530,731,273,103) | |
124 filter.waveform.scaler.output.plotter.window.bounds=(627,566,264,175) | |
125 v1.y.image.window.bounds=(558,454,223,67) | |
126 ft.mag.diffScaler.output.stacker.output.reshaped.image.map.maximum=200.0 | |
127 ft.mag.diffScaler.batch=16 | |
128 cell.size=1 | |
129 scaler.output.trace.window.bounds=(0,461,264,278) | |
130 function.plotter.window.bounds=(375,90,416,263) | |
131 sqrt.trace.window.bounds=(0,0,264,534) | |
132 z.image.window.bounds=(479,637,268,40) | |
133 vector.plotter.window.bounds=(498,531,302,121) | |
134 audio.rate=22050 | |
135 waveform.image.window.bounds=(103,503,1038,58) | |
136 midisynth.offset=32 | |
137 ZETA=0.125 | |
138 ica.rate=0.04 | |
139 matrix.plotter.window.bounds=(0,0,212,136) | |
140 ft.mag.diffScaler.w.plotter.window.bounds=(304,298,264,120) | |
141 stacker.output.reshaped.image.window.bounds=(303,249,264,49) | |
142 outbuf.plotter.window.bounds=(202,728,242,141) | |
143 mouse.exposed.bounds=(860,192,188,120) | |
144 v2.x.image.window.bounds=(625,587,236,63) | |
145 coder.W.image.window.bounds=(0,90,264,278) | |
146 scaler.scale.trace.window.bounds=(0,-1,264,86) | |
147 mog.means.image.window.bounds=(301,283,224,103) | |
148 gtol=0.01 | |
149 mog.-log\ p(s).trace.window.bounds=(310,291,423,216) | |
150 mog.weight.image.window.bounds=(412,259,221,103) | |
151 ica.g.plotter.window.bounds=(360,278,264,118) | |
152 waveform.scaler.offsetRate=3.2E-6 | |
153 jelly.bounds=(369,132,270,294) | |
154 waveform.plotter.map.symmetric=true | |
155 e.plotter.window.bounds=(34,408,520,118) | |
156 mog.sigmas.editor.plotter.map.symmetric=false | |
157 lineout.scale.bounds=(307,0,199,57) | |
158 mog.sigmas.learn.rate=2.0E-4 | |
159 normaliser.level=693.855 | |
160 E.trace.window.bounds=(0,371,264,86) | |
161 mog.means.learn.rate=0.001 | |
162 filter.waveform.scaler.batch=16 | |
163 matrix.plotter.rowcolumn.image.window.bounds=(318,43,268,40) | |
164 joint.histogram.map.maximum=10000.0 | |
165 stacker.output.reshaped.image.map.maximum=100.0 | |
166 Image\ Viewer.bounds=(759,485,243,264) | |
167 ica.C.rowcolumn.plotter.window.bounds=(521,856,525,118) | |
168 energy.trace.window.bounds=(575,749,584,178) | |
169 spectrum.editor.plotter.window.bounds=(282,31,583,169) | |
170 ica.W.file=wave-256-ica | |
171 matrix.rowcolumn.image.window.bounds=(417,470,266,55) | |
172 GEPS=0.001 | |
173 x.histogram.bins.image.window.bounds=(693,378,146,115) | |
174 sqrt.image.window.bounds=(250,621,520,49) | |
175 ica.W.image.window.bounds=(780,524,264,278) | |
176 writer.enable=false | |
177 ica.L.trace.map.maximum=2000.0 | |
178 audio.buffer=8192 | |
179 buffer(oscillator).plotter.window.bounds=(303,0,520,120) | |
180 filter.waveform.scaler.offsetRate=3.2E-6 | |
181 ica.G.plotter.window.bounds=(318,173,264,118) | |
182 lineout.scale=1.0 | |
183 Tasks.bounds=(19,571,206,152) | |
184 vector.editor.window.bounds=(497,165,268,87) | |
185 stacker.target.reshaped.image.map.maximum=5.0 | |
186 FIR.coefficients.plotter.window.bounds=(397,315,475,142) | |
187 mog.state.image.window.bounds=(470,885,419,91) | |
188 signal.map.maximum=1.0 | |
189 spectrum.editor.image.window.bounds=(126,215,823,135) | |
190 ica.learn.G.image.window.bounds=(916,91,264,278) | |
191 scaler.scaleRate=-0.010 | |
192 subrate.factor=1 | |
193 mog.-log\ p(s).image.window.bounds=(0,0,146,39) | |
194 spectrum.histogram.bins.rowcolumn.plotter.window.bounds=(948,487,208,122) | |
195 ft.mag.diffScaler.stretch=0.001 | |
196 logprior.derivative.plotter.window.bounds=(0,0,254,158) | |
197 E(x).trace.window.bounds=(891,246,264,86) | |
198 test.spam=true | |
199 sig.trace.window.bounds=(85,678,434,95) | |
200 mixture.gauss2.mean=0.2 | |
201 waveform.scaler.scaleRate=0.01 | |
202 scaler.offset.trace.window.bounds=(360,196,264,86) | |
203 energy.plotter.window.bounds=(0,0,206,134) | |
204 matrix.image.window.bounds=(420,169,268,292) | |
205 normaliser.signal.image.window.bounds=(505,350,513,51) | |
206 output.plotter.window.bounds=(352,166,520,120) | |
207 signal.trace.map.maximum=1.0 | |
208 playlist.files='("/Users/samer/Music/Bach/inv2part.wav" "/Users/samer/Music/Bach/inv3part.wav") | |
209 mixture.gauss1.variance=0.1 | |
210 matrix.rowcolumn.editor.image.window.bounds=(394,259,409,95) | |
211 mog.means.editor.window.bounds=(304,433,505,113) | |
212 E.trace.map.maximum=1280.0 | |
213 ft-magnitude.trace.window.bounds=(4,22,256,534) | |
214 ica.L.trace.window.bounds=(876,336,264,86) | |
215 normaliser.level.trace.map.maximum=6399.999 | |
216 histogram.likelihood.trace.window.bounds=(891,336,264,278) | |
217 regulated=true | |
218 mog.p(s|x).image.window.bounds=(189,455,146,212) | |
219 ica.learn.rate=0.012 | |
220 normaliser.level.trace.window.bounds=(891,85,266,67) | |
221 y.image.window.bounds=(562,306,180,71) | |
222 playlist.current=/mnt/sauce/music/Bach/wav/inv3part.wav | |
223 w1.color.bounds=(365,495,381,382) | |
224 mog.means.plotter.window.bounds=(0,0,214,138) | |
225 filter.residual.histogram.bins.image.window.bounds=(690,367,166,130) | |
226 directory=/mnt/sauce/music/Bach/wav | |
227 mog.p.editor.image.window.bounds=(0,0,297,100) | |
228 size=1024 | |
229 linebuf.plotter.window.bounds=(39,125,798,142) | |
230 coder.learn.deltas.image.window.bounds=(264,90,264,278) | |
231 bits.image.window.bounds=(248,688,117,49) | |
232 v1.e.image.window.bounds=(0,0,146,47) | |
233 scaleNormaliser.scale.plotter.window.bounds=(0,0,264,118) | |
234 pdf.plotter.window.bounds=(591,692,254,158) | |
235 mog.sigmas.editor.window.bounds=(304,304,503,129) | |
236 trace.scrollStep=1 | |
237 buffer(filter(wavetable)).plotter.window.bounds=(4,22,520,120) | |
238 x^2.plotter.window.bounds=(0,0,418,134) | |
239 mouse.y.trace.window.bounds=(536,252,260,164) | |
240 midiin.image.window.bounds=(444,540,270,58) | |
241 histogram.bins.rowcolumn.plotter.window.bounds=(891,618,208,122) | |
242 logprior.strength=0.0 | |
243 audio.exposed.bounds=(980,190,229,372) | |
244 ica.s.plotter.window.bounds=(151,296,264,118) | |
245 exposed.bounds=(4,22,302,778) | |
246 noise=(Gaussian.) | |
247 audio.offset=-507.6 | |
248 step=384 | |
249 sig.trace.map.minimum=0.002 | |
250 e(x).plotter.window.bounds=(360,644,264,118) | |
251 table.editor.plotter.window.bounds=(237,265,423,246) | |
252 directory.bounds=(698,81,443,295) | |
253 normaliser.signal.trace.window.bounds=(891,336,264,278) | |
254 mog.likelihood.map.minimum=-0.0 | |
255 Desktop.bounds=(206,3,1014,862) | |
256 buffer(Product(filter(filter(wavetable)),Gaussian)).plotter.window.bounds=(403,470,264,120) | |
257 stacker.target.reshaped.image.window.bounds=(460,564,308,64) | |
258 v2.e.image.window.bounds=(0,0,146,39) | |
259 spectrum.image.window.bounds=(504,404,517,46) | |
260 coder.C.image.window.bounds=(264,90,264,278) | |
261 canvas.bounds=(0,0,630,520) | |
262 function.plotter.y.map.minimum=-0.099 | |
263 filter.playlist.current=/home/music/wav/22kmono/bach/sonata2/grave.wav | |
264 waveform.scaler.scale=0.011 | |
265 map.symmetric=true | |
266 stacker.output.image.window.bounds=(0,688,1280,49) | |
267 vector.trace.window.bounds=(717,546,339,176) | |
268 mog.weights.plotter.window.bounds=(641,632,214,138) | |
269 x.trace.window.bounds=(570,433,270,111) | |
270 mogpdf.plotter.window.bounds=(661,822,254,95) | |
271 coeffs.editor.plotter.map.maximum=2.0 | |
272 smoothness=5.0 | |
273 ica.<phi(s)s'>.plotter.window.bounds=(0,0,264,118) | |
274 Plotter.bounds=(356,62,408,395) | |
275 filter.ft.mag.diffScaler.w.plotter.window.bounds=(437,433,264,120) | |
276 tasklist.bounds=(887,0,245,185) | |
277 trace.bounds=(10,821,290,99) | |
278 vector.histogram.bins.image.window.bounds=(325,41,144,292) | |
279 spectrum.histogram.likelihood.trace.window.bounds=(273,283,173,534) | |
280 mixture.p=0.5 | |
281 waveform.plotter.map.maximum=36000.0 | |
282 russian.vodka.jelly=snoozy | |
283 spectrum.trace.map.minimum=3.2E-5 | |
284 scaleNormaliser.scale.editor.plotter.window.bounds=(282,629,264,118) | |
285 coder.learn.rate=0.16 | |
286 mat.image.window.bounds=(0,0,264,278) | |
287 e.trace.window.bounds=(0,89,264,278) | |
288 normaliser.mean=-444.473 | |
289 vector.editor.button1=0.1 | |
290 scaler.E.trace.window.bounds=(360,376,264,86) | |
291 test.file=test3.silk | |
292 p=1.0E-5 | |
293 ica.C.image.window.bounds=(516,524,264,278) | |
294 scaler.output.plotter.window.bounds=(627,566,264,75) | |
295 wavewriter.scale.bounds=(305,57,199,57) | |
296 v1.B.editor.window.bounds=(0,0,187,201) | |
297 midisynth.factor=120.0 | |
298 factor=58 | |
299 v1.B.image.window.bounds=(0,0,146,54) | |
300 ft.mag.diffScaler.output.stacker.output.reshaped.image.window.bounds=(303,249,264,49) | |
301 image.height=16 | |
302 ica.learn.G.rowcolumn.plotter.window.bounds=(166,816,937,118) | |
303 matrix.plotter.rowcolumn.plotter.window.bounds=(5,159,212,136) | |
304 histogram.likelihood.plotter.window.bounds=(891,383,264,100) | |
305 matrix.rowcolumn.plotter.window.bounds=(0,0,212,136) | |
306 VState.Optimiser.bounds=(0,0,287,592) | |
307 scaler.NlogK.trace.window.bounds=(0,551,264,86) | |
308 w1.scale=0.01 | |
309 joint.histogram.bins.image.window.bounds=(701,314,163,193) | |
310 ft.mag.diffScaler.output.stacker.output.reshaped.image.map.minimum=1.0 | |
311 spectrum.trace.window.bounds=(284,206,256,294) | |
312 jelly=wobbly | |
313 normaliser.rate=0.004 | |
314 vector.reshaped.image.window.bounds=(0,0,146,294) | |
315 mog.-log\ p(s).plotter.window.bounds=(469,627,427,129) | |
316 mog.weights.editor.plotter.window.bounds=(300,492,225,127) | |
317 generator=(oscillator "osc1" 0.1) | |
318 stacker.output.reshaped.image.map.symmetric=false | |
319 waveform.plotter.window.bounds=(364,356,512,118) | |
320 scaler.offsetRate=3.200E-6 | |
321 mog.sigmas.editor.plotter.window.bounds=(300,196,224,117) | |
322 scaler.scale=4715.263 | |
323 filter.mean.plotter.window.bounds=(637,652,214,138) | |
324 regulator.target=46.733 | |
325 source=line | |
326 matrix.rowcolumn.editor.plotter.window.bounds=(613,573,367,148) | |
327 coder.sigma=0.001 | |
328 trace.map.symmetric=false | |
329 coeffs.editor.plotter.window.bounds=(283,22,584,177) | |
330 ft.mag.diffScaler.scale=0.01 | |
331 ica.s.trace.window.bounds=(0,89,264,278) | |
332 filter.waveform.scaler.scaleRate=0.01 | |
333 infile=/mnt/sauce/music/projwav/beethoven/piano/fm-1.wav | |
334 ica.e(x).trace.window.bounds=(876,54,264,278) | |
335 histogram.bins.image.window.bounds=(162,599,86,278) | |
336 vector.image.window.bounds=(113,544,404,72) | |
337 function.plotter.x.map.maximum=4.0 | |
338 x.image.window.bounds=(373,381,265,83) | |
339 ica.log\ |W|=-580.779 | |
340 ica.W.rowcolumn.image.window.bounds=(248,190,264,49) | |
341 spectrum.plotter.window.bounds=(76,580,813,116) | |
342 ica.G.image.window.bounds=(283,0,264,278) | |
343 vector.editor.image.window.bounds=(371,114,292,102) | |
344 spectrum.histogram.bins.image.window.bounds=(451,284,104,534) | |
345 histogram.sumL.trace.window.bounds=(891,156,264,86) | |
346 out.trace.window.bounds=(13,401,1036,292) | |
347 test.color=\#465f90 | |
348 mog.sigmas.rowcolumn.editor.plotter.window.bounds=(623,452,236,138) | |
349 ica.e(x).plotter.window.bounds=(333,471,264,118) | |
350 w1.color=\#817a9b | |
351 spectrum.histogram.sumL.trace.window.bounds=(297,845,272,83) | |
352 histogram.bins=96 |