samer@0: #properties
samer@8: #Fri Apr 05 22:17:43 BST 2019
samer@0: function.derivative.plotter.window.bounds=(375,357,426,239)
samer@0: sqrt.plotter.window.bounds=(0,0,208,122)
samer@0: waveform.image.cell.size=1
samer@0: joint.histogram.map.minimum=20.000
samer@0: stacker.output.reshaped.image.map.minimum=0.1
samer@0: editor.plotter.type=4
samer@0: mog.weights.learn.rate=1.2E-4
samer@0: coder.A.editor.window.bounds=(562,376,211,247)
samer@0: vodka.jelly=woozy
samer@0: scaler.offset=-451.602
samer@0: decay=0.995
samer@0: mog.sigmas.image.window.bounds=(301,388,219,108)
samer@0: coeff.editor.plotter.window.bounds=(0,0,214,494)
samer@0: filter.waveform.scaler.scale=0.080
samer@0: mog.means.rowcolumn.editor.plotter.window.bounds=(617,334,265,114)
samer@0: logprior.beta=0.01
samer@0: vector.editor.plotter.window.bounds=(20,218,362,178)
samer@0: shortspec.trace.window.bounds=(0,0,264,278)
samer@0: normaliser.signal.plotter.map.maximum=6.0
samer@0: director.bounds=(704,182,444,278)
samer@0: ft.mag.plotter.window.bounds=(382,298,264,120)
samer@0: ETA=0.75
samer@0: spectrum.stats.covariance.image.window.bounds=(523,366,256,278)
samer@0: basis.subrate.factor=10
samer@1: ft.power.diffScaler.output.image.window.bounds=(200,141,1078,105)
samer@0: x.editor.image.window.bounds=(0,0,230,59)
samer@0: filter.ft.mag.trace.window.bounds=(334,0,264,280)
samer@0: phi.plotter.window.bounds=(0,0,520,118)
samer@0: mog.weight.editor.window.bounds=(302,548,504,116)
samer@0: stacker.target.reshaped.image.map.minimum=5.0E-4
samer@0: ica.s.image.window.bounds=(876,426,264,49)
samer@0: v2.y.image.window.bounds=(559,525,221,65)
samer@0: signal.map.minimum=-1.0
samer@0: normaliser.signal.plotter.window.bounds=(505,372,512,113)
samer@0: function.derivative.plotter.y.map.minimum=-1.28
samer@0: sig.trace.map.symmetric=false
samer@0: z.plotter.window.bounds=(0,0,214,138)
samer@0: spectrum.trace.map.symmetric=false
samer@0: xtol=0.001
samer@0: mog.likelihood.map.symmetric=false
samer@0: ica.E(x).trace.window.bounds=(876,336,264,86)
samer@0: out.image.window.bounds=(497,548,268,67)
samer@0: midiin.editor.image.window.bounds=(309,502,444,71)
samer@0: scaler.scale.trace.map.minimum=-0.0
samer@0: mog.weights.editor.plotter.map.symmetric=false
samer@0: matrix.file=walking_zither2
samer@0: thread.priority=-0.1
samer@0: mog.means.editor.plotter.window.bounds=(300,313,224,178)
samer@0: spoon=58
samer@0: B.editor.window.bounds=(209,223,199,249)
samer@0: file=walking_zither2
samer@0: mog.likelihood.trace.window.bounds=(309,725,428,178)
samer@0: mixture.gauss2.variance=0.8
samer@0: sig.trace.map.maximum=2.999
samer@0: signalBlock.trace.window.bounds=(373,457,264,49)
samer@0: E.trace.map.minimum=0.0
samer@0: batch=512
samer@0: buffer(Product(filter(sqrt(filter(wavetable))),Gaussian)).plotter.window.bounds=(416,491,264,120)
samer@0: mog.p.editor.plotter.window.bounds=(0,0,214,138)
samer@0: mog.weights.editor.image.window.bounds=(25,172,333,118)
samer@0: normaliser.level.trace.map.minimum=15.999
samer@0: MidiSynthEditor.bounds=(-8,226,391,230)
samer@1: waveform.scaler.batch=4
samer@0: B.image.window.bounds=(0,0,146,54)
samer@0: joint.histogram.likelihood.trace.window.bounds=(84,573,293,96)
samer@0: matrix.editor.window.bounds=(660,438,186,213)
samer@0: XEPS=1.0E-6
samer@0: spoons=true
samer@0: mog.sigmas.editor.image.window.bounds=(238,1,270,125)
samer@8: ft.power.trace.window.bounds=(321,23,250,539)
samer@0: z.trace.window.bounds=(5,696,1036,292)
samer@0: function.plotter.y.map.maximum=1.099
samer@0: signal.trace.window.bounds=(21,69,290,147)
samer@0: ica.<phi(s)s'>.image.window.bounds=(264,0,264,278)
samer@0: waveform.trace.window.bounds=(1010,234,264,534)
samer@0: waveform.scaler.output.plotter.window.bounds=(627,566,264,75)
samer@0: sig1.trace.window.bounds=(400,408,287,145)
samer@0: coder.L.trace.window.bounds=(0,0,264,86)
samer@0: filter.waveform.scaler.offset=-0.010
samer@0: scaleNormaliser.output.trace.window.bounds=(272,281,264,278)
samer@0: filter.ft.mag.plotter.window.bounds=(382,298,264,120)
samer@0: z.histogram.bins.plotter.window.bounds=(607,461,214,138)
samer@0: filter.ft.mag.diffScaler.output.plotter.window.bounds=(352,166,520,120)
samer@0: plotter.type=0
samer@0: spectrum.stats.cov.image.window.bounds=(9,449,256,278)
samer@0: filter.mean.image.window.bounds=(765,605,146,59)
samer@0: scaleNormaliser.output.plotter.window.bounds=(0,0,264,118)
samer@1: ft.power.diffScaler.mu.plotter.window.bounds=(297,165,1025,118)
samer@0: loudness.plotter.window.bounds=(387,18,146,150)
samer@1: ft.power.diffScaler.w.plotter.window.bounds=(204,22,548,207)
samer@0: ftol=1.0E-6
samer@0: waveform.scaler.offset=1.554E-4
samer@0: image.width=256
samer@0: playlist.bounds=(0,0,415,185)
samer@0: genexp.plotter.window.bounds=(0,12,617,307)
samer@0: matrix.editor.button1=2.0
samer@0: learn.G.image.window.bounds=(264,0,264,278)
samer@0: g.plotter.window.bounds=(627,645,524,88)
samer@0: signalBlock.plotter.window.bounds=(669,409,149,145)
samer@0: x.editor.plotter.window.bounds=(360,621,268,91)
samer@0: vector.editor.image.button1=0.1
samer@0: x.plotter.window.bounds=(471,759,419,126)
samer@0: normaliser.mean.trace.window.bounds=(891,156,265,70)
samer@0: console.frame.bounds=(128,657,301,51)
samer@0: spectrum.trace.map.maximum=153.6
samer@0: stacker.output.image.map.minimum=0.089
samer@0: out.plotter.window.bounds=(20,124,623,115)
samer@0: function.derivative.plotter.x.map.maximum=4.0
samer@0: file.bounds=(111,141,520,341)
samer@0: mog.p.plotter.window.bounds=(0,0,235,98)
samer@0: Likelihood.trace.window.bounds=(310,509,423,213)
samer@0: color.title=Color
samer@0: filter.residual.image.window.bounds=(878,524,146,63)
samer@0: v2.A.editor.window.bounds=(0,0,243,306)
samer@0: ft.mag.diffScaler.w.file=diffscaler.w
samer@0: MidiSynth.bounds=(2,61,455,148)
samer@0: plotter.y.map.symmetric=false
samer@0: signalBlock.image.window.bounds=(700,431,86,49)
samer@0: phi(x).plotter.window.bounds=(360,522,264,118)
samer@0: flush.subrate.factor=1000
samer@0: genexp.derivative.plotter.window.bounds=(91,334,444,320)
samer@0: ica.W.rowcolumn.plotter.window.bounds=(104,451,510,118)
samer@0: waveform.linetrace.window.bounds=(268,358,227,284)
samer@0: matrix.rowcolumn.trace.window.bounds=(176,395,241,294)
samer@0: coeffs.editor.image.window.bounds=(530,731,273,103)
samer@0: filter.waveform.scaler.output.plotter.window.bounds=(627,566,264,175)
samer@0: v1.y.image.window.bounds=(558,454,223,67)
samer@0: ft.mag.diffScaler.output.stacker.output.reshaped.image.map.maximum=200.0
samer@0: ft.mag.diffScaler.batch=16
samer@0: cell.size=1
samer@0: scaler.output.trace.window.bounds=(0,461,264,278)
samer@0: function.plotter.window.bounds=(375,90,416,263)
samer@1: ft.power.image.window.bounds=(256,22,1025,37)
samer@0: sqrt.trace.window.bounds=(0,0,264,534)
samer@0: z.image.window.bounds=(479,637,268,40)
samer@0: vector.plotter.window.bounds=(498,531,302,121)
samer@0: audio.rate=22050
samer@0: waveform.image.window.bounds=(103,503,1038,58)
samer@0: midisynth.offset=32
samer@0: ZETA=0.125
samer@0: ica.rate=0.04
samer@0: matrix.plotter.window.bounds=(0,0,212,136)
samer@0: ft.mag.diffScaler.w.plotter.window.bounds=(304,298,264,120)
samer@0: stacker.output.reshaped.image.window.bounds=(303,249,264,49)
samer@0: outbuf.plotter.window.bounds=(202,728,242,141)
samer@0: mouse.exposed.bounds=(860,192,188,120)
samer@0: v2.x.image.window.bounds=(625,587,236,63)
samer@0: coder.W.image.window.bounds=(0,90,264,278)
samer@0: scaler.scale.trace.window.bounds=(0,-1,264,86)
samer@0: mog.means.image.window.bounds=(301,283,224,103)
samer@0: gtol=0.01
samer@0: mog.-log\ p(s).trace.window.bounds=(310,291,423,216)
samer@0: mog.weight.image.window.bounds=(412,259,221,103)
samer@0: ica.g.plotter.window.bounds=(360,278,264,118)
samer@0: waveform.scaler.offsetRate=3.2E-6
samer@0: jelly.bounds=(369,132,270,294)
samer@0: waveform.plotter.map.symmetric=true
samer@0: e.plotter.window.bounds=(34,408,520,118)
samer@0: mog.sigmas.editor.plotter.map.symmetric=false
samer@0: lineout.scale.bounds=(307,0,199,57)
samer@0: mog.sigmas.learn.rate=2.0E-4
samer@0: normaliser.level=693.855
samer@0: E.trace.window.bounds=(0,371,264,86)
samer@0: mog.means.learn.rate=0.001
samer@0: filter.waveform.scaler.batch=16
samer@0: matrix.plotter.rowcolumn.image.window.bounds=(318,43,268,40)
samer@0: joint.histogram.map.maximum=10000.0
samer@0: stacker.output.reshaped.image.map.maximum=100.0
samer@0: Image\ Viewer.bounds=(759,485,243,264)
samer@0: ica.C.rowcolumn.plotter.window.bounds=(521,856,525,118)
samer@0: energy.trace.window.bounds=(575,749,584,178)
samer@0: spectrum.editor.plotter.window.bounds=(282,31,583,169)
samer@0: ica.W.file=wave-256-ica
samer@0: matrix.rowcolumn.image.window.bounds=(417,470,266,55)
samer@0: GEPS=0.001
samer@0: x.histogram.bins.image.window.bounds=(693,378,146,115)
samer@1: ft.power.diffScaler.output.plotter.window.bounds=(320,440,520,120)
samer@0: sqrt.image.window.bounds=(250,621,520,49)
samer@0: ica.W.image.window.bounds=(780,524,264,278)
samer@0: writer.enable=false
samer@0: ica.L.trace.map.maximum=2000.0
samer@0: audio.buffer=8192
samer@0: buffer(oscillator).plotter.window.bounds=(303,0,520,120)
samer@0: filter.waveform.scaler.offsetRate=3.2E-6
samer@0: ica.G.plotter.window.bounds=(318,173,264,118)
samer@0: lineout.scale=1.0
samer@0: Tasks.bounds=(19,571,206,152)
samer@0: vector.editor.window.bounds=(497,165,268,87)
samer@0: stacker.target.reshaped.image.map.maximum=5.0
samer@0: FIR.coefficients.plotter.window.bounds=(397,315,475,142)
samer@0: mog.state.image.window.bounds=(470,885,419,91)
samer@0: signal.map.maximum=1.0
samer@0: spectrum.editor.image.window.bounds=(126,215,823,135)
samer@1: filessink.scale.bounds=(280,23,201,57)
samer@0: ica.learn.G.image.window.bounds=(916,91,264,278)
samer@0: scaler.scaleRate=-0.010
samer@0: subrate.factor=1
samer@0: mog.-log\ p(s).image.window.bounds=(0,0,146,39)
samer@0: spectrum.histogram.bins.rowcolumn.plotter.window.bounds=(948,487,208,122)
samer@0: ft.mag.diffScaler.stretch=0.001
samer@0: logprior.derivative.plotter.window.bounds=(0,0,254,158)
samer@0: E(x).trace.window.bounds=(891,246,264,86)
samer@0: test.spam=true
samer@0: sig.trace.window.bounds=(85,678,434,95)
samer@0: mixture.gauss2.mean=0.2
samer@0: waveform.scaler.scaleRate=0.01
samer@0: scaler.offset.trace.window.bounds=(360,196,264,86)
samer@0: energy.plotter.window.bounds=(0,0,206,134)
samer@0: matrix.image.window.bounds=(420,169,268,292)
samer@0: normaliser.signal.image.window.bounds=(505,350,513,51)
samer@0: output.plotter.window.bounds=(352,166,520,120)
samer@0: signal.trace.map.maximum=1.0
samer@0: playlist.files='("/Users/samer/Music/Bach/inv2part.wav" "/Users/samer/Music/Bach/inv3part.wav")
samer@0: mixture.gauss1.variance=0.1
samer@0: matrix.rowcolumn.editor.image.window.bounds=(394,259,409,95)
samer@0: mog.means.editor.window.bounds=(304,433,505,113)
samer@0: E.trace.map.maximum=1280.0
samer@0: ft-magnitude.trace.window.bounds=(4,22,256,534)
samer@0: ica.L.trace.window.bounds=(876,336,264,86)
samer@0: normaliser.level.trace.map.maximum=6399.999
samer@0: histogram.likelihood.trace.window.bounds=(891,336,264,278)
samer@0: regulated=true
samer@0: mog.p(s|x).image.window.bounds=(189,455,146,212)
samer@0: ica.learn.rate=0.012
samer@0: normaliser.level.trace.window.bounds=(891,85,266,67)
samer@0: y.image.window.bounds=(562,306,180,71)
samer@0: playlist.current=/mnt/sauce/music/Bach/wav/inv3part.wav
samer@0: w1.color.bounds=(365,495,381,382)
samer@0: mog.means.plotter.window.bounds=(0,0,214,138)
samer@0: filter.residual.histogram.bins.image.window.bounds=(690,367,166,130)
samer@0: directory=/mnt/sauce/music/Bach/wav
samer@0: mog.p.editor.image.window.bounds=(0,0,297,100)
samer@0: size=1024
samer@0: linebuf.plotter.window.bounds=(39,125,798,142)
samer@0: coder.learn.deltas.image.window.bounds=(264,90,264,278)
samer@0: bits.image.window.bounds=(248,688,117,49)
samer@0: v1.e.image.window.bounds=(0,0,146,47)
samer@0: scaleNormaliser.scale.plotter.window.bounds=(0,0,264,118)
samer@0: pdf.plotter.window.bounds=(591,692,254,158)
samer@0: mog.sigmas.editor.window.bounds=(304,304,503,129)
samer@0: trace.scrollStep=1
samer@0: buffer(filter(wavetable)).plotter.window.bounds=(4,22,520,120)
samer@0: x^2.plotter.window.bounds=(0,0,418,134)
samer@0: mouse.y.trace.window.bounds=(536,252,260,164)
samer@0: midiin.image.window.bounds=(444,540,270,58)
samer@0: histogram.bins.rowcolumn.plotter.window.bounds=(891,618,208,122)
samer@0: logprior.strength=0.0
samer@0: audio.exposed.bounds=(980,190,229,372)
samer@0: ica.s.plotter.window.bounds=(151,296,264,118)
samer@8: exposed.bounds=(4,23,261,565)
samer@0: noise=(Gaussian.)
samer@0: audio.offset=-507.6
samer@0: step=384
samer@0: sig.trace.map.minimum=0.002
samer@0: e(x).plotter.window.bounds=(360,644,264,118)
samer@0: table.editor.plotter.window.bounds=(237,265,423,246)
samer@0: directory.bounds=(698,81,443,295)
samer@0: normaliser.signal.trace.window.bounds=(891,336,264,278)
samer@0: mog.likelihood.map.minimum=-0.0
samer@0: Desktop.bounds=(206,3,1014,862)
samer@0: buffer(Product(filter(filter(wavetable)),Gaussian)).plotter.window.bounds=(403,470,264,120)
samer@0: stacker.target.reshaped.image.window.bounds=(460,564,308,64)
samer@0: v2.e.image.window.bounds=(0,0,146,39)
samer@0: spectrum.image.window.bounds=(504,404,517,46)
samer@0: coder.C.image.window.bounds=(264,90,264,278)
samer@0: canvas.bounds=(0,0,630,520)
samer@0: function.plotter.y.map.minimum=-0.099
samer@0: filter.playlist.current=/home/music/wav/22kmono/bach/sonata2/grave.wav
samer@0: waveform.scaler.scale=0.011
samer@0: map.symmetric=true
samer@0: stacker.output.image.window.bounds=(0,688,1280,49)
samer@0: vector.trace.window.bounds=(717,546,339,176)
samer@0: mog.weights.plotter.window.bounds=(641,632,214,138)
samer@0: x.trace.window.bounds=(570,433,270,111)
samer@0: mogpdf.plotter.window.bounds=(661,822,254,95)
samer@0: coeffs.editor.plotter.map.maximum=2.0
samer@0: smoothness=5.0
samer@0: ica.<phi(s)s'>.plotter.window.bounds=(0,0,264,118)
samer@0: Plotter.bounds=(356,62,408,395)
samer@0: filter.ft.mag.diffScaler.w.plotter.window.bounds=(437,433,264,120)
samer@0: tasklist.bounds=(887,0,245,185)
samer@0: trace.bounds=(10,821,290,99)
samer@0: vector.histogram.bins.image.window.bounds=(325,41,144,292)
samer@0: spectrum.histogram.likelihood.trace.window.bounds=(273,283,173,534)
samer@0: mixture.p=0.5
samer@0: waveform.plotter.map.maximum=36000.0
samer@0: russian.vodka.jelly=snoozy
samer@0: spectrum.trace.map.minimum=3.2E-5
samer@8: scaleNormaliser.scale.editor.plotter.window.bounds=(282,629,264,118)
samer@8: coder.learn.rate=0.16
samer@5: mat.image.window.bounds=(0,0,264,278)
samer@0: e.trace.window.bounds=(0,89,264,278)
samer@0: normaliser.mean=-444.473
samer@0: vector.editor.button1=0.1
samer@8: test.file=test3.silk
samer@5: scaler.E.trace.window.bounds=(360,376,264,86)
samer@0: p=1.0E-5
samer@0: ica.C.image.window.bounds=(516,524,264,278)
samer@0: scaler.output.plotter.window.bounds=(627,566,264,75)
samer@8: v1.B.editor.window.bounds=(0,0,187,201)
samer@5: wavewriter.scale.bounds=(305,57,199,57)
samer@0: midisynth.factor=120.0
samer@8: v1.B.image.window.bounds=(0,0,146,54)
samer@5: factor=58
samer@0: ft.mag.diffScaler.output.stacker.output.reshaped.image.window.bounds=(303,249,264,49)
samer@0: image.height=16
samer@0: ica.learn.G.rowcolumn.plotter.window.bounds=(166,816,937,118)
samer@0: matrix.plotter.rowcolumn.plotter.window.bounds=(5,159,212,136)
samer@0: histogram.likelihood.plotter.window.bounds=(891,383,264,100)
samer@8: VState.Optimiser.bounds=(0,0,287,592)
samer@5: matrix.rowcolumn.plotter.window.bounds=(0,0,212,136)
samer@0: scaler.NlogK.trace.window.bounds=(0,551,264,86)
samer@8: joint.histogram.bins.image.window.bounds=(701,314,163,193)
samer@5: w1.scale=0.01
samer@0: ft.mag.diffScaler.output.stacker.output.reshaped.image.map.minimum=1.0
samer@0: spectrum.trace.window.bounds=(284,206,256,294)
samer@8: normaliser.rate=0.004
samer@5: jelly=wobbly
samer@0: vector.reshaped.image.window.bounds=(0,0,146,294)
samer@8: mog.weights.editor.plotter.window.bounds=(300,492,225,127)
samer@5: mog.-log\ p(s).plotter.window.bounds=(469,627,427,129)
samer@0: generator=(oscillator "osc1" 0.1)
samer@0: stacker.output.reshaped.image.map.symmetric=false
samer@0: waveform.plotter.window.bounds=(364,356,512,118)
samer@8: scaler.scale=4715.263
samer@8: mog.sigmas.editor.plotter.window.bounds=(300,196,224,117)
samer@5: scaler.offsetRate=3.200E-6
samer@0: filter.mean.plotter.window.bounds=(637,652,214,138)
samer@0: regulator.target=46.733
samer@0: source=line
samer@0: matrix.rowcolumn.editor.plotter.window.bounds=(613,573,367,148)
samer@1: ft.power.diffScaler.output.trace.window.bounds=(301,22,272,778)
samer@0: coder.sigma=0.001
samer@0: trace.map.symmetric=false
samer@0: coeffs.editor.plotter.window.bounds=(283,22,584,177)
samer@0: ft.mag.diffScaler.scale=0.01
samer@0: ica.s.trace.window.bounds=(0,89,264,278)
samer@0: filter.waveform.scaler.scaleRate=0.01
samer@0: infile=/mnt/sauce/music/projwav/beethoven/piano/fm-1.wav
samer@0: ica.e(x).trace.window.bounds=(876,54,264,278)
samer@0: histogram.bins.image.window.bounds=(162,599,86,278)
samer@8: function.plotter.x.map.maximum=4.0
samer@5: vector.image.window.bounds=(113,544,404,72)
samer@8: ica.log\ |W|=-580.779
samer@5: x.image.window.bounds=(373,381,265,83)
samer@0: ica.W.rowcolumn.image.window.bounds=(248,190,264,49)
samer@0: spectrum.plotter.window.bounds=(76,580,813,116)
samer@0: ica.G.image.window.bounds=(283,0,264,278)
samer@0: vector.editor.image.window.bounds=(371,114,292,102)
samer@8: histogram.sumL.trace.window.bounds=(891,156,264,86)
samer@5: spectrum.histogram.bins.image.window.bounds=(451,284,104,534)
samer@8: test.color=\#465f90
samer@5: out.trace.window.bounds=(13,401,1036,292)
samer@0: mog.sigmas.rowcolumn.editor.plotter.window.bounds=(623,452,236,138)
samer@8: w1.color=\#817a9b
samer@5: ica.e(x).plotter.window.bounds=(333,471,264,118)
samer@0: spectrum.histogram.sumL.trace.window.bounds=(297,845,272,83)
samer@0: histogram.bins=96