comparison examples/08-PureData/karplusStrong/gate-xfer.pd @ 531:ddb86944e138 prerelease

cleaned up all pd examples (and removed some). added polysynth and vangelisiser to instruments examples
author chnrx <chris.heinrichs@gmail.com>
date Thu, 23 Jun 2016 20:40:05 +0100
parents
children
comparison
equal deleted inserted replaced
525:1ca196e35105 531:ddb86944e138
1 #N canvas 0 22 470 353 10;
2 #N canvas 0 22 450 278 (subpatch) 0;
3 #X array \$0-xfer 1024 float 3;
4 #A 0 0 -0.998047 -0.994148 -0.990257 -0.986374 -0.982498 -0.97863 -0.97477
5 -0.970917 -0.967072 -0.963234 -0.959404 -0.955582 -0.951767 -0.94796
6 -0.94416 -0.940369 -0.936584 -0.932808 -0.929039 -0.925278 -0.921524
7 -0.917778 -0.91404 -0.910309 -0.906586 -0.90287 -0.899162 -0.895462
8 -0.891769 -0.888084 -0.884407 -0.880737 -0.877075 -0.873421 -0.869774
9 -0.866135 -0.862503 -0.858879 -0.855263 -0.851654 -0.848053 -0.84446
10 -0.840874 -0.837296 -0.833725 -0.830162 -0.826607 -0.823059 -0.819519
11 -0.815987 -0.812462 -0.808945 -0.805435 -0.801933 -0.798439 -0.794952
12 -0.791473 -0.788002 -0.784538 -0.781082 -0.777634 -0.774193 -0.77076
13 -0.767334 -0.763916 -0.760506 -0.757103 -0.753708 -0.75032 -0.746941
14 -0.743568 -0.740204 -0.736847 -0.733498 -0.730156 -0.726822 -0.723495
15 -0.720177 -0.716866 -0.713562 -0.710266 -0.706978 -0.703697 -0.700424
16 -0.697159 -0.693901 -0.690651 -0.687408 -0.684174 -0.680946 -0.677727
17 -0.674515 -0.67131 -0.668114 -0.664925 -0.661743 -0.658569 -0.655403
18 -0.652245 -0.649094 -0.64595 -0.642815 -0.639687 -0.636566 -0.633453
19 -0.630348 -0.627251 -0.624161 -0.621078 -0.618004 -0.614937 -0.611877
20 -0.608826 -0.605782 -0.602745 -0.599716 -0.596695 -0.593681 -0.590675
21 -0.587677 -0.584686 -0.581703 -0.578728 -0.57576 -0.5728 -0.569847
22 -0.566902 -0.563965 -0.561035 -0.558113 -0.555199 -0.552292 -0.549393
23 -0.546501 -0.543617 -0.540741 -0.537872 -0.535011 -0.532158 -0.529312
24 -0.526474 -0.523643 -0.520821 -0.518005 -0.515198 -0.512398 -0.509605
25 -0.506821 -0.504044 -0.501274 -0.498512 -0.495758 -0.493011 -0.490273
26 -0.487541 -0.484818 -0.482101 -0.479393 -0.476692 -0.473999 -0.471313
27 -0.468636 -0.465965 -0.463303 -0.460648 -0.458 -0.45536 -0.452728 -0.450104
28 -0.447487 -0.444878 -0.442276 -0.439682 -0.437096 -0.434517 -0.431946
29 -0.429382 -0.426826 -0.424278 -0.421738 -0.419205 -0.416679 -0.414162
30 -0.411652 -0.409149 -0.406654 -0.404167 -0.401688 -0.399216 -0.396751
31 -0.394295 -0.391846 -0.389404 -0.386971 -0.384544 -0.382126 -0.379715
32 -0.377312 -0.374916 -0.372528 -0.370148 -0.367775 -0.36541 -0.363052
33 -0.360703 -0.35836 -0.356026 -0.353699 -0.351379 -0.349068 -0.346764
34 -0.344467 -0.342178 -0.339897 -0.337624 -0.335358 -0.333099 -0.330849
35 -0.328606 -0.32637 -0.324142 -0.321922 -0.31971 -0.317505 -0.315308
36 -0.313118 -0.310936 -0.308762 -0.306595 -0.304436 -0.302284 -0.30014
37 -0.298004 -0.295876 -0.293755 -0.291641 -0.289536 -0.287437 -0.285347
38 -0.283264 -0.281189 -0.279121 -0.277061 -0.275009 -0.272964 -0.270927
39 -0.268898 -0.266876 -0.264862 -0.262856 -0.260857 -0.258865 -0.256882
40 -0.254906 -0.252937 -0.250977 -0.249023 -0.247078 -0.24514 -0.24321
41 -0.241287 -0.239372 -0.237465 -0.235565 -0.233673 -0.231789 -0.229912
42 -0.228043 -0.226181 -0.224327 -0.222481 -0.220642 -0.218811 -0.216988
43 -0.215172 -0.213364 -0.211563 -0.20977 -0.207985 -0.206207 -0.204437
44 -0.202675 -0.20092 -0.199173 -0.197433 -0.195702 -0.193977 -0.192261
45 -0.190552 -0.18885 -0.187157 -0.185471 -0.183792 -0.182121 -0.180458
46 -0.178802 -0.177155 -0.175514 -0.173882 -0.172256 -0.170639 -0.169029
47 -0.167427 -0.165833 -0.164246 -0.162666 -0.161095 -0.159531 -0.157974
48 -0.156425 -0.154884 -0.153351 -0.151825 -0.150307 -0.148796 -0.147293
49 -0.145798 -0.14431 -0.14283 -0.141357 -0.139893 -0.138435 -0.136986
50 -0.135544 -0.134109 -0.132683 -0.131264 -0.129852 -0.128448 -0.127052
51 -0.125664 -0.124283 -0.12291 -0.121544 -0.120186 -0.118835 -0.117493
52 -0.116158 -0.11483 -0.11351 -0.112198 -0.110893 -0.109596 -0.108307
53 -0.107025 -0.105751 -0.104485 -0.103226 -0.101974 -0.100731 -0.0994949
54 -0.0982666 -0.0970459 -0.0958328 -0.0946274 -0.0934296 -0.0922394 -0.0910568
55 -0.0898819 -0.0887146 -0.0875549 -0.0864029 -0.0852585 -0.0841217 -0.0829926
56 -0.081871 -0.0807571 -0.0796509 -0.0785522 -0.0774612 -0.0763779 -0.0753021
57 -0.074234 -0.0731735 -0.0721207 -0.0710754 -0.0700378 -0.0690079 -0.0679855
58 -0.0669708 -0.0659637 -0.0649643 -0.0639725 -0.0629883 -0.0620117 -0.0610428
59 -0.0600815 -0.0591278 -0.0581818 -0.0572433 -0.0563126 -0.0553894 -0.0544739
60 -0.053566 -0.0526657 -0.0517731 -0.0508881 -0.0500107 -0.0491409 -0.0482788
61 -0.0474243 -0.0465775 -0.0457382 -0.0449066 -0.0440826 -0.0432663 -0.0424576
62 -0.0416565 -0.040863 -0.0400772 -0.039299 -0.0385284 -0.0377655 -0.0370102
63 -0.0362625 -0.0355225 -0.03479 -0.0340652 -0.0333481 -0.0326385 -0.0319366
64 -0.0312424 -0.0305557 -0.0298767 -0.0292053 -0.0285416 -0.0278854 -0.0272369
65 -0.0265961 -0.0259628 -0.0253372 -0.0247192 -0.0241089 -0.0235062 -0.0229111
66 -0.0223236 -0.0217438 -0.0211716 -0.020607 -0.02005 -0.0195007 -0.018959
67 -0.018425 -0.0178986 -0.0173798 -0.0168686 -0.0163651 -0.0158691 -0.0153809
68 -0.0149002 -0.0144272 -0.0139618 -0.013504 -0.0130539 -0.0126114 -0.0121765
69 -0.0117493 -0.0113297 -0.0109177 -0.0105133 -0.0101166 -0.00972748
70 -0.00934601 -0.00897217 -0.00860596 -0.00824738 -0.00789642 -0.0075531
71 -0.00721741 -0.00688934 -0.00656891 -0.0062561 -0.00595093 -0.00565338
72 -0.00536346 -0.00508118 -0.00480652 -0.00453949 -0.00428009 -0.00402832
73 -0.00378418 -0.00354767 -0.00331879 -0.00309753 -0.00288391 -0.00267792
74 -0.00247955 -0.00228882 -0.00210571 -0.00193024 -0.00176239 -0.00160217
75 -0.00144958 -0.00130463 -0.0011673 -0.0010376 -0.000915527 -0.000801086
76 -0.000694275 -0.000595093 -0.00050354 -0.000419617 -0.000343323 -0.000274658
77 -0.000213623 -0.000160217 -0.000114441 -7.62939e-05 -4.57764e-05 -2.28882e-05
78 -7.62939e-06 0 0 7.62939e-06 2.28882e-05 4.57764e-05 7.62939e-05 0.000114441
79 0.000160217 0.000213623 0.000274658 0.000343323 0.000419617 0.00050354
80 0.000595093 0.000694275 0.000801086 0.000915527 0.0010376 0.0011673
81 0.00130463 0.00144958 0.00160217 0.00176239 0.00193024 0.00210571 0.00228882
82 0.00247955 0.00267792 0.00288391 0.00309753 0.00331879 0.00354767 0.00378418
83 0.00402832 0.00428009 0.00453949 0.00480652 0.00508118 0.00536346 0.00565338
84 0.00595093 0.0062561 0.00656891 0.00688934 0.00721741 0.0075531 0.00789642
85 0.00824738 0.00860596 0.00897217 0.00934601 0.00972748 0.0101166 0.0105133
86 0.0109177 0.0113297 0.0117493 0.0121765 0.0126114 0.0130539 0.013504
87 0.0139618 0.0144272 0.0149002 0.0153809 0.0158691 0.0163651 0.0168686
88 0.0173798 0.0178986 0.018425 0.018959 0.0195007 0.02005 0.020607 0.0211716
89 0.0217438 0.0223236 0.0229111 0.0235062 0.0241089 0.0247192 0.0253372
90 0.0259628 0.0265961 0.0272369 0.0278854 0.0285416 0.0292053 0.0298767
91 0.0305557 0.0312424 0.0319366 0.0326385 0.0333481 0.0340652 0.03479
92 0.0355225 0.0362625 0.0370102 0.0377655 0.0385284 0.039299 0.0400772
93 0.040863 0.0416565 0.0424576 0.0432663 0.0440826 0.0449066 0.0457382
94 0.0465775 0.0474243 0.0482788 0.0491409 0.0500107 0.0508881 0.0517731
95 0.0526657 0.053566 0.0544739 0.0553894 0.0563126 0.0572433 0.0581818
96 0.0591278 0.0600815 0.0610428 0.0620117 0.0629883 0.0639725 0.0649643
97 0.0659637 0.0669708 0.0679855 0.0690079 0.0700378 0.0710754 0.0721207
98 0.0731735 0.074234 0.0753021 0.0763779 0.0774612 0.0785522 0.0796509
99 0.0807571 0.081871 0.0829926 0.0841217 0.0852585 0.0864029 0.0875549
100 0.0887146 0.0898819 0.0910568 0.0922394 0.0934296 0.0946274 0.0958328
101 0.0970459 0.0982666 0.0994949 0.100731 0.101974 0.103226 0.104485 0.105751
102 0.107025 0.108307 0.109596 0.110893 0.112198 0.11351 0.11483 0.116158
103 0.117493 0.118835 0.120186 0.121544 0.12291 0.124283 0.125664 0.127052
104 0.128448 0.129852 0.131264 0.132683 0.134109 0.135544 0.136986 0.138435
105 0.139893 0.141357 0.14283 0.14431 0.145798 0.147293 0.148796 0.150307
106 0.151825 0.153351 0.154884 0.156425 0.157974 0.159531 0.161095 0.162666
107 0.164246 0.165833 0.167427 0.169029 0.170639 0.172256 0.173882 0.175514
108 0.177155 0.178802 0.180458 0.182121 0.183792 0.185471 0.187157 0.18885
109 0.190552 0.192261 0.193977 0.195702 0.197433 0.199173 0.20092 0.202675
110 0.204437 0.206207 0.207985 0.20977 0.211563 0.213364 0.215172 0.216988
111 0.218811 0.220642 0.222481 0.224327 0.226181 0.228043 0.229912 0.231789
112 0.233673 0.235565 0.237465 0.239372 0.241287 0.24321 0.24514 0.247078
113 0.249023 0.250977 0.252937 0.254906 0.256882 0.258865 0.260857 0.262856
114 0.264862 0.266876 0.268898 0.270927 0.272964 0.275009 0.277061 0.279121
115 0.281189 0.283264 0.285347 0.287437 0.289536 0.291641 0.293755 0.295876
116 0.298004 0.30014 0.302284 0.304436 0.306595 0.308762 0.310936 0.313118
117 0.315308 0.317505 0.31971 0.321922 0.324142 0.32637 0.328606 0.330849
118 0.333099 0.335358 0.337624 0.339897 0.342178 0.344467 0.346764 0.349068
119 0.351379 0.353699 0.356026 0.35836 0.360703 0.363052 0.36541 0.367775
120 0.370148 0.372528 0.374916 0.377312 0.379715 0.382126 0.384544 0.386971
121 0.389404 0.391846 0.394295 0.396751 0.399216 0.401688 0.404167 0.406654
122 0.409149 0.411652 0.414162 0.416679 0.419205 0.421738 0.424278 0.426826
123 0.429382 0.431946 0.434517 0.437096 0.439682 0.442276 0.444878 0.447487
124 0.450104 0.452728 0.45536 0.458 0.460648 0.463303 0.465965 0.468636
125 0.471313 0.473999 0.476692 0.479393 0.482101 0.484818 0.487541 0.490273
126 0.493011 0.495758 0.498512 0.501274 0.504044 0.506821 0.509605 0.512398
127 0.515198 0.518005 0.520821 0.523643 0.526474 0.529312 0.532158 0.535011
128 0.537872 0.540741 0.543617 0.546501 0.549393 0.552292 0.555199 0.558113
129 0.561035 0.563965 0.566902 0.569847 0.5728 0.57576 0.578728 0.581703
130 0.584686 0.587677 0.590675 0.593681 0.596695 0.599716 0.602745 0.605782
131 0.608826 0.611877 0.614937 0.618004 0.621078 0.624161 0.627251 0.630348
132 0.633453 0.636566 0.639687 0.642815 0.64595 0.649094 0.652245 0.655403
133 0.658569 0.661743 0.664925 0.668114 0.67131 0.674515 0.677727 0.680946
134 0.684174 0.687408 0.690651 0.693901 0.697159 0.700424 0.703697 0.706978
135 0.710266 0.713562 0.716866 0.720177 0.723495 0.726822 0.730156 0.733498
136 0.736847 0.740204 0.743568 0.746941 0.75032 0.753708 0.757103 0.760506
137 0.763916 0.767334 0.77076 0.774193 0.777634 0.781082 0.784538 0.788002
138 0.791473 0.794952 0.798439 0.801933 0.805435 0.808945 0.812462 0.815987
139 0.819519 0.823059 0.826607 0.830162 0.833725 0.837296 0.840874 0.84446
140 0.848053 0.851654 0.855263 0.858879 0.862503 0.866135 0.869774 0.873421
141 0.877075 0.880737 0.884407 0.888084 0.891769 0.895462 0.899162 0.90287
142 ;
143 #A 1000 0.906586 0.910309 0.91404 0.917778 0.921524 0.925278 0.929039
144 0.932808 0.936584 0.940369 0.94416 0.94796 0.951767 0.955582 0.959404
145 0.963234 0.967072 0.970917 0.97477 0.97863 0.982498 0.986374 0.990257
146 0.994148;
147 #X coords 0 1 1023 -1 200 200 1 0 0;
148 #X restore 230 114 graph;
149 #X obj 25 107 inlet~;
150 #X obj 25 129 clip~ -1 1;
151 #X obj 25 151 *~ 512;
152 #X obj 25 173 +~ 512;
153 #X obj 25 195 tabread4~ \$0-xfer;
154 #X obj 25 217 outlet~;
155 #N canvas 0 22 334 332 generate-xfer 0;
156 #X obj 8 290 tabwrite \$0-xfer;
157 #X obj 8 109 / 1024;
158 #X obj 8 129 * 2;
159 #X obj 8 149 - 1;
160 #X obj 8 169 moses 0;
161 #X obj 8 191 + 0.1;
162 #X obj 8 213 clip -1 0;
163 #X obj 68 191 - 0.1;
164 #X obj 68 213 clip 0 1;
165 #X obj 101 16 inlet threshold;
166 #X obj 101 78 count 1024;
167 #X obj 128 58 s \$0-thresh;
168 #X obj 95 169 r \$0-thresh;
169 #X obj 101 38 t b f;
170 #X obj 68 236 *;
171 #X obj 8 236 *;
172 #X obj 8 258 * -1;
173 #X text 140 203 <<< deadzone;
174 #X text 140 253 <<< smooth by taking exponent;
175 #X connect 1 0 2 0;
176 #X connect 2 0 3 0;
177 #X connect 3 0 4 0;
178 #X connect 4 0 5 0;
179 #X connect 4 1 7 0;
180 #X connect 5 0 6 0;
181 #X connect 6 0 15 0;
182 #X connect 6 0 15 1;
183 #X connect 7 0 8 0;
184 #X connect 8 0 14 0;
185 #X connect 8 0 14 1;
186 #X connect 9 0 13 0;
187 #X connect 10 0 0 1;
188 #X connect 10 0 1 0;
189 #X connect 12 0 5 1;
190 #X connect 12 0 7 1;
191 #X connect 13 0 10 0;
192 #X connect 13 1 11 0;
193 #X connect 14 0 0 0;
194 #X connect 15 0 16 0;
195 #X connect 16 0 0 0;
196 #X restore 26 297 pd generate-xfer;
197 #X text 78 276 <<< threshold;
198 #X obj 26 253 loadbang;
199 #X obj 26 275 f \$1;
200 #X text 26 20 This abstraction feeds the input signal through a transfer
201 ;
202 #X obj 103 254 inlet;
203 #X text 26 47 set threshold;
204 #X text 26 33 function attenuating the signal at values below the;
205 #X connect 1 0 2 0;
206 #X connect 2 0 3 0;
207 #X connect 3 0 4 0;
208 #X connect 4 0 5 0;
209 #X connect 5 0 6 0;
210 #X connect 9 0 10 0;
211 #X connect 10 0 7 0;
212 #X connect 12 0 10 1;