-
deframmentazione geometrica
posted in technical issues • read moreHi guys, thank you for all suggestions.
Just a ramp with [line~] doensn't make the job because it produces glissando acting only on the next frequency.
In the F09.declickit example suggested by lacuna about the changing of the center of frequency by adding two cosine, occurs a very smooth transition, very pleasent to hear, involving both previous and next frequency.But this patch change the center of frequency of a given frequency, I need that smooth transitions to change from/to any frequencies. Any suggestions? Thank you.
-
deframmentazione geometrica
posted in technical issues • read more
Hi guys,
whether the transition between two close frequencies is so smooth, the transition between distant frequencies is so rough due to the high wavelenght difference. I'm guessing whether exist some technique that can be involved to smooth that transition.
frequency transition.pdThanks in advance,
Matteo -
deframmentazione geometrica
posted in technical issues • read more
@oid Hi, thanks for answering, these are very useful informations to know before start to design a portable solution. But this is not my case since this project is designed to run on laptop\desktop computer.
-
deframmentazione geometrica
posted in technical issues • read more
@whale-av Hi David, thanks for the suggestions.
In order to satisfy all ENT parameters, the best option is to get the varying amplitude from [env~] and using [mod] to evenly spread the values.
Here the test of a so generated 180.000 byte bin file, the results are within the normal required parameters.
Entropy is 7.999070 bits per byte. This value is the information density of the contents of the file, expressed as a number of bits per byte. So the file is essentially random.
The chi-square distribution is 84.08%. This test is the most commonly used test for the randomness of data calculated for the stream of bytes in the file and expressed as an absolute number and a percentage which indicates how frequently a truly random sequence would exceed the value calculated. If the percentages is between 10% and 90% the sequence is random.
C:\Users\Lenovo\Desktop\ENT\random>ent -c 1.bin Value Char Occurrences Fraction 0 683 0.003781 1 730 0.004041 2 731 0.004047 3 717 0.003969 4 705 0.003903 5 717 0.003969 6 720 0.003986 7 709 0.003925 8 707 0.003914 9 696 0.003853 10 703 0.003892 11 685 0.003792 12 713 0.003947 13 707 0.003914 14 674 0.003731 15 708 0.003919 16 653 0.003615 17 700 0.003875 18 699 0.003870 19 685 0.003792 20 720 0.003986 21 710 0.003930 22 733 0.004058 23 722 0.003997 24 647 0.003582 25 691 0.003825 26 656 0.003632 27 699 0.003870 28 677 0.003748 29 674 0.003731 30 696 0.003853 31 700 0.003875 32 672 0.003720 33 ! 693 0.003836 34 " 727 0.004025 35 # 744 0.004119 36 $ 769 0.004257 37 % 735 0.004069 38 & 663 0.003670 39 ' 715 0.003958 40 ( 680 0.003764 41 ) 712 0.003942 42 * 713 0.003947 43 + 692 0.003831 44 , 737 0.004080 45 - 649 0.003593 46 . 677 0.003748 47 / 728 0.004030 48 0 721 0.003991 49 1 729 0.004036 50 2 689 0.003814 51 3 724 0.004008 52 4 701 0.003881 53 5 685 0.003792 54 6 678 0.003753 55 7 671 0.003715 56 8 694 0.003842 57 9 687 0.003803 58 : 719 0.003980 59 ; 764 0.004229 60 < 736 0.004074 61 = 688 0.003809 62 > 699 0.003870 63 ? 749 0.004146 64 @ 724 0.004008 65 A 742 0.004108 66 B 660 0.003654 67 C 695 0.003847 68 D 721 0.003991 69 E 710 0.003930 70 F 677 0.003748 71 G 697 0.003859 72 H 715 0.003958 73 I 712 0.003942 74 J 692 0.003831 75 K 729 0.004036 76 L 702 0.003886 77 M 717 0.003969 78 N 702 0.003886 79 O 696 0.003853 80 P 692 0.003831 81 Q 753 0.004169 82 R 729 0.004036 83 S 726 0.004019 84 T 742 0.004108 85 U 687 0.003803 86 V 689 0.003814 87 W 652 0.003609 88 X 700 0.003875 89 Y 738 0.004085 90 Z 683 0.003781 91 [ 700 0.003875 92 \ 703 0.003892 93 ] 728 0.004030 94 ^ 735 0.004069 95 _ 711 0.003936 96 ` 724 0.004008 97 a 742 0.004108 98 b 690 0.003820 99 c 723 0.004002 100 d 705 0.003903 101 e 703 0.003892 102 f 706 0.003908 103 g 735 0.004069 104 h 693 0.003836 105 i 719 0.003980 106 j 711 0.003936 107 k 650 0.003598 108 l 724 0.004008 109 m 712 0.003942 110 n 669 0.003704 111 o 697 0.003859 112 p 729 0.004036 113 q 661 0.003659 114 r 666 0.003687 115 s 740 0.004097 116 t 742 0.004108 117 u 710 0.003930 118 v 685 0.003792 119 w 758 0.004196 120 x 669 0.003704 121 y 701 0.003881 122 z 720 0.003986 123 { 694 0.003842 124 | 725 0.004014 125 } 658 0.003643 126 ~ 699 0.003870 127 669 0.003704 128 725 0.004014 129 712 0.003942 130 755 0.004180 131 682 0.003775 132 727 0.004025 133 712 0.003942 134 732 0.004052 135 750 0.004152 136 726 0.004019 137 678 0.003753 138 695 0.003847 139 701 0.003881 140 709 0.003925 141 702 0.003886 142 710 0.003930 143 696 0.003853 144 729 0.004036 145 684 0.003787 146 702 0.003886 147 694 0.003842 148 691 0.003825 149 707 0.003914 150 739 0.004091 151 685 0.003792 152 738 0.004085 153 694 0.003842 154 687 0.003803 155 696 0.003853 156 692 0.003831 157 627 0.003471 158 715 0.003958 159 716 0.003964 160 695 0.003847 161 í 715 0.003958 162 ó 697 0.003859 163 ú 675 0.003737 164 ñ 721 0.003991 165 Ñ 724 0.004008 166 ª 681 0.003770 167 º 712 0.003942 168 ¿ 693 0.003836 169 ® 696 0.003853 170 ¬ 708 0.003919 171 ½ 692 0.003831 172 ¼ 666 0.003687 173 ¡ 694 0.003842 174 « 711 0.003936 175 » 711 0.003936 176 ░ 747 0.004135 177 ▒ 685 0.003792 178 ▓ 702 0.003886 179 │ 709 0.003925 180 ┤ 684 0.003787 181 Á 668 0.003698 182 Â 750 0.004152 183 À 683 0.003781 184 © 701 0.003881 185 ╣ 674 0.003731 186 ║ 661 0.003659 187 ╗ 696 0.003853 188 ╝ 700 0.003875 189 ¢ 720 0.003986 190 ¥ 681 0.003770 191 ┐ 742 0.004108 192 └ 681 0.003770 193 ┴ 697 0.003859 194 ┬ 757 0.004191 195 ├ 682 0.003775 196 ─ 715 0.003958 197 ┼ 711 0.003936 198 ã 706 0.003908 199 Ã 734 0.004063 200 ╚ 743 0.004113 201 ╔ 708 0.003919 202 ╩ 697 0.003859 203 ╦ 717 0.003969 204 ╠ 757 0.004191 205 ═ 690 0.003820 206 ╬ 684 0.003787 207 ¤ 718 0.003975 208 ð 662 0.003665 209 Ð 741 0.004102 210 Ê 739 0.004091 211 Ë 750 0.004152 212 È 691 0.003825 213 ı 695 0.003847 214 Í 735 0.004069 215 Î 698 0.003864 216 Ï 690 0.003820 217 ┘ 718 0.003975 218 ┌ 721 0.003991 219 █ 693 0.003836 220 ▄ 696 0.003853 221 ¦ 690 0.003820 222 Ì 716 0.003964 223 ▀ 723 0.004002 224 Ó 719 0.003980 225 ß 697 0.003859 226 Ô 732 0.004052 227 Ò 691 0.003825 228 õ 733 0.004058 229 Õ 752 0.004163 230 µ 680 0.003764 231 þ 701 0.003881 232 Þ 746 0.004130 233 Ú 729 0.004036 234 Û 702 0.003886 235 Ù 711 0.003936 236 ý 694 0.003842 237 Ý 661 0.003659 238 ¯ 741 0.004102 239 ´ 717 0.003969 240 757 0.004191 241 ± 686 0.003798 242 ‗ 754 0.004174 243 ¾ 722 0.003997 244 ¶ 722 0.003997 245 § 691 0.003825 246 ÷ 725 0.004014 247 ¸ 741 0.004102 248 ° 702 0.003886 249 ¨ 653 0.003615 250 · 695 0.003847 251 ¹ 711 0.003936 252 ³ 668 0.003698 253 ² 700 0.003875 254 ■ 687 0.003803 255 667 0.003692 Total: 180639 1.000000 Entropy = 7.999070 bits per byte. Optimum compression would reduce the size of this 180639 byte file by 0 percent. Chi square distribution for 180639 samples is 232.49, and randomly would exceed this value 84.08 percent of the times. Arithmetic mean value of data bytes is 127.6331 (127.5 = random). Monte Carlo value for Pi is 3.132000266 (error 0.31 percent). Serial correlation coefficient is -0.000969 (totally uncorrelated = 0.0).Insert Code Here -
deframmentazione geometrica
posted in technical issues • read more
Hi David, thanks for answering,
I tested the entropy of the thermal noise with ENT and I found it's rather a week entropy source.The tested file is 100.000 byte, I used [snapshot~] to convert signals into values, and [binfile] to create a 256 character bin file.
The result of entropy is 5,554712 bits per character, and optimum compression would reduce the size of this 100.000 byte file by 30 %. The file is considered to be essentially random when compression is 0%.
As well as entropy all others values are out of parametersC:\Users\Lenovo\Desktop\ENT\random>ent -c 14.bin Value Char Occurrences Fraction 0 1724 0.017240 3 3507 0.035070 7 3520 0.035200 11 3559 0.035590 15 3487 0.034870 19 3361 0.033610 23 3396 0.033960 27 3353 0.033530 31 3310 0.033100 35 # 3321 0.033210 38 & 3157 0.031570 42 * 3235 0.032350 46 . 3085 0.030850 50 2 3069 0.030690 54 6 2913 0.029130 58 : 2750 0.027500 62 > 2753 0.027530 66 B 2707 0.027070 70 F 2456 0.024560 73 I 2504 0.025040 77 M 2384 0.023840 81 Q 2326 0.023260 85 U 2181 0.021810 89 Y 2140 0.021400 93 ] 2001 0.020010 97 a 1921 0.019210 101 e 1762 0.017620 105 i 1643 0.016430 108 l 1642 0.016420 112 p 1537 0.015370 116 t 1444 0.014440 120 x 1397 0.013970 124 | 1266 0.012660 128 1188 0.011880 132 1115 0.011150 136 996 0.009960 140 984 0.009840 143 909 0.009090 147 774 0.007740 151 842 0.008420 155 769 0.007690 159 642 0.006420 163 ú 626 0.006260 167 º 567 0.005670 171 ½ 533 0.005330 175 » 508 0.005080 178 ▓ 426 0.004260 182 Â 406 0.004060 186 ║ 375 0.003750 190 ¥ 352 0.003520 194 ┬ 320 0.003200 198 ã 314 0.003140 202 ╩ 292 0.002920 206 ╬ 228 0.002280 210 Ê 212 0.002120 214 Í 201 0.002010 217 ┘ 186 0.001860 221 ¦ 157 0.001570 225 ß 123 0.001230 229 Õ 128 0.001280 233 Ú 110 0.001100 237 Ý 105 0.001050 241 ± 95 0.000950 245 § 74 0.000740 249 ¨ 79 0.000790 252 ³ 68 0.000680 255 485 0.004850 Total: 100000 1.000000 Entropy = 5.554712 bits per byte. Optimum compression would reduce the size of this 100000 byte file by 30 percent. Chi square distribution for 100000 samples is 530303.93, and randomly would exceed this value less than 0.01 percent of the times. Arithmetic mean value of data bytes is 69.9192 (127.5 = random). Monte Carlo value for Pi is 3.924156966 (error 24.91 percent). Serial correlation coefficient is 0.042567 (totally uncorrelated = 0.0).Even though ADC thermal noise is a week entropy source it's still true random as well as vhf and uhf signals. Some post-processing might be able to reshape the statistical characteristics of the data.
Thanks,
Matteo -
deframmentazione geometrica
posted in technical issues • read more
Hi guys,
I have a question about the nature of noise outputted by [adc~], even though no microphone or other input device are connected to it.
Internally, all ADC circuits produce a certain amount of rms noise which is mostly determined by three different contributors: quantization, thermal noise and clock jitter.
Since quantization and clock jitter are data converter noise and no external input has to be processed, I suppose this is solely determinated by the internal thermal noise due the physical movement of charge inside electrical conductors in the adc.
Can someone confirm or invalid this thesis?
Thanks,
Matteo -
-
deframmentazione geometrica
posted in technical issues • read more
@whale-av said:
this old thread went a very long way to solving the problems...
I hadn't seen that one. Thanks
-
deframmentazione geometrica
posted in technical issues • read more
Hi guys,
I'm trying to vocalize a whisper speech using fft convolution; starting from two distinct inputs <a sampled vocal and a whisper speech> I have seen that is possible to generate a sort of vocal/normal speech.
I wonder if is there a way to improve the quality of the convolution process so that the result will sound more similar to the input vocal timbre than it is now.
Thanks in advance.
wts.zip -
deframmentazione geometrica
posted in technical issues • read more
@whale-av [adc~] gives some noise even without microphone, that noise is enough if moltiplied in amplitude, you don't need more volume, the limiter stabilize the incoming signal whatever the mic setting in your system.
I din't realize it was for an android app, I posted here because is based on your configuration.
What does this have to do with the old thread about [seed(?
Thanks
