diff --git a/articles/Daubechies wavelet - Wikipedia/Daubechies wavelet - Wikipedia.pdf.txt b/articles/Daubechies wavelet - Wikipedia/Daubechies wavelet - Wikipedia.pdf.txt
new file mode 100644
index 0000000..c18909c
--- /dev/null
+++ b/articles/Daubechies wavelet - Wikipedia/Daubechies wavelet - Wikipedia.pdf.txt
@@ -0,0 +1 @@
+https://en.wikipedia.org/w/index.php?title=Daubechies_wavelet&oldid=1193512728
diff --git a/articles/Daubechies wavelet - Wikipedia/Daubechies wavelet - Wikipedia.xopp.xml b/articles/Daubechies wavelet - Wikipedia/Daubechies wavelet - Wikipedia.xopp.xml
new file mode 100644
index 0000000..a227438
--- /dev/null
+++ b/articles/Daubechies wavelet - Wikipedia/Daubechies wavelet - Wikipedia.xopp.xml
@@ -0,0 +1,44 @@
+
+
+ Xournal++ document - see https://github.com/xournalpp/xournalpp
+
+
+
+ 172.64824049 83.85844454 219.04610213 83.85844454
+ ?
+ ?
+ ?
+ ?
+ ?
+ ?
+ 239.00191606 80.02337539 383.70920791 80.02337539
+ 40.81922105 89.23095816 63.36417688 89.23095816
+ 78.68624742 88.75165460 387.75007254 88.75165460
+ 311.22816847 97.82036507 43.36981608 97.82036507
+ 313.84784617 130.88690745 384.44627676 130.88690745
+ 311.75502900 137.23707298 385.48496867 137.23707298
+ 401.00956180 200.48319292 466.04243259 200.48319292
+ 148.43777737 129.75364220 307.79961631 129.75364220
+ 237.89073060 138.56947049 288.03588121 138.56947049
+ 40.08387411 137.63048409 198.08614877 137.63048409
+ 59.41514707 145.12947168 197.62468576 145.12947168
+ 209.56967336 145.14474375 315.99866274 145.14474375
+ 40.75312404 145.21740256 54.33912516 145.89522362
+
+
+
+
+
+ 165.23019488 352.81533520 171.86879545 352.81533520
+ 207.35249235 339.86148777 383.99709849 339.86148777
+
+
+
+
+
+
+
+
+
+
+
diff --git a/articles/Gradient - Wikipedia/Gradient - Wikipedia.pdf.txt b/articles/Gradient - Wikipedia/Gradient - Wikipedia.pdf.txt
new file mode 100644
index 0000000..20d7ac9
--- /dev/null
+++ b/articles/Gradient - Wikipedia/Gradient - Wikipedia.pdf.txt
@@ -0,0 +1 @@
+https://en.wikipedia.org/w/index.php?title=Gradient&oldid=1206147282
diff --git a/articles/Gradient - Wikipedia/Gradient - Wikipedia.xopp.xml b/articles/Gradient - Wikipedia/Gradient - Wikipedia.xopp.xml
new file mode 100644
index 0000000..8c13dca
--- /dev/null
+++ b/articles/Gradient - Wikipedia/Gradient - Wikipedia.xopp.xml
@@ -0,0 +1,56 @@
+
+
+ Xournal++ document - see https://github.com/xournalpp/xournalpp
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
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diff --git a/articles/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation.xopp.xml b/articles/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation.xopp.xml
index eabb0b9..519ce53 100644
--- a/articles/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation.xopp.xml
+++ b/articles/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation.xopp.xml
@@ -157,6 +157,8 @@ why face noise and strong enough to be visible?
315.27665980 693.20429626 403.73010304 693.20429626
395.68440216 724.37852029 553.24403230 724.37852029
344.38527255 735.14444484 561.98764426 735.14444484
+ 105.94606163 313.10599570 109.57916489 316.18986176
+ 109.38128549 316.08004360 115.80024582 304.96207818
@@ -577,6 +579,110 @@ unsure why a white Gaussian
315.29164619 160.49892605 558.25665019 160.49892605
316.52765882 171.36593027 376.86558928 171.36593027
?
+ 566.77892269 161.75420100 569.07709368 165.08376688
+ 569.07709368 164.86190837 572.76243593 156.29821112
+ 512.34556881 170.91427543 558.29006497 170.91427543
+ 314.70503417 183.66784106 366.34488515 183.66784106
+ 447.35489181 182.87952759 561.59543788 182.87952759
+ 316.49168511 194.46686748 387.06423329 194.46686748
+ 404.56353712 205.91181413 481.35054688 205.91181413
+ 344.20710013 217.96204401 391.51660804 217.96204401
+ 427.05687922 219.16342878 564.01235703 219.16342878
+ 316.09389361 230.07280737 337.91039406 230.07280737
+ 366.27946403 229.94147347 407.42768521 229.94147347
+ 440.23784850 230.61008085 561.28336583 230.61008085
+ 316.21416818 242.55945028 351.89147695 241.08619882
+ DC: dark current it seems
+ seems correct
+ 411.24616565 241.98231497 558.98526951 241.98231497
+ 315.76755712 252.01905696 562.31230866 252.01905696
+ 316.49685303 266.77258776 560.38557076 266.77258776
+ 315.27653646 277.52300134 351.25923445 279.14545046
+ 422.96041226 275.91057798 508.92439100 275.91057798
+ 517.73298048 280.07250518 560.87384358 280.07250518
+ 314.11782142 292.49768438 367.02370271 292.49768438
+ 314.10111184 301.05395706 437.16061445 301.05395706
+ 373.95491759 309.98576476 513.35272538 309.98576476
+ zero-mean because sometimes too many electrons, sometimes
+not enough
+
+ 438.41143908 329.62436886 445.45967526 329.62436886
+ 342.77820659 323.65494680 343.93106466 325.85680511
+ 375.84540913 323.95601219 427.93247419 323.95601219
+ 437.59149797 323.09119637 438.81109103 326.25356303
+ 537.48443458 324.63657468 562.48603923 324.63657468
+ 312.18312699 335.55814954 332.15536137 335.55814954
+ 365.73293998 334.51006229 404.51895525 336.15304525
+ 444.54788809 335.99591429 512.91923804 335.99591429
+ 443.45466774 359.93626404 562.41656273 359.93626404
+ 315.56507828 371.62749621 413.91176218 371.62749621
+ 419.52950360 368.19496827 422.65777926 370.82698646
+ 422.65777926 370.82698646 426.61815785 364.57460392
+ 541.92608369 335.00197872 561.35840192 332.79012911
+ 313.59693023 348.65922288 555.05375615 348.65922288
+ 315.27529616 359.99848571 389.45402178 359.99848571
+ 392.58266064 287.24148602 482.46420302 287.24148602
+ 489.37367794 292.76035218 545.46521075 292.76035218
+ 448.36094670 328.87610671 509.19273918 328.87610671
+ we take into account
+all kinds of noises
+but are there all listed
+and considered here?
+ Analog-to-Digital Converter
+ 392.38149100 304.85907430 305.94135591 277.24019591
+ why?
+ 334.95371041 428.88280631 563.10993066 428.88280631
+ 314.43161711 441.94470686 345.15892638 440.47808756
+ 325.78455768 399.78997017 546.44201414 399.78997017
+ 525.57211908 417.70175052 541.10027483 417.70175052
+
+
+
+
+ 409.20315176 406.04808047 433.37581712 412.52512663
+ 433.23918485 413.01507342 458.71554980 408.00806322
+ 433.44131916 412.97531494 348.21071692 421.14273661
+ why absolute?
+ 392.32423052 441.89519826 434.00749681 441.89519826
+ 469.86277298 442.50537376 563.88633217 442.50537376
+ 369.30128067 454.55804978 561.63803995 454.55804978
+ 314.95960557 467.09545883 357.23897146 467.09545883
+ 393.95460377 466.02580416 539.09559946 466.02580416
+ 314.06118109 478.03002238 477.90846746 478.03002238
+ 401.30409982 488.90208864 474.25615178 488.90208864
+
+ otherwise correct
+ otherwise correct
+ 371.89426389 500.32371078 555.95491422 500.32371078
+ 315.83770293 512.65681499 527.17118216 512.65681499
+ 316.22233348 524.81501980 463.20653527 524.81501980
+ 525.65218728 524.04413942 561.60543491 524.04413942
+ 314.97758991 535.82687810 344.78414246 535.82687810
+ to check after above
+ 458.27789646 535.94739384 563.62297231 535.94739384
+ 315.87063976 549.01484129 562.77609428 549.01484129
+ 372.01229902 555.64403360 371.51586928 558.76924296
+ 407.31672563 558.78941505 526.84672284 558.78941505
+ 556.35345027 560.19329589 564.65814893 559.26520759
+ 316.60613716 571.31362869 558.49224449 571.31362869
+ 454.68974544 584.19208556 557.05023763 584.19208556
+ 316.75597219 596.43919570 355.88222483 596.43919570
+ 328.45564529 627.56751780 569.17541861 627.56751780
+ 313.58866157 639.15756223 379.99348121 639.15756223
+ 418.23635392 642.83074266 561.01663257 642.83074266
+ 315.79329333 656.40362924 503.22847887 656.40362924
+ 385.27481797 697.40216595 561.45755205 697.40216595
+ 315.22523631 710.27252642 560.69244594 710.27252642
+ 314.57028945 723.69326964 373.35500533 723.69326964
+ 419.06945597 723.79785098 555.94213665 723.79785098
+ 312.91183720 734.30056648 445.63594705 734.30056648
+ 471.15082366 735.30524325 547.59591431 735.30524325
+ i.e. D8
+ 481.66235907 694.22884332 498.80405145 693.54845309
+ 1
+ 372.53639432 342.03797193 440.14635521 342.03797193
+ 370.53286329 236.46567101 320.15005085 239.92584728
+ fixed for a camera in all conditions?
@@ -585,6 +691,265 @@ unsure why a white Gaussian
321.36116578 107.06404749 397.15094586 107.06404749
55.51631248 369.91599576 212.45550725 369.91599576
318.70068996 574.58677853 458.52920990 574.58677853
+ 46.41166737 56.34579183 122.75468202 59.97049723
+
+ 136.85976030 56.77626177 169.74798343 56.77626177
+ 210.21763326 56.96604477 213.84736876 56.96604477
+ 234.01365124 56.90404704 298.47858791 56.90404704
+ 48.39965160 68.06617103 292.04445111 68.06617103
+ 48.80500548 78.49465807 63.32163914 79.14757222
+ 94.00552071 80.22668418 213.89141267 80.22668418
+ 240.42370680 80.50878333 294.98619459 80.50878333
+ 49.91912143 91.68787530 109.00987130 91.68787530
+ 124.66186592 101.93477910 124.66186592 117.71048868 234.42102061 117.71048868 234.42102061 101.93477910 124.66186592 101.93477910
+ 68.47389354 129.24359993 187.07496247 129.24359993
+ 200.54845048 129.63017707 204.79511423 126.67785163
+ 239.35741128 127.06747783 270.20461967 127.06747783
+ 47.90201170 138.03103337 65.97986726 139.76853746
+ 105.20931531 138.45301071 162.92163797 138.45301071
+ 181.47051328 139.65138087 238.59035193 139.65138087
+ 47.45419049 151.33026173 73.89024898 151.33026173
+ 142.72968280 151.18164977 297.64924626 151.18164977
+ 48.52801825 161.95356187 265.31657741 161.95356187
+ 117.99112359 174.92225050 291.80041063 174.92225050
+ 47.90409179 185.51778172 106.48776344 185.51778172
+ 135.37302059 186.22120361 289.07569919 186.22120361
+ 79.84740241 197.12191732 180.26366418 197.12191732
+ 91.25706084 205.78669895 91.25706084 233.33486307 257.24161221 233.33486307 257.24161221 205.78669895 91.25706084 205.78669895
+ 74.52609696 243.52963985 94.17824960 241.75708008
+ 124.26769196 243.44950274 264.89012007 243.44950274
+ 45.89230932 257.64400315 82.97993299 254.67293541
+ 122.83964251 257.92927196 169.60141510 257.92927196
+ 208.12297469 255.97655874 294.58478097 255.97655874
+ 48.58019264 267.18686491 136.32598696 267.18686491
+ 63.14972851 280.26681871 274.64687888 280.26681871
+ 67.39658175 293.29516229 128.48088600 293.29516229
+ 148.26541359 292.88849920 296.22415449 292.88849920
+ 48.11425790 303.89884158 233.53215973 303.89884158
+ 123.16585841 315.23789770 293.78760696 315.23789770
+ 48.56754848 327.77503112 231.13059305 327.77503112
+ 259.66095354 338.70058528 292.29747942 340.18987450
+ 82.50240058 352.50290998 155.03053924 348.11666090
+ 56.64819658 388.22071797 85.16629114 388.22071797
+ 188.53086459 383.66931961 292.32423913 383.66931961
+ 50.33372588 395.90418179 248.77735553 395.90418179
+ to deepen
+ to deepen
+ 281.40282939 273.35962713 283.64005345 276.63610131
+ 283.81776076 276.63610131 290.42056226 266.88435250
+ 53.39553786 274.86142270 54.81409909 277.31844282
+ 55.01232381 277.40891105 58.68608562 272.84150938
+ p
+ 184.19188468 409.75451641 272.92491002 409.75451641
+ 47.55291055 422.79969016 186.52845985 422.79969016
+ 267.05895906 416.46388028 298.08026483 416.46388028
+ 49.93235129 430.86278888 292.68197454 430.86278888
+ 174.64742087 439.47392757 220.83558918 439.47392757
+ 246.17383708 439.85549183 293.78824942 439.85549183
+ 47.20104888 451.82418926 85.56400216 451.82418926
+ 99.30524152 450.59191759 293.11805745 450.59191759
+ 49.51162717 463.19253022 293.47976345 463.19253022
+ 47.33991071 474.46242243 64.66406488 476.17634360
+ 86.57889356 475.29166577 125.30751759 475.29166577
+ 175.48222834 475.98762864 293.46311640 475.98762864
+ 48.89820018 487.97947832 136.48936899 487.97947832
+ 165.93369911 487.02773821 279.78445729 487.02773821
+ 50.19739633 498.97268046 145.27730813 498.97268046
+ 165.63961039 499.80876268 208.18909350 499.80876268
+ 228.06076650 498.85636796 280.51825042 498.85636796
+ 73.82341580 509.57890926 196.13288781 509.57890926
+ 124.22065533 518.13926459 126.36803580 520.28664506
+ 126.33927579 520.31502495 128.94426688 515.80304804
+ 216.73490580 516.21773111 219.46017036 518.14965210
+ 219.46017036 518.14965210 221.61265787 513.83497861
+ 5.15908035 515.50786656 41.39788026 515.50786656 27.69735837 507.59786656 41.39788026 515.50786656 27.69735837 523.41786656
+ 5.81333385 515.58681505 5.81333385 548.10322737 13.72333385 534.40270549 5.81333385 548.10322737 -2.09666615 534.40270549
+ 297.54239451 520.51421355 299.86082372 523.36299123
+ 299.86082372 523.58588333 304.78345007 515.05964438
+ 145.38748887 532.67271120 147.44597584 534.73119817
+ 147.67928610 534.84180495 151.39909833 526.75712157
+ 227.49923829 530.97456938 228.96372152 532.81908373
+ 228.96372152 533.06678181 237.31463856 523.28142434
+ 299.74637167 534.96926291 302.62889582 538.44032625
+ 302.73015247 538.57228030 309.40478796 528.76340882
+ n
+ 161.37134477 543.10557374 163.55572876 545.28995774
+ 163.53247993 545.31296172 168.72247732 538.44230728
+ 281.83200735 539.23761467 283.30103835 541.41075661
+ 283.30103835 541.41075661 286.41114595 536.02389224
+ 186.25028173 565.62916537 187.21835245 567.06884262
+ 187.21835245 567.06884262 190.17593194 562.38216552
+ ?
+ 220.36297034 558.23346817 261.15384189 558.23346817
+ 47.04963764 568.89266808 78.78596473 567.18158926
+ 63.10456095 585.85251884 94.27313444 585.85251884
+ as depend on neighbor/local region? if so, which of both?
+ 93.22729328 398.97333652 210.18896228 398.97333652
+ 159.16002917 397.79683525 135.61935027 374.25615635
+ smooth
+
+ could have a training and testing set to find optimal alternative 20 threshold
+ east-west
+difference
+far greater
+than north
+-south
+difference
+ 58.29522773 612.10248594 64.47830424 611.11996228
+ 31.64246917 587.89024423 31.64246917 606.06493756
+ 42.16834984 588.35661394 42.16834984 605.98195644
+ 21.86609526 595.23853443 53.41589705 595.23853443
+ 21.39329580 602.19265066 53.41074610 602.19265066
+ 20.40474722 595.74228538 20.40474722 602.51924555 29.42418551 602.51924555 29.42418551 595.74228538 20.40474722 595.74228538
+ 43.88162503 595.80240544 43.88162503 602.08531311 55.21092241 602.08531311 55.21092241 595.80240544 43.88162503 595.80240544
+ 30.98223812 586.56832649 30.98223812 594.60767004 41.63799706 594.60767004 41.63799706 586.56832649 30.98223812 586.56832649
+ 31.55971796 604.45321647 31.55971796 609.55026034 41.82417975 609.55026034 41.82417975 604.45321647 31.55971796 604.45321647
+ 186.32044476 446.16113832 193.24236490 589.56371787
+ only other, no? Maybe just design instances
+ weakest direction mean
+that way keep edge but smooth otherwise
+ vert. edge
+ no - s
+ hor. edge
+ 99.64615152 685.75885756 102.85700182 688.62208818
+ 102.85700182 688.62208818 111.18901291 679.56025578
+ 195.63645236 687.41000582 198.36798732 690.37345950
+ 198.60217992 690.37345950 207.83403666 678.07013969
+ 61.35368058 640.52502651 30.90881930 734.62626559
+ no + s
+ for. diag.
+ backward diagonal
+ 50.34236060 693.00744149 174.10761615 693.00744149
+ 48.80397620 705.16595637 263.30196034 705.16595637
+ really eliminate and leak only in this case?
+ 47.91155081 717.57942164 47.91155081 717.57942164
+ 67.50545245 717.31516901 291.81097963 717.31516901
+ 48.91769183 727.13716698 296.64184777 727.13716698
+ 316.62953058 57.32571430 334.13330054 57.32571430
+ seem appropriate, hoping the resolution is not so good that we are not always smooth
+what happens if apply many times the filter? Get a single color image or only edges?
+ ?
+ Independent and identically distributed random variables
+ 360.62404437 56.50215566 412.62421835 56.50215566
+ 503.93888999 56.74246362 563.85102495 56.74246362
+ 314.16312679 67.89352828 377.15982828 67.89352828
+ 326.73579824 79.29706273 566.05358802 79.29706273
+ 314.14872554 92.91554753 396.99601563 92.91554753
+ 385.42358496 72.64296108 503.46352239 72.64296108
+ why this value and what does it mean?
+ 331.12401113 122.99908986 558.38174858 122.99908986
+ 315.90684961 135.29700058 338.35950301 137.08041297
+ 396.62717285 134.53080577 565.25802294 134.53080577
+ 317.17581346 146.79726114 487.24290093 146.79726114
+ 548.86235340 152.79092071 564.85673461 152.15407877
+ 315.02551369 163.93430240 546.29901042 163.93430240
+ 557.46052063 158.65713954 561.32980613 158.16561932
+ 315.04342912 169.37444402 562.98915459 169.37444402
+ ?
+ 313.56495807 182.02036202 559.28678767 182.02036202
+ 316.53089235 192.43854769 558.68283155 192.43854769
+ 317.12699391 204.78283182 411.18959585 204.78283182
+ unclear
+ 439.68470953 203.68699306 562.53207490 203.68699306
+ 314.84570477 216.45583848 431.48563399 216.45583848
+ 315.38871463 229.19762127 380.71589667 229.19762127
+ 402.44169532 227.68716083 561.44238776 227.68716083
+ 313.26594261 238.96533893 557.94773848 238.96533893
+ 313.98300779 251.54789832 559.21175853 251.54789832
+ 314.15730428 262.37092107 562.79947271 262.37092107
+ 316.27559744 275.45661126 338.08315747 274.52221810
+ 376.62814126 274.47200321 517.09067455 274.47200321
+ 351.04714329 286.04785311 560.32406307 286.04785311
+ 312.97922679 296.81250429 561.84358933 296.81250429
+ 315.49124603 308.36361711 560.23396916 308.36361711
+ 316.04624545 320.02204164 363.83179326 320.02204164
+ 4x4, should not be 15 as do not count itself? or just ease comprehension here?
+
+ i.e. PRNU signal
+ 3
+ 2
+ 4
+ 567.97026449 248.20981400 572.87123772 252.48766610
+ 572.87123772 252.48766610 580.53180769 237.68657327
+ that way we get the sum of 2 possibly different PRNU
+how do they manage this blurred PRNU, feels like
+our issue with multiple sensors
+ really?
+ 563.49312904 320.13842305 563.49312904 320.13842305
+ 314.39006709 333.73627065 532.75157963 333.73627065
+ 315.73355225 345.23487748 425.45149941 345.23487748
+ 435.36695252 343.20120028 563.22885822 343.20120028
+ 317.33174663 355.66226203 377.80094677 355.66226203
+ 384.19355272 354.44950784 565.30581008 354.44950784
+ 316.14350558 367.35519961 365.22577724 367.35519961
+ 394.98787633 367.54729094 456.70659841 367.54729094
+ 489.62594101 367.71454184 508.45816947 367.71454184
+ 315.94102674 377.72106877 366.60925581 377.72106877
+ 316.48079804 388.13849647 316.48079804 404.73507738 422.67634930 404.73507738 422.67634930 388.13849647 316.48079804 388.13849647
+ 423.53784042 270.63858303 416.51850512 381.84463282
+ so get the mean of 2 possibly
+different PRNU
+ 432.69434899 380.44435230 325.58694691 273.33695021
+ 524.16630888 407.59222709 528.37640103 410.45196075
+ 528.37640103 410.45196075 532.37784730 401.57107422
+ 314.26844886 434.50087917 346.13238133 434.50087917
+ 441.71294318 433.56376425 544.88126402 433.56376425
+ 365.02576274 445.60176340 420.03471078 445.60176340
+
+ these are conditions, to the following
+ 390.41055227 445.60207347 313.69884147 421.49561895
+ 442.26677121 439.48314369 562.28575784 439.48314369
+ 387.30225921 452.65916899 401.10858044 451.73128741
+ 313.38197949 415.80469573 538.66277663 415.80469573
+ 412.63857372 451.38234991 561.04072662 451.38234991
+ 315.52311483 463.90778663 502.39420509 463.90778663
+ 433.58202421 456.78312925 312.09475568 401.79916868
+ ?
+ 546.53214135 459.51595620 543.41681992 465.51890079
+ For the threshold see the following. But how do we
+figure out an alternative signed
+ 379.36217405 317.42390775 443.00946924 455.29135944
+ 378.98002410 315.45608699 350.74047933 468.03746605
+ 537.24719257 461.31426267 561.01478343 461.31426267
+ 314.58706954 477.60916533 347.72873364 477.60916533
+ 428.38520871 477.24139325 561.24097973 477.24139325
+ 315.96023805 488.19927931 461.52338554 488.19927931
+ the shot noise is not modelled as taking that wide
+values, is it?
+ 336.92464484 500.46176306 462.81723593 500.46176306
+ 503.04561925 501.70540517 564.04704274 501.70540517
+ 315.83748449 513.19617240 562.78673277 513.19617240
+ 314.76798193 526.41558127 364.70550101 526.41558127
+ 373.80927459 529.03975441 546.83274814 529.03975441
+ 441.28484507 534.86106293 566.00470703 534.86106293
+ 313.32469260 547.27039269 563.90668162 547.27039269
+ 353.62462075 558.59889811 514.53722134 558.59889811
+ still unclezr how they precisely proceed
+ 339.92855204 596.66641656 358.20481865 596.66641656
+ 483.94054301 590.47410117 563.45503483 590.47410117
+ 312.63140289 600.90707510 542.73110135 600.90707510
+ 314.07044656 612.81342865 560.34679136 612.81342865
+ 312.63238007 625.30420099 368.72506285 625.30420099
+ like?
+ for random noise, right?
+ 471.85007597 625.50706615 541.95760162 625.50706615
+ 314.00783989 635.54209348 353.50132961 635.54209348
+ 430.98294755 636.72296044 521.46786215 636.72296044
+ 314.83328426 653.18373034 466.11791593 653.18373034
+ 362.95995618 659.02625033 476.90970793 659.02625033
+ 376.81217092 668.70179473 376.81217092 688.20301486 525.97509380 688.20301486 525.97509380 668.70179473 376.81217092 668.70179473
+ 388.56750019 697.11892265 468.12000933 697.11892265
+ 502.30043812 697.54736389 556.31950822 697.54736389
+ 315.93668473 709.22785494 368.94647512 709.22785494
+ 347.13883237 696.56573980 347.13883237 696.56573980
+ 396.07238232 707.73024809 427.35793430 707.73024809
+ 450.47606385 709.33396281 486.95242299 709.33396281
+ 520.75107584 709.23681801 563.77038442 711.37750792
+ 334.67188292 722.46367364 362.63472971 722.46367364
+ 463.59755292 721.12433564 484.24087967 721.12433564
+ 511.44765027 721.26582403 564.96356814 721.26582403
+ 316.02800017 730.89063950 469.74763762 730.89063950
+ 1
@@ -595,6 +960,47 @@ unsure why a white Gaussian
47.80585596 537.29194686 175.81070545 537.29194686
313.63286686 163.41478363 512.86929736 163.41478363
317.68667511 428.15766075 391.38114059 428.15766075
+ 5
+ 7
+ 6
+ 121.66477014 50.97736894 121.66477014 75.67376016 220.67795882 75.67376016 220.67795882 50.97736894 121.66477014 50.97736894
+ 90.84086598 82.62351438 90.84086598 102.91016794 267.81457693 102.91016794 267.81457693 82.62351438 90.84086598 82.62351438
+ 153.10080064 116.72213204 167.69047297 117.62874587
+ 286.39209850 112.51034373 295.00157003 113.24905028
+ 48.72295721 124.03293821 74.97465374 125.97654194
+ 98.32741909 124.68418592 142.15897386 122.64132539
+ 159.81100486 129.33725235 296.23010756 129.33725235
+ 47.32696717 142.22935129 96.19222836 142.22935129
+ 124.82475270 136.61827293 167.24450193 136.61827293
+ 221.91645456 136.83940785 297.00942587 136.83940785
+ 48.27315548 150.02589168 241.75767346 150.02589168
+ 63.01620992 180.85585725 216.94396283 180.85585725
+ 49.22095533 196.55122127 274.86172559 196.55122127
+ 73.46150478 204.04908504 191.26757109 204.04908504
+ 192.53252633 242.36309879 209.69835980 242.36309879
+ 47.43529473 255.32974719 154.00430920 255.32974719
+ 215.45631593 251.14099056 292.88840465 251.14099056
+ 47.60937457 261.60602564 79.93946240 261.60602564
+ 88.52537840 269.44782576 88.52537840 280.83859080 254.65052633 280.83859080 254.65052633 269.44782576 88.52537840 269.44782576
+ `.` is not a typo
+ 108.28067893 290.14985321 108.28067893 290.14985321
+ 78.07185916 289.84909058 78.07185916 289.84909058
+ 152.53207030 290.30368843 292.00071385 290.30368843
+ 135.19759266 307.40673785 186.50705342 307.40673785
+ 228.67060192 302.25841333 294.88324682 302.25841333
+ 47.26546386 313.69019767 196.96510695 313.69019767
+ 234.07044539 320.64065292 298.93479679 320.64065292
+ 48.21213948 335.41517715 111.22032561 335.41517715
+ 147.59588688 324.65804837 147.59588688 332.09919641 293.76285201 332.09919641 293.76285201 324.65804837 147.59588688 324.65804837
+ 48.56000421 343.59819496 106.70223961 343.59819496
+ 143.27335157 343.23208185 293.77192262 343.23208185
+ 48.86378046 353.84024849 164.12207883 353.84024849
+ 177.02466448 352.81745034 241.45308792 352.81745034
+ 82.82033523 365.39435550 212.38955017 365.39435550
+ 218.24675713 372.11177528 247.77338381 372.11177528
+ 237.84039133 358.89389861 206.71850860 242.74545101
+ 46.58963278 382.50527023 202.56231204 382.50527023
+ 136.51804152 392.15665604 210.57548036 387.27930856
@@ -603,6 +1009,8 @@ unsure why a white Gaussian
381.42528733 197.68428757 490.97943736 197.68428757
317.23552939 440.66761664 486.42751461 440.66761664
319.91997570 586.40761369 441.19501087 586.40761369
+ 8
+ 9
@@ -612,6 +1020,8 @@ unsure why a white Gaussian
87.00674914 574.74089845 258.24542230 574.74089845
319.39671002 95.85735748 498.25035105 95.85735748
319.32304762 517.35903459 421.01378198 517.35903459
+ 10
+ 11
@@ -622,6 +1032,9 @@ unsure why a white Gaussian
341.31909075 348.19610327 532.11972274 348.19610327
318.88132334 481.13929046 510.85312618 481.13929046
318.88628420 642.24731954 420.29010166 642.24731954
+ 12
+ 13
+ 14
@@ -632,6 +1045,9 @@ unsure why a white Gaussian
318.41500324 322.14998295 398.92002418 322.14998295
331.24013999 638.08157945 542.82775915 638.08157945
315.02077988 709.10639112 474.01809374 709.10639112
+ 15
+ 16
+ 17
@@ -639,6 +1055,7 @@ unsure why a white Gaussian
52.55896719 314.02027189 191.07654130 314.02027189
373.82000921 241.53100834 505.05535106 241.53100834
+ 18
diff --git a/articles/Sécurité multimédia 1/Sécurité multimédia 1.pdf.txt b/articles/Sécurité multimédia 1/Sécurité multimédia 1.pdf.txt
new file mode 100644
index 0000000..44c68da
--- /dev/null
+++ b/articles/Sécurité multimédia 1/Sécurité multimédia 1.pdf.txt
@@ -0,0 +1 @@
+https://books.google.fr/books?id=2Ws3EAAAQBAJ
diff --git a/articles/Sécurité multimédia 1/Sécurité multimédia 1.xopp.xml b/articles/Sécurité multimédia 1/Sécurité multimédia 1.xopp.xml
new file mode 100644
index 0000000..a37da41
--- /dev/null
+++ b/articles/Sécurité multimédia 1/Sécurité multimédia 1.xopp.xml
@@ -0,0 +1,323 @@
+
+
+ Xournal++ document - see https://github.com/xournalpp/xournalpp
+
+
+
+ 56.33486938 235.34841919 383.90442724 235.34841919
+ 83.70358276 280.80239868 364.15401885 280.80239868
+ 126.78527832 309.83660889 326.41296851 309.83660889
+ 133.67620850 465.43853760 306.92145184 465.43853760
+ 156.61151123 497.09783936 288.53984953 497.09783936
+ 35.66342163 111.55590820 404.00446554 111.55590820
+ 176.59283447 620.62936401 258.17791321 620.62936401
+ 181.69464111 638.43688965 262.71247060 638.43688965
+
+
+
+
+
+
+
+
+
+
+
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+
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+
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+
+ 53.25422853 93.96231613 109.94657681 93.96231613
+ 63.43348021 104.64573838 99.79040709 104.64573838
+ 176.17962935 87.54076195 253.26703991 87.54076195
+ 306.74572836 87.13013888 355.50471633 87.13013888
+ 126.00952194 100.33744050 220.77459225 100.33744050
+ 223.59404073 103.49774092 364.57860390 103.49774092
+ 124.78790169 114.76817371 182.73989907 114.76817371
+ 52.71128046 140.67450222 109.90642086 143.09557106
+ 54.36596487 184.88871792 107.66758634 184.88871792
+ 49.45427417 197.47308033 113.35831861 197.47308033
+ 67.25220139 209.24346488 94.93423533 209.24346488
+ 56.56094913 257.81419669 107.59600645 257.81419669
+ 51.04987233 306.24043431 110.36138644 306.24043431
+ 145.57877561 297.62342583 253.72958198 297.62342583
+ 329.15863106 296.84757774 351.34563847 296.84757774
+ 124.68713177 308.58522067 183.57308492 308.58522067
+ 233.20700906 307.72605111 349.94347915 307.72605111
+ 123.79737585 318.59668299 210.33851897 318.59668299
+ 126.09285488 125.07733718 238.68202786 125.07733718
+ 331.55257571 125.40289623 357.80953893 125.40289623
+ 125.34927838 136.73009951 202.22850193 136.73009951
+ 122.16809027 153.23229073 193.22479262 153.23229073
+ 277.08200043 154.13513871 364.07862620 154.13513871
+ 123.13832456 165.72044596 198.71632766 165.72044596
+ 162.93277640 175.84421113 281.57569912 175.84421113
+ 125.67287706 186.43296240 281.13591635 186.43296240
+ 292.46435015 191.54306321 376.24175425 191.54306321
+ 124.38751610 201.80987810 326.49347336 201.80987810
+ 122.39743067 212.62752266 175.59649128 212.62752266
+ 181.07301180 209.30282627 375.53598440 209.30282627
+ 125.57005506 219.83643495 346.79496034 219.83643495
+ 163.57924005 236.73180079 367.82983738 236.73180079
+ 123.68175985 246.43563400 236.50251607 246.43563400
+ 137.90149531 262.25598319 361.16885092 262.25598319
+ 123.33172484 274.79302158 234.60967573 274.79302158
+ 254.53001462 269.10767244 375.64133453 269.10767244
+ 124.23479064 279.71311551 259.79697195 279.71311551
+
+
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diff --git a/articles/Variance - Wikipedia/Variance - Wikipedia.pdf.txt b/articles/Variance - Wikipedia/Variance - Wikipedia.pdf.txt
new file mode 100644
index 0000000..f06130c
--- /dev/null
+++ b/articles/Variance - Wikipedia/Variance - Wikipedia.pdf.txt
@@ -0,0 +1 @@
+https://en.wikipedia.org/w/index.php?title=Variance&oldid=1209733937
diff --git a/articles/Variance - Wikipedia/Variance - Wikipedia.xopp.xml b/articles/Variance - Wikipedia/Variance - Wikipedia.xopp.xml
new file mode 100644
index 0000000..4143c19
--- /dev/null
+++ b/articles/Variance - Wikipedia/Variance - Wikipedia.xopp.xml
@@ -0,0 +1,94 @@
+
+
+ Xournal++ document - see https://github.com/xournalpp/xournalpp
+
+
+
+ 62.38388062 117.45330811 110.18388434 117.45330811
+ 50.95126343 85.99273682 141.33876388 85.99273682
+ 126.34671021 132.85809326 226.32006749 132.85809326
+ 46.90173340 149.93865967 226.37132498 149.93865967
+ 49.91009521 166.18173218 131.44212303 166.18173218
+ 183.15277100 165.64047241 224.72326575 165.64047241
+ 45.22964478 178.92517090 119.46238422 178.92517090
+ 146.28335571 181.98068237 228.00074457 181.98068237
+ 46.11941528 196.51092529 177.41695603 196.51092529
+
+
+
+
+
+
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diff --git a/articles/Wiener filter - Wikipedia/Wiener filter - Wikipedia.pdf.txt b/articles/Wiener filter - Wikipedia/Wiener filter - Wikipedia.pdf.txt
new file mode 100644
index 0000000..8cb545b
--- /dev/null
+++ b/articles/Wiener filter - Wikipedia/Wiener filter - Wikipedia.pdf.txt
@@ -0,0 +1 @@
+https://en.wikipedia.org/w/index.php?title=Wiener_filter&oldid=1178093606
diff --git a/articles/Wiener filter - Wikipedia/Wiener filter - Wikipedia.xopp.xml b/articles/Wiener filter - Wikipedia/Wiener filter - Wikipedia.xopp.xml
new file mode 100644
index 0000000..3501e29
--- /dev/null
+++ b/articles/Wiener filter - Wikipedia/Wiener filter - Wikipedia.xopp.xml
@@ -0,0 +1,64 @@
+
+
+ Xournal++ document - see https://github.com/xournalpp/xournalpp
+
+
+
+ 48.93957520 85.40319824 192.34981557 85.40319824
+ 61.62439084 124.85156213 137.34677309 124.85156213
+ 342.48224799 124.38810078 554.42637490 124.38810078
+ 44.52724442 139.51391712 458.26500586 139.51391712
+ 469.32119001 138.42048903 551.81987263 138.42048903
+ 44.88236953 154.11074299 308.99097872 154.11074299
+ ?
+ ?
+ 414.37152774 153.83314997 549.41416911 153.83314997
+ 45.80421362 169.06011454 370.53950825 169.06011454
+
+
+
+
+
+
+
+
+
+
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+
+
+
+
+
+
+ 51.71200406 458.73188741 139.34892500 458.73188741
+ 177.80920218 491.58566666 547.67463916 491.58566666
+ 43.83150990 505.31064690 221.04642092 505.31064690
+ 473.97601927 505.92393241 550.40429668 505.92393241
+ 66.22843698 534.66866884 187.80291192 534.66866884
+ 68.42738238 553.52091550 145.95897559 550.33045361
+ 68.47537734 568.72139380 153.10591247 568.72139380
+ ?
+ 63.69312769 585.93644262 159.03193310 585.93644262
+ 69.76588174 684.74067933 116.99902534 684.74067933
+ 174.45177094 683.37753877 548.20533083 683.37753877
+ 44.35077160 697.15122257 96.57729100 697.15122257
+ 204.66861215 614.84543377 527.26039374 614.84543377
+ 147.69447875 627.53055327 411.26833752 627.53055327
+ 465.23908113 636.99625821 465.23908113 841.84283714
+
+
+
+
+
+ 404.35259079 157.09846204 537.22696199 157.09846204
+ 422.49557759 275.16478116 522.93753177 275.16478116
+ 401.34343377 289.13472417 471.58286280 289.13472417
+ 465.33788547 37.07230524 465.33788547 -0.00928916
+
+
+
+
+
+
+