@marcrex You can do this with LAF
Posts
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RE: Neural Amp Modeler (NAM) in HISE
In case it helps:
When I create Neural custom node and try to open it as Hardcoded FX, it doesn't work.
I had to embed the Neural network .json even with the Hardcoded FX too.
I thought maybe this was causing HISE to make extra efforts.
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RE: User Preference System
@clevername27 Looks Epic! Thanks for sharing!
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RE: External sidechain?
@ccbl You can test with selecting "Mono Channel Support" in the settings menu.
I am not sure what will happen if you run the plugin on a mono channel as side chain activated. Especially in Pro Tools & Logic Pro.
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RE: 8 Times more CPU consumption on Aida-X Neural Models
@DabDab I haven't trained any model yet, but loading models is done like this:
- Open the Neural Sine synth example in the Snippet Browser. Delete the synth.
- Then replace the sine example with one of the models above (the models are in json format, just copy/paste).
- Then open the neural node in FX as Scriptnode, select the model then you're good to go.
When you replace the neural network, you might need to restart HISE after saving, sometimes it doesn't update.
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RE: External sidechain?
@ccbl said in External sidechain?:
@ccbl Also I can see my sidechain meter (bottom) doesn't seem to work as intended, it appears to just show the input signal.
Again, you can try scriptnode for this too
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RE: External sidechain?
@ccbl said in External sidechain?:
There also seems to be some delay and volume difference between left and right channels?
Hmm that shouldn't happen with the standard gate.
Below is the sidechain example 2 in the snippet browser, you can try it. In this example, the sidechain has stated in the comments that there is a latency in the signal, and to prevent this, it swaps 3-4 with 1-2 at the entrance. After processing the signal, it returns it to its original state.
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RE: External sidechain?
@ccbl said in External sidechain?:
@orange Is that from within HISE itself? When I compiled the plugin and tested in Reaper I didn't get the behavior I expected.
The plugin only shows up with 2 inputs. When it should have four like the below example. And when I set the plugin to side chain mode it gates all the time.
Is there some other setting or flags I need do to make this work as an FX plugin?
Have you set
HISE_NUM_FX_PLUGIN_CHANNELS=4
flag?Unless you specify it with a flag, you will always get a plugin with 2 channel inputs and outputs. With this flag, it has 4 inputs.
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RE: External sidechain?
@ccbl It works. I inserted a kick synth that goes into 3-4 to trigger the sidechained Gate.
HiseSnippet 3258.3oc6bzzaabbcIkF8oskrSJrABPAgPNnz5JHRIKY2VTSIQoHBaYwJJK6fhljU6Njbp1cG18CYwDjfbo.8Vywla4mPu1SQG5wdnn8Xu368RN1dx8My90rKWRtj5CKEPdv1yal4Muul27duYVWwjpfsrnlRYlZ+VMwRYtApZKC6FazPlXHUtDCfEQuoFttrMVZ8VMksrvpRYxLxGxFQlIGUh+66e75xZxFJ3PPRRGPIJ3mRzI1gPqT7IDMssjUw6SzEF8xEKqPM1fpQc.pYDzhRMkUNRtN9YxrgkEIssrUCoL+DTgUeT9UNrvhEdzgqhWFWnVd7RGVaU07KtzhKKW3gKsRM4UxK+HoLisoJwlZV0FncKoLitNUsU0FzWY3t.GPrHGpgYMxKUEVYWvaQ0TYrH6eKsQChlZEewjkDfzJgBsQbEZuKZGhJI.dnvaVdG4Bmgn.LS1nj2HQHu7hj2hBjWBjTFARZTWR51npJljl1g8vnmoQkMrwl0jUhpKcGqTl+FZCJL.C6EzkOBukIzHXByuxhKd+bve7A+hofe0bLTrITibTimQsw6ZL+GL0mO0jS8ESkKdW0pkXerkxjpogMSral4gY2l37FN5GhMuetik0bvACDDAQkqnNKWEU6Jtbtv.oFkMH161D60tcIujm3BzAS3QUvPs4Zfa4oAppQTwlRDPPON5IFzCyKwIXwMJRodxEhO4+7uJ8Sdo3Sd6SS+jWN9jWtX5m7ChL4S+6Oc09XxqbVV4UaSZ2GS9gInpdd4Rx1xrccdJevfnI1zlvr0xTBeL3yycO3jnRXqiroMgMdaP0aRMXlJYl11yog6htkFU1lXTeeBXSxV5YPhfJHcRvx+seYwVAMJ9oE8H.+c76HaaRNoBV9ncvvlVoCq66NcxwfI7F1rH1X8PnO+4OOFzBLvyM2bbvbFM68xf97oxkat.C+xpy8yyMG0wtoi8b2m0UYCU7I.veVddSvCpF8UufZdjE3DGCcTSVyBy6qJttNPyOEqVk7YrtJrvh7NddyRXE4Vrs8.zE8fVB1MlD7magqBjqBFb1ZXf0rhtHGge0VxJfS.9Td.GXEYUUPn5sr48PDa+9Nxbol.TOrx4KLC2+F.Ztb7NykKO7m+1o9BoWQTsaDZb7QEafI0aHbXWKls1.p3WRPwCV7uET72MYEOwXnduuz62rmGHDpo+JYAMMfYchppFtB0hvN7Krm6cpkMtIim7f8sey27WertXHYO7TcYASn4KZ4TqFAffP4TWWpYnVkQHbsJDykIDtEXCw.NFhGimM9DaVbfkYiHGGjNU0y+lB4PrlT+vshNzN07sB2NFhGMaDlcFTUfPUXgtIv0yFBM29lD8tx42pmG+FRfE+ch6nwcjy2t2b9GEkykj5SN+Fn8aXhsZz.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.PX4dlidziFfS0yvnAu1KxZ+F3WUrgZPCuNyK1Y9XcVf0NKfIVmEh04Rr1i304R9cJkBeH9Y2Nz+wP+GC8eb8v+gj2F8D8ejwqyD8e36bIQ+G9cln+COg4T94N7RtXzKaqjtur+HJ7doZZhg7Uv6Sq.V0yaIy7.AYdhuetC0nJGwhJt8KyxKum0YiXdEOwwfbmWicN4t4xVY0mN6CtuMomgseEK+G1Ew38uAG8d2XMW87I0NIuzZrDkXoGR71C.ZONLvocqlMnFDEFH2Q3yiqoScX4R5RdaKasuLQiEZdUGql.8rqQUXv7yBxLxAXSKNhGGA4Ns.HBx9Ld1sS3lfTqJxryQtMhcAivVSr4BJh2tdHsJZg4dq22fa54NDIFV8StzUjCTsNOo2rnf8ffwIn1q3m4L6NoxlYDg6nx85hYsfs9YcIhxVGv5UQVSxqxC.myVO1v8XmwcOIU2QylH0QVys614D+IlVlHJImHsv1WBhwHjxz.oXhWnd7rEbIBuYjZZHaDZPPlB6dBZAJ5cHFwJXyCOER4MFr4KVMgplDlIMq1HP5wd9b3wmbP765sThkGRRZMGapNXpvoaIAZa71oMIo1nsh+odRabne56T5e8X2rxppSo1M.OERsU2sRcp3ocmt9nDjYv9+zPWmV+u7iJ5ZJuG1B6szsgqNI8jhXgyrQx2OlU9S4JqcEyoemsp5rbQzpJ6Pqp90pRTwJEywEDPQDKrYPpsLj0IJVKzVzFgNufNRsQ1nQLxBiBbeYy5Xa2GuBKFkS7eNCkHVMgPWV2oVMWawnPXGVvpVm+YwaBAhnBKFe5AASIZKi5ts74ilQ3tqN610SjN6ZZJsqW9q+2b65fKcJFtK2Ai5xEurovvaB57mDGkkYQ6p5ONEGGt3BOvKAd26voMTTpCWWxYT9ARvpIbYNsI+3P87bETkx1Hl9zLz8QF1UmZC1w.QI43W3cpi0f+vmLv7LSrh1zK.M26py8PwJIbGNWJtrS1wvW8+dya9vSOarlmm3Jc7RzGfiJOWbof574jmEdKXstD3qDcD8s+S1CF77mwDt+6dvYE6t+KDp.D3dbeWK2MeWwUTigxySdbfYlf64t6rRRthOG81IEisbSoYv4pHWq85T5Q5x7j9GnmgYZpUbvkOOrXwCKV7vhEOrXwcpXw20UXNM5ExGi4ezLd4X+DBbTYm8d7OR6WJSyT+kxrqhMPC6aJaX0jZgyKf4Sqh0I6SMvVhPiOiBB50uKXFEh5xy1wHBp8.EYTLYwVTS87hFJ9.EWkGCVaQPFzNBl1g3+xb9p+yu90OdSCYvVpJF3b0csT.AibrClp3nYg4a5Dv6qE.WPD71xlpfRSoatgGMctgi9zSDF+k4GOTJo0d7sMkIoGDxZlMw0qS3xaFccKQHQqZ841AYBeXMuSm9ZMV2w1F7SwdTW2B4REdfR+2Wi.NtoaQdhhBWWKo4CFYFDySEKLJWXAHXzTh.HRGX1bZXv9.glkifpGQZiDxjRQ.fApo8Svs5eAYTFoIFqxdbgwQPt1+1al0CAaP0OjtN8DNJtCpJ926vtgk.voiYDHiahbcxsmrQcb+qOmDUsgSsZZ3AyZZZjqGq8I3NQ5i5N46DYsqvxyhgf2E46GVni.LwNLRkW3s2CkekER9WerVGf0nJv46IsVragKxZU6mt9Zve8nMVXgkbpvAj905NnmhMpa2HcqzQ7Uh86kzJswUcyD51HuSxqBo3wSho6VPIhj658LSOGP0sQ6TYSvunoOxBQR1TijYXHYSC01PwrozrbLz1rBTztI8UgGZ4.dP0Ltz63n01tT087Rug+uysIjxkFjVXzSo1gZP8u52PQvdXHhy50wQy1MIVxsZHa3XdbrpMqH2pMndkNQH5MWHOECjl3.4Jlf1ueQN5B.70NEq5XYGFI4o+3+vu7T+xWHPbapP2w8wU2QUvfmdIJklI2zqhQ43Qtd0Nwma4SqtZjq1D6MPbyhqCx0YPdFrWKDr2xuTfWGDsc88iOxY88iOftgms2tgKLntgWmzjU1rN753+9u6r3Q9zOMcdj8PWHf0i4QleyEs4Qd4hC8HOzi7POxW+8HO3egLWxExcGxIWep6LjhkkRgb7CzxcAch1fW9YThkeNarxOmsakedj3keNEEQdbzynDK7UlpHK0uUQVXFmOUQ9cKlPUjmnX5qhL+2aipHiNiUQd2iwlGSvup6FtuUpr7EgyqyZ8ENe9eQqI8oQ2aG1O.1f6hjeE2WjUWPzxusXJe+hOkXfkMu3BqLSJ0W2SLrxb+v3Cvcjqae.tCCu3G1gWze2t8U7aPWWVwj9IJtkpl4pYBNDPhYvelySh1g0NWB+ujmNbn0mnnDEUsMwBC5DWZPm3xC5DevfNwUFzIt5fNwG16Ixhov6Isx1gAAeUYS2GGdF23tb+3T9+vkfQPv
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RE: 8 Times more CPU consumption on Aida-X Neural Models
Here is a list of models that I picked. You can DOWNLOAD FROM HERE
Here is a great place to find tons of guitar amp/pedal models for free: https://tonehunt.org
Aida-X and NAM are the top used for guitar amplifiers. It would be perfect if we could open these models directly in HISE and use them with a lower CPU.
In my opinion, Aida-X is the simplest to use and train.
But NAM's library is greater and more accurate sound with higher CPU usage. -
RE: 8 Times more CPU consumption on Aida-X Neural Models
I definitely did not oversample.
From what I've seen, Aida-X doesn't do this with multithreading.
I think this performance difference is related to the backend method used in Aida-X plugin, because it is already known that Aida-X works faster than NAM. It might be a good idea to examine Aida-X's open source method and optimize it in here.
To reduce the headroom in HISE, I compiled the Custom node and used it on HardcodedMasterFX, but it didn't make much of a difference.
This performance difference is really high. Especially when we consider the Pedal (Neural) > Amplifier (Neural) > Post FX chain, the resulting consumption will be very high.
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8 Times more CPU consumption on Aida-X Neural Models
I can load the Aida-X neural model in HISE. But I observed a performance problem.
When I load the same model into the Aida-X plugin and compare it, I see that the HISE exported plugin consumes 8 times more CPU, the same model is installed and there is nothing extra. This is obviously quite a lot.
The test video:
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RE: Learning using LAF UI Collection for everyone
@Billowski said in Learning using LAF UI Collection for everyone:
you have done this with a matrix and a dry and wet gain
With Scriptnode, it is possible to do this without the need for coding and with much fewer modules.
HiseSnippet 2879.3oc6Zs7aabbFeojV8f1IMNOPJJP.VPzBP4pvvk5MLLH0K5HDSKVQFYG3F3Nb2gjS4xcH1cojXRLPO1CEHmCJJP+SHnWJ5M+mPQ6gdMn25gh5+CZ+lY1GytjRhRUV1wQ5.EmuYlu4a9d9algUcnFXWWpiRpz0GzCqj5lp0FX60dq1Hhsxtaqj5Fpc5p2SekmbntxlC5gbcwlJoRM48XCH0bSov+64E2DYgrMvQjTTNfRLv2mzk3EQsZoOgXYUFYhqS5JM5kJsqA0dKpEsOHLSplWoGxnCpE9AH1vlPU4iQtsURca0Bqtt9JMJjuv5MVEuDtPSc7hMZtpod9EyuDpvZKtRSzJ5n0URM8NlDOpSMOjG1UI0TaRMGTqM8HawBb.wkzvByZnqTCVYA4xTKS1Vj8cksZSrLqFnkbUTRMS0Hc1jBc16pVgXRBoGo6dKdGZQyPVAlZh3h2jwDOcYwKuj3MBQJkjHMkPjtkZMCGROundD1xcs8vNMQfcRVTDiUYheup5VTXD1d45h5fK6.MBmQ10xmeAsB4yO+cRm9i9Hs6g8zJ+nzfUy0S6PjilfKkejt1c03NQ4Zg81oYSrgW1LgclgMcX9a34gLZqUyhXhcRSrsH1Xsl8sM7HTaMpsnimTgbbc7wdLwxgZk0f1sG0FDvEfkzpOd9zeY54B4cNWrGvWGRi9d3rQjAlrfV9b400ts+ztS5mBhQvlEjysBXLHpwV4Lyy3p+5uExxpA3Wl8DjO+8l18oFHKs6uQYe0iE0v5IVnlflIXMMbvfcmOv6Soc1v1rLFakMfC9JF2zASMmCtEwErEk80QYyX5fNZepGxYfXvYVHTAls0BZzF+Zl5gwMlHp8I1zFto0HM0xBckyiQ6t2UKSkceTl40RqooA5xV4ZBwmaXYwGCwC2UDSpCB1bomiYmQvtf0IB1A2QPBTp.wLY3iI8bLM.pA1hutLFq0RnDYbhy3FsDM.tF1cYJS6WGaz1F5q0fLLus4uil+HX61MrHsrwlL1FtGVP6wnGm+yWP6CymSe4aid7hv2QOt.+yE+b3eYL.EtC1Ly7Qx2AL2fH4SrAXrj6ebmQJzQZiBisby+HPk2ldH1Q6q9J9BYXQL5fMmmOhuj+4bIWQOtqkjhZtydEm6xRUwX1SEahzifoUPPDtCsusYVPmMu1OGr+vGr0xseylrPN+UarVLes0SA6S5mxiBjxrDKVSJH5zCbYLINMlxanPtfHL93kx.8.pGdO6r7TLoAEQxtZ1bj84mJvB6LxtYk8bNsIl0te2FXG4DbrABo1iWuP8jqWHWNyPnpjFH0dWah2d8v9sGthhhu9kUawWpfg5wqr7l9UVDJVEhIqLWbsrBWxipsuaIkOc2sQdn.9ArFVtdXGOBamjZa7g.RAQkq4T2F61wi1CJ5GZaAbIhU+MBpqgrwV7EeVU920UNVF5w.4FGQL8ZGRP62UpMlzpsDnDRof7QL.PKUX00zWOe90xqDEwehcTHnmkWawBquhRTHahozf5.5n8Qlj9txRmfdMxWDC6jhzd+ViulWRI7YkFH2HtR327KFRITuDwsB1CUE4.PtfBMBuC19Ab1TgpDJD2pV8aQrSLDYk2hKu5hKu9ZqVX0wV4IMkgUdEVRe00WWoKJ1NyD2D02x6fj9YcIllV3pTWBKlRtGQJIl79y.PnCgWBPpQM6ag7hCeiAx0uCF+jwLwvEYCqy.YPvIwzM03goKBx4HiFGSw8VpUIdFsGs7NwHjWHb7Es75iP9MTE3.iD1oTK+nSEN7TiW5sy.s9HfFmVM.XnOl3PbhiBSbpeqZTN5dN3d.pm5zpVnAYcQc6Yg2GD2EzZ.EQ5vhgGNwdOgDrIaDYMZirgrUtWj7+SO1mWP+TOufx9z9dD6VPAbGVHg5C52sFDxYf2xW5.ZolfkCRzNOqMycoF11j23+B+42oNqcJ+N0C5LpBhxCvdGQc5vsF9eGNEES0eS0sc6EPBfbROhkzi367B1.NspTqA8ZSsIFLRhQDHoazEve3EHtvIDqiHVLu8Z8cg5al6YWCFL+Xool7..NMmwynBmEHGrQl3ATSnqYJiL.E6fpHVFxaoxJYB9oXmbFg9qwjUY+Dw4Si0MiqAYwDJNPp6xSkCmikYxBSfxp9MQpIkpFJ7YYsfH0IDK8ttGv5Evsn3mxC1urUgMb+MwzrgNq5wMQrhCw1QuEeGAtV476cX4ObhmtrmPRmHgj9iXtRR6MegUXcTRL3oY4vvgiQc+J0.mniXovpib.jc7UPlfO7AaLOhwMdSeEwtlLN2hY1BEDAM9EVnbQ32Lb9oOZFJscYltnJiyVgXmn.khREzwIn87h07v8RV9uVG7QBan7HYpsYTELHjMG7le3e5OP+GE2dj0DUT1nuGsKjxvLzqw2YYFU2dVDOkSz6Wz8vNKAS773qLR20YTEAXmQ72nj.QOmKu0yYbUJIA02iJlbdCPNcv4ZMZIzeFmg.NQLUTLWoIOcWoO6YC6JAtMwck9iey27WJNjqzyZ8suWIwth6BODWFOOII4alwxUuzWWZrjue06r8euneo4tTpWanVURgboRiVHWpzYHWWF5saptOFNHYh3vyR6Ey7pDKoM2YV+7GFDNyWjwAwqu3fOD6zHYjPyiy42wnDR+ttbhEl4ESZU3Xm.btQ3ocRFzuqnxKdoZF0GxO11Pq8KQYZZU9XC4Bq7y+4O+uOYQJVB+VC6oe5IRClx0YRuNS5HyjdhMhgFiefCU0JvAdt7CKFyvymWb7vaFBFOFfy.feJaRoc5h3mn5BcuZxmOeVQm+D06YQafrhtUgfZO7C+7A9cqE1uV3.NsWE7uNtuJXuw9UASM4+mWSvntwhTS8h5Q8tRu.n2YHyj62muxpIeM5JqNGhxUwsyLbFfgd2+apNVg3O+pNDO+ELDW80hP7quR5Whw2WN+BMlqdvq4P32er3vQBiqfjlfV7vt8oztRnQz9ke8+rXvQVBI82J9Pr28gYaI6BrsyfDzTTdnzyAAfz9WEK6fweAlekbRP2RFK9p8kNKok+.gV9sUq44fQcgUtF+55E.ZRq52J+UapspNXKJxLNpxmUZy9fqXhm.7aKwWpfa3NZs7k78w8vHOI6E72rk1e+64P62K4rddQdbXcGjQmHGFdG6YiA6om7dbKGpqKCAJmWwdrxp8cZwzUQT39ptwoA1VYqJyP8otXlODwHvAHZz7UIecD2OBNKGusdh1ERzdwDsWJQ6kSzdkDsWMpsPgVA0i4YvNKYhGZelwymGX.+knkF4ljVgLWPQNMUnZlKJRE3FQBjout50keJ3f7s6XCIGgiMwkw2V0+vaATimFtB0lF7ZTxAAfScqV33WVxn1P7e1achn7tk1GagQtRQw+zR2GPcgbhGaetzE5m6evfizd8iUEhqFKul1qGnN9A5oJFSU2a5WXTCVcGuWwsy2TkmJWiU48kkndU.qI3GM.Kx0+67a8I0jXaVoCNXZqjH7B9Eu.UztpAe89Bi1MTeH5PL+bkb606wa2j5zU6dX3bkLq4U70GsmgGHB.NHa2dTWH2t7c6g6RpSswtwnlXFEF4LJD+ZK85aGm0BRwFESUTFTE5xv2BHVPlHfpHFyf1w3TEY3TeWwc39D0vvN2bOWCPwfRbckU6a4h4G.PWdhQjKHS9iQNlfMLV8tK3svEu5uz3uFwyqRHdJbMhmqQ77CEDOrbGG+8GK86qB4zKnwM2Zu7s2WE.KtJVitHCG5S7+YxwRXLKmBrus4uB8bpUXs0zS9aaWQoKT54IFFwY0PSrvEchKdQm3RWzIt7EchqbQm3pWzIt1YOQFx.+mamEm.vkpti.8bpcBQOOox+CPb+LTI
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RE: Learning using LAF UI Collection for everyone
If I understand correctly, you want the Dry/Wet slider.
When it is 100% it is full wet, when it is 0% it is full dry. Here is an example of this.
NOTE: To use
Engine.getDecibelsForGainFactor()
, you need the range of the slider between 0 - 1.HiseSnippet 2532.3oc6a0saabiEdjsmlH0z1jtsnAEn.DB6BHm00clQ9WXDX4Xa4ZT6XsVtIoHaQ.0LTRrdzPgYnbrZa.1GfEXuXup2sOB6s6c4QXw9DTr6U6c4MX2C4LiFNijcUcSbrSsuPQjGxCO76b3gejTolOylDDv70xU3f9cIZ4tgd89d71q2FS8z1dCsbus9gcL6ZtvSNxT6d86hCBHNZ4xM4VhFjK+TZx+dwp2C6h8rIIUoo8.F0lrCsCkmTasJeA00sJ1gb.siRqmqx11Lu0YtrdfwLotgVWr8g3Vj6iEMaBcsOGGzVK2czsVbYyEZXYXsbiEIyQrZZRJ2n4hNlFkMlCasT4EZhWvDurVt2ZSGJm4Wmi4j.sbScOlS+5sYO0Kb.d.Mf1vkHJXpUGF4vpqxbcDSQw20VuM00oVLJEnok6Z0RvrICwrOPeWpCcP8IX2MkBPI8PE.yMQZyaxTlmop4YnXdivjxoXRSEZR2RutsOsKOQRnubaONwuIF7SplRXa0l3udM80YPK73y1AeHopOTXPOJsjgwLHKCioWoPgO6yPaQ3npOp.30B3niv9n5zNccI6SNh32vDcWjLPZ1VD9lMaRr4kJF1.TTKJJzCnn03brcaTcWpCwu.0yk5QPM64YyoLODyKTvS1kd7Aji4B6ym4Vxl0oKyCrzYfw1sGY5BeWg7orfYCHbP29zF83jRoE8PBeG3qtwcdkBOCLl34NXxqGqdvpSM9EmVn2HqXcrqaCHLszIXkQyPzNLarKZm0pFgVtLa2m3haBfT7XZ6Sfv.YC2gwNbMOmpDhaoXMDAOAEh65r9jVz.v0TMBoJUzwG+z8Ybre+vFWblAvXoVyfXM9FAHIzlvDQegGqQPADsIpDHZVtnt6dWTwc29QEmFU.gP.h1Z1lvx00bcksgxIcBWhZBFV9B4EtcLLKDBwvLXkvp.PEprXQYaJjWf.3FDW43JTLpUHHJzjTwMZEV.z5.wUYBz+.hcaOPVq9EEAeSuBJpEhY6ZtzVdDGgZGLGlA8X7iM95YPepwrlyeG7iKCeG+XK4mk+Z3eJZC.tOwo3zI12CDgAI1W3DPnRY7wJiznSPCqw1tkeDC4sYPzH56+d4.Y6RsOj3LsrEem7y7YGQtLzRAnx+SOh4eYAUBk8rvIQgQnzM8ZAKbm0g0CRZc.qNrvyqUISCCzcDv4LHioQ+dHl.9PL9A8Z1jd7.KXrLfHD7YfOqvyjqLD+kj.ZC+9hckFUpmHQB0jzdHKvI09HQxbTJY3RsHWY06omwXkeYY0bkYOdZXH5cQQ.MLjaProvxpfpLegwVEaCamTJNiVT+bF29YNqA5SGjODVVDgAoyiFWo3iYhLJQyi.3zMNtxvF67fjbsuZR0J+KsXgJFJqZbRzjNUPw0beFmrmWII1W.h3yJpYyQJKxPbI9iTrfti+o0wRd85zf3q54EMD1ROMOA8SlmfJMF6PDVogLus8n785RhJOLSBsH2hfSQjUAMkKYT7tQLJBgWMpifdSZrVSZ4Ib59wU09xs2.yww5CTMLbcI9bpXljaCxQ.CwPFK402fDbHm0EH6MHj.3iFN5uSLeFrGwUN3WWW9cSsiUob1WsvSoN71Cp.8mqzlPa0VgLJsR7FOBhuyYs3RlKaXrjgVRp8STfUrj4Wpr0xKnkjaNSWZv7ALZerCsWfp0EVec52lhyrlxb+ViOxq.BeUk9pERCB+o+vPfvAUnA6R33ZXefpMvnHL5PLeffMcfNfFMnlaOH6QllnBdkmewxyu7RKZs3XCdJcYXvyZNyEWdYMGRSbOW9CxFX0g533RpwBnhEQojv5EPpS7DRNhx6KL04zB2tQ78eGbFjgnKCD0YN8bw7zr2E4shDHFEUJyBZwhwnu5YfxRoepwiRexINF4hxwzbukdMJ2t8ns2IFg8BqJeUauQGP5czC2WMwXmRu5iN0SCM03kk6zMkb5CaK402mA6MACeHnIJALUP6hgcsNN8YbyM4XeDMyS8HZZQiR3f.Fw860oNDsaS.HwCRiIxqmS3WhJaHJKbQPjrirvDIBMEkyEITVXxDgVhx+O3OgvAEhDVVU3fBpdr7GDmyQ4.SRn58RUUZfZeFqiRlr+1O7C+2U2.2oKLkippR4x+mUiO1k5ZFfiPl5zzdnRNKotp5SHeKABsUFg+wpulcOw3nQFP1TUnYFgVw9xSz8LYjvQ5dt9faoQ5K1Jd8Td8HhYmzczT41e3se9FDWb+SBnk6VLhawYaOveyqwbw9YSe7xB+yM0XmiSRX+RSN42WWB4WlLXYHwkGC9lBZfW.L22.xfDcZsqxfbUFjqxfbIICRJJhYyfjhhX1LHmcJhiEQZqKrDoO6njVhZGFkjRGNO6GqukKqA1MIvi4wgPOR3Kx7IQhQCjiFzfS6819mi66s0creusr9nWNm.apWUOW14ZNheyPtofKy2FvjuAca.m8Lr5iL2wD+hxcLZlVoeQ8anOVKwew48R7y5Khq+FwR7qtsuWique47ae3ju6papm92dvoc4Un+3e4em4xqfp9Wi3xq9pJCc4UO+QO+08kW8pNs1mDhxuudctOA2AF45XA1FRnofdTIiy2Ta07ItLrS5mS44UtWOHTLyir72qHGp05v54kZrhr78IcIXth+B965U1e+s7Y85lsWuXU45vC7w1GlDvHErmGA7mb04359rfflvzQpqTOGTsd9sDXURMxX0fz0A9VUupvQ8kADQLD0d.m3AsVNJFGfkwQSnGV1LSYqLkKmo7bYJOelxKjo7hIkCAzcwcEQFP4rOk40FuXdPAx25Sok2i1ZfxCqQMM0.XVZJJavMhDHu0U6d8xOEbb91M8fjiLnl3qxP9Zdw0lNM7tLOV21LOpc5EAPPcqVhmbLw1G4DR96H6vjZ9fJ6SbI3.kUw+1J6.rtv9oWa+yBKL+Y+Swaj9qaqGZtHQdMzaFrN9U5oJFSn6ci1XDAitO+Bte9F5xT4HwNuWPtOrWIzZriUEL2h9t72qRtIIdhsNjjocy97jw+XBfczNuIe8QgNs2V+g3iHxyUJ8WenrbSleGzVD3bkBu4470GsmMGLAfGjWPWV.jaWQy0IcnGv7HAopMSOrFYORU6FDdOuzpNrpTsR.EUAnvTk9VbkVpUBrJRoLnbJMsqJcpeb0MkwD0IvL2Yu.a.XD3bJtf8bCHxC.Xp1wjpsTq9yw9NfOz9zdQjw7V3Ru6uR6uhwyEIFOVWw34JFO+ZgwiH2wwWd7zejNjS2BIc2nW+96yChEWrexwNXae1SrC+cHKR0bcYM.h4I++DVd8cEkQlY+cGqo0A1z5I11oU0Pcz5r1wxm0NN2YsiyeV63Bm0Nt3YsiK8S2QAmh05wYcBWgADspsYHu6baNf28jZ+e.DkCnW
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RE: Hat Tip to Dominik Mayer
@Dominik-Mayer To be honest, I don't like that the titles of unread posts are underlined, because it clutters the look unnecessarily.
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RE: LAF for the filter display (floating tile)
Is the Filter Display LAF available in HISE now?
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RE: Different filters to the positive and negative portions of the wave in SNEX
@Christoph-Hart said in Different filters to the positive and negative portions of the wave in SNEX:
But how are you avoiding signal inconsistencies when jumping from one to the other?
I don't know if it's excessive not, but this inconsistency is what I was looking for :)
But somehow a basic snippet could be so helpful.
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RE: Different filters to the positive and negative portions of the wave in SNEX
Yes of course.
There is a filter example in snippet browser, but I couldn't figure out how to add filter to sequence the processing like;
waveshaper >>>> filter