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J Mangel

ive managed to get the first stage to curve as expected, but cannot do so with the dec and rel stage. Any ideas? 

gen-adsr-with-curved-stages

Gen~ adsr with curved stages

Eric Sterling

I imagine this has been answered before, but what is the preferred way to load static data into a Data object in gen (in my case it will be some tuning values)

I imagine this has been answered before, but what is the preferred way to load static data into a Data object in gen (in my case it will be...

populating-data-objects

Populating Data Objects

Conall Ó Maoláin

I'm working on a kind of spectrum visualiser. I'm using a multichannel FFT to get a range of signals at each frequency bin and display them in a kind of wave table form. In the jit.gen patch I had to separate each plane of the input matrix using the swiz operator but I'd like to be able to do this dynamically so I can use FFT's with higher resolutions without needing to add a bunch more swiz operators. 

I tried using javascript but it slows down the render rate too much. Can it be done at all?

FFT_Visualizer.maxpat

Hello,

I'm working on a kind of spectrum visualiser. I'm using a multichannel FFT to get a range of signals at each frequency bin and...

dynamic-plane-separation-in-jitgen

Dynamic plane separation in Jit.gen

noddy-oer

Hello! I'm working on a gen~ patch that relies on using two separate counters to drive two peek objects. At certain points the counters become unsync'd and I'm looking for a way to send an instantaneous trigger into their middle inlets when a parameter changes value (it's a param that only goes from 0->1 or vice versa).

I tried just setting that param into the middle inlets but as expected that just sends a steady stream of samples with whatever value the param has, and so would re-trigger the counter once per-sample which is not what I want.

Any suggestions greatly appreciated, thanks!

Gen~: Instantaneous reset trigger for counters?

gen-instantaneous-reset-trigger-for-counters

Hello! I've made a delay/looper patch that allows the user to change the step-size used by the counter object that drives  peek and poke operations such that alters the speed of playback as in the example found in the Gen tutorials. Poke's @interp settings ensures everything sounds good no matter the setting, however driving peek with non-integer values produces some really nasty aliasing.

Is there any way to perform interpolation when using non-integer values with counter that's driving peek? @interp is suspiciously absent from its attribute list.

Hello! I've made a delay/looper patch that allows the user to change the step-size used by the counter object that drives  peek and poke...

driving-a-peek-counter-with-non-integer-step-size

Driving a peek counter with non-integer step-size 

Stone

I have a gen~ patch that contains several copies of a gen abstraction, which is a bank of codebox filters in series, and the abstractions sum together before they are output into the MSP world. I can have three copies of the abstraction in a gen~ patch with no problem, but when I add a fourth I get an error message;

“gen_domain: dsp.gen: [string "gen2.Module"]:151: invalid replacement value (a nil)”. I presume this means I have one of the filters throwing 

If I’m on the right track then the rest of the message should tell me where this is happening. Can anyone help me decode the message? I have been using Gen for a while but this is new to me.

I have a gen~ patch that contains several copies of a gen abstraction, which is a bank of codebox filters in series, and the abstractions sum together before they are output into the MSP world. I can have three copies of the abstraction in a gen~ patch with no problem, but when I add a fourth I get an error message; 

“gen_domain: dsp.gen: [string "gen2.Module"]:151: invalid replacement value (a nil)”. I presume this means I have one of the filters throwing nan.  I have a bunch of filters.

Hello,
I have a gen~ patch that contains several copies of a gen abstraction, which is a bank of codebox filters in series, and the abstract

error-gen_domain-dsp-gen-string-"gen2-module"-151-invalid-replacement-value-a-nil

Error - gen_domain: dsp.gen: [string "gen2.Module"]:151: invalid replacement value (a nil)

The title says it - I've found RMS averaging through the forum, but I need bipolar averaging for a specific function. Is this possible in gen?

The title says it - I've found RMS averaging through the forum, but I need bipolar averaging for a specific function.  Is this possible in gen?

The title says it - I've found RMS averaging through the forum, but I need bipolar averaging for a specific function.  Is this possible in g

bipolar-average~-in-gen

The vanilla average~ object does bipolar averaging, doesn't it?

It does, but I'm trying to keep it in the Gen environment.

If this means simply averaging over the last N samples by adding them up and dividing by N, then one way is to have a [data] of size N, a write index that loops round the data writing in new values as they are received, and a routine to sum all the values in the data and divide by N (e.g. via a for loop). But there's a cheaper way that avoids the expensive for loop. On each passing sample frame, your sum should add the new sample, and subtract the value N samples ago; you can achieve this simply with a [delay] and a [+=] integrator. 

This makes so much sense! Thank you so much Graham, this is perfect.

There is an issue that if you change the value of N dynamically, the sum may drift away from what it should be, because you might get the input value subtracted twice or not at all; sending 'reset' to the gen~ will fix it by clearing out the delay line and setting the sum to 0. Right now I can't think of a way to fix this. 

It is a kind of windowed average but the window is a square shape, which means there's going to be some window noise if you are using this to track e.g. an oscillator. To make a more softly edged windowed average, you could either add some kind of non-leaky prefiltering of the input to spread values over time, or add some post-filtering of the average itself. Either way you will have a trade-off of the aliasing of the square window for the filtering effects, just like any windowed process. 

Solved for dynamic window size by using a tape-delay analogy. The trick is to move the write head, not the read head -- and put the erase head at the reader, not the writer. That way, even if the period is shortened or lengthened, still each value written into the tape will be read out eactly once. Also realized that post-filtering makes more sense than pre-filtering, as it may help reduce zipper when changing the period. 

Graham, this is excellent! This is going to be extremely useful.

Bipolar Average~ in Gen?

Ruz Kut

I've managed to translate the ascending insert-sort algorithm into GenExpr, but there are issues to be solved.

Mainly, it seems like it always miss some values, resulting in a semi-sorted buffer... ?

Do you think is a problem related to signed floating values ?

Is there a way to create an integer variable (not a constant) in GenExpr so the for-loops are more precise ?

I've also tried with [data] before with the same code, but It always gives me weird errors (gen~ kernel, unable to compile, etc...)

btw I'm doing this in order to modify the gen-chopper-repeat patch so that I can play grains by reading an index sorted by RMS values, so of course the more precise is the sorting the better. (the concept is that of grain-tagging, something like CataRT by IRCAM).

Hi all !
I'm no expert in code whatsoever
BUT
I've managed to translate the ascending insert-sort algorithm into GenExpr, but there are issues to be solved.
Mainly, it seems like it always miss some values, resulting in a semi-sorted buffer... ?

Do you think is a problem related to signed floating values ?
Is there a way to create an integer variable (not a constant) in GenExpr so the for-loops are more precise ?
I've also tried with [data] before with the same code, but It always gives me weird errors (gen~ kernel, unable to compile, etc...)

btw I'm doing this in order to modify the gen-chopper-repeat patch so that I can play grains by reading an index sorted by RMS values, so of course the more precise is the sorting the better. (the concept is that of grain-tagging, something like CataRT by IRCAM).


insert-sort-of-a-buffer-in-gen-codebox

Forgot to link my reference for insert-sorting
http://mathbits.com/MathBits/CompSci/Arrays/Insertion.htm

If only someone fluent with codebox could give my patch a look I'd appreciate it :)


I noticed one thing though, if you try and work with longer buffers the sorting contains less samples than the input. 

Yes -- the Max console hints at why: "gen~: audio processing exception: Too many iterations (runaway loop?)"

For safety, gen~ forces a limit on how many loop iterations can happen on each vector -- this limit is currently defined as 100000 * vector size. The reason for doing this is that too many iterations can cause an audio dropout, and infinite iterations will lock up the entire audio thread (possibly crashing it). Per Turing, there's no way to know in advance if a given piece of code will loop forever, so we work around this by having the loop iteration limit and bailing out of audio processing when this limit is reached -- and printing the warning to the Max console.

Although the buffer size in your patcher is 44100 samples long, and thus less than the loop limit, the insert-sort algorithm can cause millions of iterations due to the nested loop. This really is too many to process within one signal vector, and would cause audio dropouts. 

To process millions of samples in gen~, the solution is to distribute processing over time. Sadly there's not an easy way to convert the code to do this -- but after a bit of manual work, here it is working. What I found interesting in this is that the semantics of the code became a bit more obvious:

Note that if you want it to sort faster, you can wrap that final if() block in a for loop, but this will increase the CPU load:

Another option is to process the insertion sort via some non-gen~ solution. If you still want to use GenExpr, you could actually achieve it via jit.gen and jit.buffer~, but I don't think insertion sort is the best sorting algorithm to use, as it can't take advantage of the parallelism of cell-based processing. sample-sort, quick-sort, aa-sort etc. might work better.

Thanks for those examples - fascinating and illuminating! 

Gen Forum