FFT Analyser Path - Need help drawing the magnitude to height
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I am struggling to draw the magnitude/peak/rms of an analyzer to my path. My example snippet is just grabbing the analyser buffer from my scriptnode network and copying it to fill a path in a panel.
After some back and forth with Claude my code has become a bit messy but still I haven't solved scaling the magnitude response of the FFT analyser to the vertical axis. You can see in the example that the signal level can take an effect on the alpha. Does anyone have an example snippet on how to do this?
HiseSnippet 2775.3oc0YstaabbEdojVkHk3hj.Wj9yIF8GqbroHks7En3FIQQYITcgPTUoAtFBC2cH4TsbmE6NTRzFBn+r+q8gouH8MnnOA8Mn8LWVtyPtTRlw1IkvvZ2Yly47cNy41LaiDlOIMkk3TZwiGDSbJ84tMGDw6VqKlF4r6VNkVvscadCLuqylChwooj.mRkl8khoKsvbNxe+mueSbHNxmjOjiyILpOYOZOJOezFq+6oggaiCHGS6Yr5Gu9t9rnZrPVe.Jy5VwIF6eFtC4.rXYy35rCNsqSo661ppeExiZ4iwsvOm7rmsZqG+rm9bLoZP0mt5Sd9pUddqmr5SehuSo4qGP4rjlbLmj5TZtMYACZ1kcQjR.mPSosBIhWp5zDjrZ3sYgABUTLpSstzvfFY1nTGmRtMxsXyprX20ceZ.c334VtuPNAJmBSCXoYrg2rVvq5jfWAPpjAjlSAouzsoeBMlmOi.Oel6tQbRRaLrOYBE0Zcl4e9Ut0XvJh3k6gOircB7xPJ7dbkJO.sRkJKs1hnEifskTXKhf1mFQ6gC2tMeiHb3fTRxhucQD7a4kQ0XIDjOqWLKBXZpbXXaNkiNGmfRg8ZfAu.Ic3J2gv2hlFGhGrY+1sIIMkS6cu1WdOgHsHE7HE9OI.w0i5PiHk8SHfcTN3gs9yDet2XDEGEdJ.SflLsDDYsLz4cO87UxDWlVnQEpkDVxQ0Ksb.liKqFGXqRgFSQ7pnYXATUNkv2vmSOm3wS5SJZgwPnmAlUJpHdzaDbp2roQczP0zfKFA3hBQZl3UDf.zeDAGng9RkCIQc3c0hJgzAEhS4MXTX+D32qd8ZKluaG0l1oeBlSYQJwhs20Odmip2bmC2aKfxpkqrVF3Uy1b2WdvF6c5V0qswOBKnR4pqYO8d0OnV8SMYRkxUprp0p1Z2lM1aie7zM28flvBVs5JVSuS8ce4NGeZyZarW8gfvxLw4.3mjKxlxoqNpGhLFV3iQwPHa5PSUJsCDSrG4bRnBrZrjQmhcHebXXKHcGpMKAQh.d.6gKGPSUOg3cIns29XIUzHXHBpc+HeoYlEowj.vIrPuggaO..TH3RIISERJYPajmbBzK.8eogiK9kEVUF14RTO58nLuWwORXJYRTvhUDnW9U4ZpxnJb00frlVg8FE8iXW2Mhxo3P5aHY1.T5fTNoWglB5vU6MpRm4nCPnAjcleDqOGn0SVYK+cCMseLDTP.I5YLXt1RTOLTQFt7BWcAVyqrTz8APfhEHAknfhzWHSoiwQjvB04QT.uNip4gLv6B0h0OJPDux6RSE9z6IFdS4ndlavpkeArREIuZkWO5jcym7QiMoNYkTLCydkungOzQ4MHJ26o9SZ4Kn7taDF2E6U4xs0+dfYLzRF.sS41PiDxzfBQ7.zqfpSv+t3AntutPa7VDNTVHUyPTnLprcBqmNaIRf2BMxARJalCDuhsx8vc.Wv9AhZZBdJLz6mMlG.N4fVITyINE9Ox1Xenk.QdKHWw3VM67I6C5MTn9Rub4deS1XY6foLyuZH9hXJMxCRMZa7K.OIDd+jHyUUjgeGbT.jUDVFn5PAePAOmjL.z6KzjVnUuqjrlJhzaxhc2Qs8h.EOpH+5ZHJ56LpOoM0vve62ZmnKeMuh9ZfztKuRApmPlkEf5XlmPxKuhgQ3VOYkBmzOjkRZ1ukYg7hrs4wO1F0CXI8j45RybekI0SQbFpMMJPl6.bNn85Wb1xnLFnqzCtL8gTBznzI4be4IXcYLwOn3rnxGviPfWQO7MjDlBCiqKitEkKqB1aDEnjdg3VodBcC1hVB86z.vdsheCA1XDMYqphlhrq0jcFkZj5ERnIxLgXwb3rLugDfhkdNEZUUMVsMMD5ZlDn1bu9LxYkl9fjTt3ryStUxgtmxRVGPtHyCcLm3Q3b9NpYNDylwlT1ugOTPV1BVkv6XrHbz27Bzn9u1Fc6fdciqVMx7t3hdioPtpXfalp86FugVagncUmXZvItWLLf3ZBwW6mPP5HVUkmEKkJC.z69grNdUQeKhtDZY6QJDD4L5RQHQFytO5B60T.ACUxfSTc0Ndd..BlA71zOPs2gdHxaTVceHr59VGYXoqANCLKICwKCiBfMrAKccTZkwa.fDKeKH22KPSvG4si4VZV44RgfW6F8bGXujqrdarN9uQQZC9Iw6qtwxsF7I2m4gUe8ubpAK6ZW04uQE.nfHTin0.YIDtnq+BqTXb.iIbXEySk6yhGXbrbwnlZSA2WPQUhFmhDh7TGdE1wrwwuHhN1ft5i5nUl7iZs1hWYbZzCXbxgQfN81EWXQfciNU61ENm97eghyOVvz5SVNYB8h52qEIY3Yd0Kzozb12x172taYyWUgzXgrHg03vXh98q+ZBczkXE2NmFgvR4x6l6WouaN0IecnAhqXUeLXGI7MuDUm+vtaA6pYLB3IHmXRBmJTmRaQNm5STW52BtaQROCNGNHpg2YAnxJwdmrqDTbVRoTWzM6FubtzTjCLe4BZ.uqSI2R+8RNNcIzNc4h29GNRkbTgbs51DDxeo85CERCGSgb2QDxmXqI6gao0jO0U9rkHNd8hEwSJMpH3jKgmumaSQOO4Qspt9Dupt+huwwY7KZ8Kb2mEzODysu2Wwsiqm.bSstrUwEpFA02FXd64uCWFbkq8xfusP7KcaP49cKFiyT.FAGvODXTeE52wsNjWymmCv4b29ONs2Wdka+8k6pj+hZWJPlJg29RKgeP+dVWoapv2AbjbzWcdo+padRoXQR0DnrSCX8do3dwgji.PCc.CsbbVSHq43YxhUXZSwJ77gl9fnzzoIg27um9rBNpqTpCzXRBEhqbAaf5J4qoQmvFLiHBU8dEw6BGkljn.4K+W3mdxpCMXvjUylLOMoyAD9Erjyj6O5mg.dwlgq36O4rQXH6BQt.p1eE1Uji0fENHtKKh5KFRshLHtQO3HQ7LbtCN8XLMT3f2reJjIO3vHce0BROA1VkL9Sbgi3VFzfYNfE.SMu55TFH+FXPjin3.3lJpJOzcUARKWF4GtRMtfOYeaKkMBvYOYNsYbgM.iT5J2SwaPv2LBV+4t6ldhXVnyBmST0G.8QvSk0RARwRmWHMn1jIduiKV8cYJWLB0z7t.QYN4PxkYElFIzXzQD5QT.4xLFWGbbCfhmRxy7DZfS.3vIpDDlurIicVOrz0XpJFZlt4qUS9Yt+.9bh7yNI2890x2gC.0C8RBrwJxUV88wm6L9V+4NOzmCP33DbTJb7GRUSN2jzidLTCL0ZzQnXkBovZzsf1YirYsZHqUILEaClhpl5a1fFq7tqCsRXwL3cKNsOMqdL5O8292eecwW1fzj.Zdvgo9fgQXmMkRi9voM9AQkZC99uLFdEyg2AmD.6g9VEol859nuSL8mc8Zi0WP4i4+P8Efm61UQ6F577W98nXU.dgLL1jJxoTO5bRHDRKw3WAwvsw8C4YiZGStOKhkk4O2C3HBTupSGhkiUgJzFbN1+LSG5iHgDbpQb5uc88fD83j8k4XmJaw69Guuv8qeiqBtHQhDzOk8sOptYWaelydq5y78Ndm9dN+HGgB4O++mc5u1ExouBRtci94e+9iQ2qeLjQOreB6TeUS+hDFepbDPuijsusf69h2QEb0A8fROm56aypwHbkokvGMsD93okvUmVBexzR3SmVBe1MSnnyfM5yY8TwIP6RMpqZItjpSIYHiy+iaEPMY
Content.makeFrontInterface(400, 200); namespace MinimalFftAnalyser { // Core components const var source = Synth.getDisplayBufferSource("fx"); const var fftTimer = Engine.createTimerObject(); const var pnl_Fft = Content.getComponent("pnl_Fft0"); // Display buffer pnl_Fft.data.buffer = source.getDisplayBuffer(0); pnl_Fft.data.buffer.setActive(true); pnl_Fft.data.path = Content.createPath(); // Processing buffers const buff = Buffer.create(pnl_Fft.data.buffer.getReadBuffer().length); reg lastPoints = []; // Configuration constants const THRESHOLD = 1.0; const SIGNAL_DECAY = 0.1; const SILENCE_THRESHOLD = 0.005; const DISPLAY_BINS = 512; const HEIGHT_SCALE = 1.0; const button = Content.getComponent("Button1"); // State variables reg signalLevel = 0.0; // Button callback for enabling/disabling the FFT inline function onButton1Control(component, value) { if (value == 1) fftTimer.startTimer(30); else fftTimer.stopTimer(); } button.setControlCallback(onButton1Control); // Initialize the FFT system inline function initialize() { pnl_Fft.setPaintRoutine(fftPaintRoutine); updateFFT(); fftTimer.setTimerCallback(updateFFT); fftTimer.startTimer(30); } // Main paint routine for the FFT panel inline function fftPaintRoutine(g) { local bounds = this.getLocalBounds(0); local w = bounds[2]; local h = bounds[3]; local path = this.data.path; g.setColour(Colours.withAlpha(0xFFFFFFFF, signalLevel)); g.fillPath(path, [0, 0, w, h]); } // Detects signal level from buffer data inline function detectSignalLevel() { local magnitude = buff.getMagnitude(0, buff.length); local scaleFactor = 5.0; signalLevel = Math.max(magnitude * scaleFactor, signalLevel * SIGNAL_DECAY); signalLevel = Math.min(1.0, signalLevel); return signalLevel; } // Handles silence or very low signal inline function handleSilence(path, w, h) { for (i = 0; i < lastPoints.length; i++) lastPoints[i] = h/2; path.lineTo(w, h/2); path.lineTo(w, h/2); path.lineTo(0, h/2); path.closeSubPath(); return path; } // Normalizes buffer values to find the maximum inline function normalizeBuffer(actualBins) { local maxVal = 0.000001; // Small non-zero value for (i = 0; i < actualBins; i++) if (Math.abs(buff[i]) > maxVal) maxVal = Math.abs(buff[i]); return maxVal; } // Creates the FFT path with optimized points inline function createFilteredPath() { local bounds = pnl_Fft.getLocalBounds(0); local w = bounds[2]; local h = bounds[3]; local path = Content.createPath(); path.startNewSubPath(0, h/2); local actualBins = Math.min(DISPLAY_BINS, buff.length); detectSignalLevel(); if (lastPoints.length != actualBins) { lastPoints = []; for (i = 0; i < actualBins; i++) lastPoints[i] = h/2; } if (signalLevel < SILENCE_THRESHOLD) return handleSilence(path, w, h); local maxVal = normalizeBuffer(actualBins); for (i = 0; i < actualBins; i++) { local position = Math.log(1 + i) / Math.log(1 + actualBins); local x = position * w; local normalizedValue = Math.abs(buff[i]) / maxVal; local y = h/2 - (normalizedValue * h * HEIGHT_SCALE); y = Math.max(0, Math.min(h, y)); if (Math.abs(y - lastPoints[i]) >= THRESHOLD) { path.lineTo(x, y); lastPoints[i] = y; } else { path.lineTo(x, lastPoints[i]); } } path.lineTo(w, lastPoints[actualBins-1]); path.lineTo(w, h/2); path.lineTo(0, h/2); path.closeSubPath(); return path; } // Main update function called by the timer inline function updateFFT() { pnl_Fft.data.buffer.copyReadBuffer(buff); pnl_Fft.data.path = createFilteredPath(); pnl_Fft.repaint(); } // Initialize everything initialize(); }
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Just a bump on this if anyone has any suggestions!